WO2019239666A1 - Transport management system, transport management device, transport management method and program - Google Patents

Transport management system, transport management device, transport management method and program Download PDF

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Publication number
WO2019239666A1
WO2019239666A1 PCT/JP2019/011220 JP2019011220W WO2019239666A1 WO 2019239666 A1 WO2019239666 A1 WO 2019239666A1 JP 2019011220 W JP2019011220 W JP 2019011220W WO 2019239666 A1 WO2019239666 A1 WO 2019239666A1
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WIPO (PCT)
Prior art keywords
time
base
information
predicted
transport
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PCT/JP2019/011220
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French (fr)
Japanese (ja)
Inventor
裕治 小島
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三菱電機株式会社
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Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to JP2020525267A priority Critical patent/JP6929463B2/en
Priority to CN201980034831.1A priority patent/CN112236790B/en
Publication of WO2019239666A1 publication Critical patent/WO2019239666A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G61/00Use of pick-up or transfer devices or of manipulators for stacking or de-stacking articles not otherwise provided for
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management

Definitions

  • the present invention relates to a transportation management system, a transportation management apparatus, a transportation management method, and a program.
  • Patent Document 1 discloses a route planning apparatus that presents to a user a route whose cost has been calculated using a travel record in which a vehicle has actually traveled, and proposes more efficient transportation.
  • the present invention has been made in view of the above-described problems, and an object of the present invention is to make it possible to reduce logistics costs while securing the number of transportation vehicles necessary for transportation of transportation objects.
  • a transportation management system includes a base terminal, an in-vehicle device, and a transportation management device.
  • the base terminal is used at a loading base where a transport object is prepared.
  • the in-vehicle device is mounted on a transport vehicle that transports a transport object.
  • the transportation management device determines whether or not the transportation vehicle uses an automobile road.
  • the base terminal includes a completion time information acquisition unit and a first transmission unit.
  • the completion time information acquisition unit acquires completion time information indicating a time at which preparation of the transportation object is completed.
  • the first transmission unit transmits completion time information to the transportation management device.
  • the in-vehicle device includes a position information acquisition unit and a second transmission unit.
  • the position information acquisition unit acquires position information indicating the position of the transport vehicle on which the position information acquisition unit is mounted.
  • the second transmission unit transmits the position information to the transportation management device.
  • the transportation management device includes a receiving unit, a first storage unit, a second storage unit, an amount prediction unit, a departure / arrival time prediction unit, a berth usage state prediction unit, and a use road determination unit.
  • the receiving unit receives completion time information from the base terminal and receives position information from the in-vehicle device.
  • storage part memorize stores the load information which shows the loadable amount of a transport vehicle, and the base information which shows the location of the base including a loading base.
  • the quantity prediction unit calculates the predicted quantity by predicting the quantity of the transportation object prepared at the loading base based on the transportation object information, the preparation plan information, and the completion time information.
  • the arrival / departure time prediction unit is based on the location information, the operation plan information indicating the operation plan between the bases of the transport vehicle, and the base information, the departure time from the base of the transport vehicle that has arrived at the loading base and the next base Predicting arrival time to obtain predicted departure time and predicted arrival time, and based on the obtained predicted departure time and predicted arrival time, estimated arrival times at the respective bases of the operation plan of the transportation vehicle arriving at the loading base And the operation plan information is updated by changing the scheduled departure time from each of the bases.
  • the berth usage status prediction unit predicts the usage status of the berth that performs loading and unloading of each base based on the operation plan information updated by the arrival and departure time prediction unit.
  • the use road determination unit includes the load information, the predicted amount calculated by the amount prediction unit, the operation plan information updated by the arrival / departure time prediction unit, and the berth usage status of each base predicted by the berth usage state prediction unit.
  • the determination result using the automobile road is transmitted to the in-vehicle device of the transportation vehicle that has arrived at the base, and the number of transportation is increased, thereby increasing the number of transportation objects.
  • Logistics costs can be reduced while securing the number of transportation vehicles necessary for transportation.
  • the block diagram which shows the structure of the transport management system which concerns on embodiment of this invention The figure which shows the example of the product information which concerns on embodiment
  • the figure which shows the example of the production plan information which concerns on embodiment The figure which shows the example of the completion time information which concerns on embodiment
  • the figure which shows the example of the predicted volume floor area information which concerns on embodiment The graph which shows the time transition of the predicted volume of the production base which the volume floor area prediction part which concerns on embodiment predicted
  • the figure which shows the example of the operation plan information which concerns on embodiment The figure which shows the example of the base information which concerns on embodiment
  • the figure which shows the example of the latitude longitude information which concerns on embodiment The figure for demonstrating the process by the arrival / departure time prediction part which concerns on embodiment
  • a transport vehicle that transports products between a plurality of bases including a production base that produces products has an in-vehicle device.
  • the in-vehicle device acquires vehicle state information indicating the state of the transport vehicle on which it is mounted, and latitude / longitude information indicating the position of the transport vehicle on which it is mounted, and transmits it to the transport management device.
  • the production base terminal used at the production base acquires completion time information indicating the completion time of the product and transmits it to the transport management device.
  • the transportation management device uses the road for exclusive use in transportation of the transportation vehicle that has arrived at the production base to the next base based on the received completion time information, vehicle state information, latitude / longitude information, and information stored in advance.
  • An automobile-only road is a road having a higher maximum speed than a general road. For example, this is the expressway in China and Thailand, the highway in the United States, and the autobahn in Germany.
  • the transportation management system 100 includes a transportation management device 1, a production site terminal 2, and an in-vehicle device 3.
  • the production site terminal 2 includes, as a functional configuration, an input unit 21 that receives input of completion time information indicating the date and time when a product is completed, and a communication unit 22 that transmits completion time information.
  • the person in charge inputs completion time information to the input unit 21 every time one lot of products is completed at the production site. Completion of one lot of products includes production of one lot of products, packaging, and transportation to a warehouse.
  • the input unit 21 sends the completion time information input by the person in charge to the communication unit 22.
  • the communication unit 22 transmits the completion time information received from the input unit 21 to the transportation management device 1.
  • the input unit 21 and the communication unit 22 are examples of the completion time information acquisition unit and the first transmission unit in the present invention, respectively.
  • the in-vehicle device 3 has, as a functional configuration, an input unit 31 that receives input of vehicle state information indicating the state of the transport vehicle, and a measurement unit that measures latitude and longitude of the current position and generates latitude / longitude information indicating the position of the transport vehicle 32, a communication unit 33 that transmits vehicle state information and latitude / longitude information, and a display unit 34 that displays information received by the communication unit 33.
  • the transportation vehicle driver inputs the state of the transportation vehicle to the input unit 31.
  • work movement, standby, and rest.
  • the work indicates a state in which an operator is working at a berth that loads or unloads an arrival base.
  • the movement indicates a state of moving between the bases.
  • the standby indicates a state in which the first transport vehicle is present at the berth of the arrival base and is waiting.
  • the break indicates a state in which the transport vehicle is stopped and is resting.
  • the input unit 31 generates vehicle state information indicating the date and time input by the driver and the state of the transport vehicle, and sends the vehicle state information to the communication unit 33.
  • the communication unit 33 transmits the vehicle state information to the transportation management device 1.
  • Measure unit 32 measures the latitude and longitude of the current position at regular intervals. For example, there are 1 Hz positioning for positioning once per second, 10 Hz positioning for 10 positioning per second, and the like.
  • the measurement unit 32 periodically generates latitude / longitude information indicating the measurement date and time and the measured latitude / longitude, and sends the latitude / longitude information to the communication unit 33.
  • the measurement unit 32 generates latitude / longitude information every other minute and sends it to the communication unit 33.
  • the communication unit 33 Upon receiving the latitude / longitude information, the communication unit 33 transmits the latitude / longitude information to the transportation management device 1.
  • the input unit 31, the measurement unit 32, and the communication unit 33 are examples of a vehicle state information acquisition unit, a position information acquisition unit, and a second transmission unit in the present invention, respectively.
  • the transport management device 1 includes, as functional configurations, a communication unit 11 that transmits / receives information to / from the production base terminal 2 and the vehicle-mounted device 3, a production-related storage unit 12 that stores information related to product production, and information related to product transport.
  • a transport-related storage unit 13 is provided for storing.
  • the transportation management device 1 includes a volume floor area prediction unit 14 that predicts the volume and floor area of a product manufactured at the production site on the day, the arrival time of each transportation vehicle that arrives at the production site, and the arrival time from each site.
  • the use road judgment part 17 which judges whether to do is provided.
  • the communication unit 11 acquires completion time information from the production site terminal 2 and acquires vehicle state information and latitude / longitude information from the in-vehicle device 3.
  • the communication unit 11 stores the acquired completion time information in the production-related storage unit 12 and stores the acquired vehicle state information and latitude / longitude information in the transport-related storage unit 13.
  • the communication unit 11 is an example of a receiving unit in the present invention.
  • the production related storage unit 12 stores production plan information indicating a product production plan at a production site and product information indicating a product specification.
  • Production plan information and product information may be stored in advance, may be configured to be input by a user, or may be configured to be acquired from an external server.
  • the production related storage unit 12 is an example of a first storage unit in the present invention.
  • the product information shown in FIG. 2 includes the “product” indicating the name of the product, the “lead time” indicating the lead time that is the time taken to manufacture one lot of products, and the manufacture of one lot of products. “Cycle time” indicating the cycle time which is the time taken to start the production of the next one lot product, and “width”, “depth” and “height” indicating the size of one lot product Are “1 lot size”, “stackable number” indicating the number of product lots that can be stacked, and “lot number” indicating the number of products in one lot.
  • the lead time of the product Pa is 2 hours 30 minutes
  • the cycle time is 3 minutes
  • the size of the product of one lot is 800 mm in width, 1000 mm in depth, 1200 mm in height
  • the number of stackable products is The number of products in two stages and one lot is one.
  • the item “product” is not limited to the name of the product, but may be information identifying the product.
  • the production plan information shown in FIG. 3 includes a “date” indicating the date of manufacturing the product, a “product” indicating the name of the product to be manufactured, a “manufacturing line” indicating the manufacturing line to be used, and the number of products to be manufactured.
  • “Production quantity” indicating “Production number”
  • “Scheduled start time” indicating the scheduled time to start manufacturing
  • "Break time” indicating a predetermined day break time.
  • the manufacturing line is L1
  • the number of manufactured products is 10
  • the scheduled start time is 9:00
  • the break time is 0:45.
  • the item “product” is not limited to the name of the product, but may be information identifying the product.
  • the item “manufactured number” may be the number of lots of products to be manufactured. When the item “manufactured number” is the number of lots of a product to be manufactured, the item “lot number” may not be included in the product information. Further, when there is one production line at the production base, the item “production line” may not be present.
  • the completion time information shown in FIG. 4 includes a “date” indicating the date of the day, a “product” indicating the name of the manufactured product, and a serial number in the order of manufacture for each lot of the same product manufactured on that day. It has items of “lot No.” which is a number to be assigned and “completion time” indicating the time when the lot is completed.
  • the item “product” is not limited to the name of the product, but may be information identifying the product.
  • the item “Lot No.” is not limited to serial numbers, and may be information identifying a lot. In the completion time information of FIG. Lots 1 to 4 have already been completed. Lots 5-10 are not yet complete.
  • the volume floor area prediction unit 14 predicts the volume and floor area of the product produced on the day at the production base. In the following description, the day is assumed to be 2018/03/01.
  • the volume floor area prediction unit 14 refers to the production plan information on that day and calculates the number of production lots of the product indicated by the completion time information.
  • the volume floor area prediction unit 14 assigns information for identifying the lot to each lot of the product.
  • the volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product based on the product information.
  • the volume floor area prediction unit 14 calculates the scheduled completion time of each lot of the product in the production plan based on the production plan information and the product information.
  • the volume floor area prediction unit 14 calculates a production result difference that is a difference between the latest completion time and the scheduled completion time of the completed lot indicated by the completion time information.
  • the volume floor area prediction unit 14 calculates an adjustment time obtained by adjusting the scheduled completion time of an unfinished lot using the production result difference.
  • the volume floor area prediction unit 14 assumes that the volume and floor area of one completed product increase at the completion time of a completed lot and the adjustment time of an unfinished lot, Predict volume and floor area.
  • the volume predicted by the volume floor area prediction unit 14 is referred to as a predicted volume
  • the predicted floor area is referred to as a predicted floor area.
  • the volume floor area prediction unit 14 generates predicted volume floor area information indicating the predicted volume and the predicted floor area, and sends the predicted volume floor area information to the use road determination unit 17. Further, the volume floor area prediction unit 14 corrects the scheduled start time of a product manufactured on the same production line as the product indicated by the completion time information in the production plan information, and updates the production plan information.
  • the volume floor area prediction unit 14 is an example of a quantity prediction unit in the present invention. The scheduled completion time of each lot of product may be calculated in advance or may be included in the production plan information.
  • the predicted volume floor area information generated by the volume floor area prediction unit 14 will be described with reference to FIG.
  • the predicted volume floor area information shown in FIG. 5 includes “date” indicating the date of the day, “product” indicating the name of the product to be manufactured, “lot No.” identifying each lot, and product stacking possible.
  • the completion time is recorded in the item “adjustment time”.
  • the time in parentheses in the figure is the completion time.
  • the item “product” is not limited to the name of the product, but may be information identifying the product.
  • the item of “Lot No.” has lot No. However, the present invention is not limited to this.
  • the predicted volume floor area information shown in FIG. 5 indicates the predicted volume and the predicted floor area of the product Pa manufactured on the day at the production site.
  • the volume floor area prediction unit 14 refers to the product information in which “product” is the product Pa from the product information illustrated in FIG. 2.
  • the volume floor area prediction unit 14 refers to the production plan information in which “date” is 2018/03/01 and “product” is the product Pa from the production plan information shown in FIG.
  • the volume floor area prediction unit 14 refers to the completion time information shown in FIG.
  • the volume floor area prediction unit 14 assigns serial numbers 1 to 10 to 10 lots of the product Pa to be manufactured on the day, and records them in the item “lot No.”.
  • the volume floor area prediction unit 14 records the “number of stackable numbers” value of the product Pa of the product information in the item “number of stackable numbers”.
  • the volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product Pa based on the value of “1 lot size” of the product Pa in the product information, and calculates the calculated values as “volume” and “floor area”.
  • the volume is 0.960 (m 3 ) and the floor area is 0.800 (m 2 ).
  • the volume floor area prediction unit 14 calculates a scheduled start time, which is a scheduled time to start manufacturing each lot, from the “scheduled start time” of the product Pa in the production plan information.
  • the scheduled start time of each lot is the time when the “scheduled start time” of the product Pa in the production plan information is set as the scheduled start time of the first lot, and the value of the “cycle time” of the product Pa in the product information is added in order. is there.
  • the “planned start time” of the product Pa in the production plan information is 9:00
  • the value of the “cycle time” of the product Pa in the product information is 0:00.
  • the scheduled start times of 1 to 10 are times when 0:03 has elapsed in order from 9:00.
  • the volume floor area prediction unit 14 records the calculated scheduled start time of each lot in the item “scheduled start time of lot”.
  • the volume floor area prediction unit 14 When there is a pre-designated break time period between the scheduled start time of each lot and the time when the “lead time” value of the product Pa of the product information is added, the volume floor area prediction unit 14 In the item “time”, the value of “break time” of the product Pa in the production plan information is recorded. If there is no pre-designated break time period between the scheduled start time of each lot and the time when the “Lead time” value of the product Pa in the product information is added, the “break time” item is set to 0: 00 is recorded. Here, the break time zone is from 12:00 to 12:45, and the items of “break time” of each lot are all 0:00. The volume floor area prediction unit 14 calculates a time obtained by adding the value of the “lead time” and the “break time” of the product Pa in the product information to the scheduled start time of each lot, and the item “scheduled completion time” To record.
  • the volume floor area prediction unit 14 includes the lot No. of the product Pa in the completion time information in the item “completion time”. Record the value of “Completion Time” from 1 to 10. Although the value of “completion time” of the completion time information is in units of seconds, the volume floor area prediction unit 14 records the value of “completion time” in units of minutes in accordance with the item “scheduled completion time”. When the item of “completion time” has a value, the volume floor area prediction unit 14 records the value of “completion time” in the item “adjustment time” of the lot. When there is no value in the item “completion time”, the volume floor area prediction unit 14 calculates an adjustment time obtained by adjusting the scheduled completion time based on the latest “completion time” value. In the predicted volume floor area information shown in FIG. There is a value in the “completion time” of lots 1 to 4, and lot No. There is no value for the “completion time” of lots 5 to 10.
  • the volume floor area prediction unit 14 pays attention to the latest lot of the “completion time”, and calculates a production performance difference indicating a delay in progress or an advance.
  • the latest “completion time” is 13:59.
  • the volume floor area prediction unit 14 sets the break time during the production of the lot.
  • the value of the “break time” of the product Pa in the production plan information is set as the actual break time.
  • the volume floor area prediction unit 14 does not take a break time during the production of the lot. As a thing, the actual break time is set to 0:00. Here, since there is a break time zone from 9:09 to 13:59, the actual break time is set to 0:45. The volume floor area prediction unit 14 subtracts the value of the actual break time from the difference between the latest value of “completion time” and the value of “scheduled completion time” to calculate the production result difference. When the latest “completion time” is earlier than the “scheduled completion time”, the production performance difference is a negative value.
  • the production performance difference is a positive value.
  • the latest “completion time” is 13:59
  • the “scheduled completion time” is 11:39
  • the actual break time is 0:45
  • the production performance difference is +1: 35.
  • the volume floor area prediction unit 14 calculates a time obtained by adding the production result difference to the “scheduled completion time” for each lot having no value in the “completion time” item. If there is a pre-designated break time zone between the “lot start scheduled time” and the “scheduled completion time” plus the production performance difference, the break time will be taken during the production of the lot. The adjustment time is calculated by further adding the value of the “break time” of the product Pa in the production plan information to the time obtained by adding the production result difference to the “scheduled completion time”. If there is no pre-designated break time between the "lot start scheduled time” and the "scheduled completion time” plus the production difference, it is assumed that no break time will be taken during the production of the lot.
  • the time obtained by adding the production result difference to the “scheduled completion time” is set as the adjustment time.
  • the lot number shown in FIG. In the case of the lot of 5, when the production result difference + 1: 35 is added to the “scheduled completion time” 11:42:00, it becomes 13:17. Since there is a break time zone between 9:12 and 13:17, the volume floor area prediction unit 14 adds 14:02 obtained by adding the break time 0:45 to 13:17 as the lot number. The lot adjustment time of 5 is assumed. The volume floor area prediction unit 14 records the calculated adjustment time of each lot in the item “adjustment time”.
  • the volume floor area prediction unit 14 calculates the predicted volume by adding the value of “volume” every time one lot is manufactured.
  • the volume floor area prediction unit 14 records the calculated predicted volume in the item “predicted volume”. Since the product Pa has a “number of stackable numbers” of 2, the volume floor area prediction unit 14 calculates the predicted floor area by adding the value of “floor area” every time two lots are manufactured.
  • the volume floor area prediction unit 14 records the calculated predicted floor area in the item “predicted floor area”.
  • the “predicted volume” item indicates the predicted volume of the finished product Pa at the time of “adjustment time”, and the “predicted floor area” item indicates the completed product Pa at the time of “adjustment time”.
  • the estimated floor area is shown. In the predicted volume floor area information shown in FIG. 1-No. At the time point 14:17 when all 10 lots were produced, the predicted volume is 9.600 m 3 and the predicted floor area is 4.000 m 2 .
  • the volume floor area prediction unit 14 in advance between the “planned start time” of the product Pb manufactured on the same production line L1 as the product Pa in the production plan information and the time when the production result difference is added to the “scheduled start time”. If there is no designated break time zone, the production performance difference is added to the “scheduled start time” of the product Pb. On the other hand, if there is a pre-designated break time period between the “scheduled start time” of the product Pb and the time when the production result difference is added to the “scheduled start time”, the “scheduled start time” of the product Pb is set. Add the actual production difference and the value of the set break time. The volume floor area prediction unit 14 also performs this process for the product Pc and the product Pd manufactured on the same manufacturing line L1 as the product Pa, and updates the production plan information.
  • predicted volume floor area information including items of “scheduled time”, “break time”, “scheduled completion time”, and “completion time” has been shown, but the predicted volume floor area information includes at least “date”, “adjustment time” ”,“ Predicted volume ”, and“ predicted floor area ”may be included.
  • a set volume that is the upper limit of the volume of products that can be stored
  • a set floor area that is the upper limit of the floor area of products that can be stored.
  • the predicted volume and the predicted floor area calculated by the volume floor area prediction unit 14 increase each time a product is manufactured, and may exceed the set volume and the set floor area, respectively.
  • FIG. 6 is a graph showing the time transition of the total predicted volume of all products manufactured at the production site on the day.
  • the graph of FIG. 6 is displayed at intervals of 5 minutes for convenience, but the calculation of the predicted volume is performed in units of 1 minute.
  • the set volume of the production base warehouse is 200 m 3 , and the predicted volume increases every time the product is manufactured, and the predicted volume exceeds the set volume at 10:00.
  • the total estimated floor area of all products produced at the production site may exceed the set floor area.
  • the arrival / departure time prediction unit 15 predicts the arrival time of the transport vehicle at the production site.
  • the arrival / departure time prediction unit 15 predicts the arrival time of the transport vehicle at the production base using information stored in the transport-related storage unit 13.
  • the transport-related storage unit 13 indicates operation plan information indicating an operation plan between bases of the transport vehicle and the location of the base.
  • the base information and the load amount information indicating the loadable amount of the transport vehicle are stored.
  • the operation plan information, the base information, and the load amount information may be stored in advance, may be configured to be input by a user, or may be configured to be acquired from an external server.
  • the transport-related storage unit 13 is an example of a second storage unit in the present invention.
  • the operation plan information shown in FIG. 7 includes a “date” indicating a date for transporting the product, a “transportation vehicle” indicating the name of the transport vehicle, a “base” indicating the destination base of the transport vehicle, It has items of “state” indicating the state at the base, “scheduled arrival time” indicating the scheduled arrival time at the base, and “scheduled departure time” indicating the scheduled departure time from the base.
  • the truck T1 arrives at the factory at 9:00, and after the worker performs work, the truck T1 is scheduled to leave for the external warehouse at 9:20. is there.
  • Transportation vehicles move between factories that are production bases and other bases to transport products.
  • the item “state” corresponds to work and break among the states of the transport vehicle input to the in-vehicle device 3.
  • the item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle.
  • the item “base” is not limited to the name of the base, but may be information identifying the base. In the range illustrated in FIG. 7, a part of the operation plan for the truck T ⁇ b> 1 is displayed. However, the operation plan information for all transport vehicles by day is recorded in the operation plan information.
  • the base information shown in FIG. 8 includes “base” indicating the name of the base, “minimum latitude” indicating the minimum latitude of the base location, “maximum latitude” indicating the maximum latitude of the base location, and the location of the base. “Minimum longitude” indicating the minimum longitude, “Maximum longitude” indicating the maximum longitude of the location of the base, “Set volume” indicating the set volume of the base warehouse, and “Set floor” indicating the set floor area of the base warehouse There are items of “Area” and “Number of berths” indicating the number of berths possessed by the base. In the base information shown in FIG.
  • the minimum latitude of the factory location is 34.686727
  • the maximum latitude is 34.6888591
  • the minimum longitude is 135.524743
  • the maximum longitude is 135.527078.
  • the set volume of the factory is 200 m 3 and the set floor area is 80 m 2 .
  • the factory has two berths.
  • the item “base” is not limited to the name of the base, but may be information identifying the base. Further, the information indicating the number of berths possessed by the bases and the information indicating the automobile exclusive road existing on the movement route between the bases may be included in the base information or may be stored separately from the base information. .
  • the vehicle state information shown in FIG. 9 includes “transport vehicle” indicating the name of the transport vehicle, “date” indicating the date of the day, “time” indicating the time when the state is input, and the input of the transport vehicle. It has an item of “state” indicating the state.
  • the item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle.
  • FIG. 9 shows an example of the vehicle state information acquired from the in-vehicle device 3 of the truck T1 on that day. In the vehicle state information shown in FIG. 9, for example, in the truck T1, the worker starts work from 8:50:23 and departs to the next base at 9:10:55.
  • the transport-related storage unit 13 stores vehicle state information for all transport vehicles.
  • the latitude / longitude information shown in FIG. 10 includes “transport vehicle” indicating the name of the transport vehicle, “date” indicating the date of the day, and “time” indicating the time when the latitude and longitude of the current position of the transport vehicle are measured. , It has items of “latitude” indicating the measured latitude and “longitude” indicating the measured longitude.
  • the item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle.
  • the latitude / longitude information acquired from the vehicle-mounted device 3 of the truck T1 on the day is shown.
  • the track T1 is at a position of latitude 34.2545 and longitude 135.2353 at 8:40:00.
  • the transport-related storage unit 13 stores latitude / longitude information of all transport vehicles. The load amount information will be described later.
  • the arrival / departure time prediction unit 15 first determines whether there is a transport vehicle (hereinafter referred to as a target transport vehicle) that has arrived at the production site based on the latitude and longitude information. When determining that there is a target transport vehicle, the departure / arrival time prediction unit 15 determines whether or not vehicle state information indicating “work” of the target transport vehicle is recorded in the transport-related storage unit 13. When it is determined that the vehicle state information indicating the “work” of the target transport vehicle is recorded in the transport-related storage unit 13, the arrival / departure time prediction unit 15 is based on the past vehicle state information, the past latitude / longitude information, and the base information.
  • a transport vehicle hereinafter referred to as a target transport vehicle
  • An average work time is calculated when the same transport vehicle as the target transport vehicle at the same base is in the same state “work”.
  • the time indicated by the vehicle state information indicating the “work” of the target transport vehicle recorded in the transport related storage unit 13 is referred to as a state start time.
  • the arrival / departure time prediction unit 15 adds the average work time calculated to the state start time to calculate the state end scheduled time.
  • a production site is an example of a loading site.
  • the departure / arrival time prediction unit 15 predicts a time obtained by calculating the estimated state end time in minutes as a departure time from the production base of the target transport vehicle.
  • the departure time predicted by the arrival / departure time prediction unit 15 is referred to as a predicted departure time.
  • the arrival / departure time prediction unit 15 calculates the average travel time from the production base to the next base based on the past vehicle state information, the past latitude / longitude information, the operation plan information, and the base information of the target transport vehicle.
  • the arrival / departure time prediction unit 15 predicts a time obtained by adding the average travel time calculated to the scheduled state end time in minutes to the arrival time of the target transport vehicle at the next base.
  • the arrival time predicted by the arrival / departure time prediction unit 15 is referred to as a predicted arrival time.
  • the past vehicle state information and the past latitude / longitude referred to by the arrival / departure time prediction unit 15 may be limited in duration, for example, for the past 20 days and for the past one year.
  • a preset initial value may be used.
  • the arrival / departure time prediction unit 15 indicates the “estimated arrival time” of the target transport vehicle at the production base in the operation plan corresponding to the operation plan information, in the latitude and longitude information indicating that the target transport vehicle has arrived at the production base.
  • the corresponding operation plan is specified with reference to vehicle state information and latitude / longitude information.
  • the arrival / departure time prediction unit 15 sets the estimated departure time from the production base of the target transport vehicle in the corresponding operation plan as the predicted departure time from the production base where the target transport vehicle arrived.
  • the arrival / departure time prediction unit 15 sets the estimated arrival time to the next base of the target transport vehicle in the corresponding operation plan as the calculated predicted arrival time to the next base.
  • the arrival / departure time prediction unit 15 calculates a difference in transportation performance, which is a difference between the predicted arrival time of the target transport vehicle at the next base and the original “estimated arrival time” at the next base of the target transport vehicle in the corresponding operation plan. calculate.
  • the arrival / departure time predicting unit 15 uses the “estimated arrival time” and “scheduled departure time” of the operation plan after the “scheduled departure time” item of the next base, respectively, based on the “scheduled arrival time” and “scheduled departure time”.
  • the operation plan information is updated to the time obtained by adding the difference in transportation results to the time.
  • the departure / arrival time prediction unit 15 is an example of a departure / arrival time prediction unit in the present invention.
  • the process executed by the arrival / departure time prediction unit 15 will be described in detail with reference to FIGS. 11 and 12.
  • the truck T1 arrives at the factory that is the production base at 8:50:00 on that day.
  • the next base of the truck T1 is an external warehouse.
  • the departure / arrival time prediction unit 15 determines that the truck T1 has arrived at the factory, the departure / arrival time prediction unit 15 waits for the vehicle state information indicating the “work” of the truck T1 to be recorded in the transport-related storage unit 13.
  • the departure / arrival time prediction unit 15 sets the time 8:50:23 indicated by the vehicle state information indicating the “work” of the truck T1. State start time.
  • the arrival / departure time prediction unit 15 calculates the average when the state of the truck T1 is “work” in the factory based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13.
  • the work time is calculated and added to the state start time to calculate the state end scheduled time 9:10:57.
  • the arrival / departure time prediction unit 15 sets 9:10, which is the estimated state end time in minutes, as the predicted departure time from the factory.
  • the arrival / departure time prediction unit 15 calculates the average travel time from the factory to the external warehouse based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13, and is scheduled to end the state. Add to the time 9:10:57 to calculate the predicted arrival time 10:00 to the external warehouse in minutes.
  • FIG. 12 shows an example in which the operation plan information shown in FIG. 7 is updated using the predicted departure time and predicted arrival time of the target transport vehicle calculated by the arrival / departure time prediction unit 15 in the example of FIG.
  • the first operation plan for which the truck T1 is the factory is the corresponding operation plan.
  • the arrival / departure time prediction unit 15 records the time 8:50 indicated by the latitude / longitude information indicating arrival at the factory in the item “estimated arrival time” of the corresponding operation plan in the operation plan information.
  • the actual arrival time is displayed in parentheses.
  • the arrival / departure time prediction unit 15 records the calculated predicted departure time 9:10 in the item “scheduled departure time” of the corresponding operation plan, and in the “scheduled arrival time” column of the external warehouse as the next base, The calculated predicted arrival time 10:00 is recorded.
  • the arrival / departure time prediction unit 15 calculates a transport result difference—10 minutes, which is the difference between the predicted arrival time 10:00 of the external warehouse as the next base and the original time 10:10 of the “estimated arrival time”.
  • a transport result difference 10 minutes, which is the difference between the predicted arrival time 10:00 of the external warehouse as the next base and the original time 10:10 of the “estimated arrival time”.
  • the “Scheduled Arrival Time” and “Scheduled Departure Time” items of the operation plan after the “Scheduled Departure Time” item of the next warehouse the “Scheduled Arrival Time” and “Scheduled Departure Time” respectively. Record the time of transportation result difference minus 10 minutes and update the operation plan information.
  • the berth use state prediction unit 16 predicts the berth use state of each base.
  • the berth usage status prediction unit 16 refers to the operation plan information updated by the arrival / departure time prediction unit 15 and calculates the number of transport vehicles arriving at each base and the time zone in which the berth is used.
  • the berth use state prediction unit 16 determines whether or not berth batting occurs in which the number of arriving transport vehicles exceeds the number of berths. When berth batting does not occur, the berth usage status prediction unit 16 generates berth usage status information indicating the number of transport vehicles arriving at each base and the time zone in which the berth is used.
  • the berth use state prediction unit 16 sets the estimated arrival time of the transport vehicle waiting by berth batting in the operation plan information updated by the departure / arrival time prediction unit 15 as the scheduled departure time of the first transport vehicle. The process of changing and changing the scheduled departure time of the waiting transport vehicle in accordance with the estimated arrival time is repeated until all berth batting is resolved. When all the berth batting is eliminated, the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used. The berth usage status prediction unit 16 sends the generated berth usage status information to the usage road determination unit 17.
  • the berth usage status prediction unit 16 is an example of a berth usage status prediction unit in the present invention.
  • FIG. 13A and 13B show examples of berth usage status information for the day generated by the berth usage status prediction unit 16.
  • FIG. 13A is an example of berth usage status information in which berth batting has occurred.
  • FIG. 13B is an example of berth use status information in which berth batting is eliminated.
  • the display is performed at intervals of 5 minutes for convenience, but the berth usage status is calculated in units of 1 minute.
  • the berth use state prediction unit 16 records the values of the “base” and “berth number” items of the base information (see FIG. 8) in the “base” and “berth number” items of the berth use state information, respectively. To do.
  • the berth use state prediction unit 16 refers to the operation plan information updated by the arrival / departure time prediction unit 15 (see FIG. 12), and the time zone in which the transport vehicle arriving at each base uses the berth, that is, the transport vehicle. “1” is added to the item of the time zone from the scheduled arrival time to the base of the vehicle to the scheduled departure time from the base. As shown in FIG. 13A, berth batting occurs in which three transport vehicles exceeding the number of berths “2” in the factory arrive for 10 minutes 20 minutes to 15 minutes 35 minutes.
  • the berth use state prediction unit 16 changes the scheduled arrival time of the transport vehicle waiting by the berth batting in the operation information to the scheduled departure time of the first transport vehicle, and the scheduled departure time of the transport vehicle waiting. Is updated in accordance with the estimated arrival time until all berth batting is resolved, that is, until there is no transport vehicle waiting, and the operation information is updated.
  • the berth usage status prediction unit 16 generates berth usage status information in which the berth batting shown in FIG.
  • the berth use state prediction unit 16 generates berth use state information that highlights a time zone in which berth batting occurs, as shown in FIG. 13A, and transmits the berth use state information to the in-vehicle device 3 of the transport vehicle via the communication unit 11. Also good.
  • the berth use status information highlighting the time zone in which berth batting occurs may be transmitted to each transport vehicle or may be transmitted to the transport vehicle on standby.
  • the highlighting method is not limited to the method of inverting the color of the cell in the time zone in which barbating occurs, as in the example of FIG. 13A, but may be bold, or the character color or background color may be changed. .
  • the usage road determination unit 17 when the usage road determination unit 17 receives the berth usage status information from the berth usage status prediction unit 16, the usage road determination unit 17 first refers to the operation plan information and the base information, and starts from the production base where the target transport vehicle arrives. It is determined whether there is a dedicated road for automobiles on the route to the base. If there is no dedicated road for automobiles, the use road determination unit 17 ends the process. In the case where there is a dedicated road for automobiles, the use road determination unit 17 stores the warehouse of the production base that becomes the maximum amount within the range of the loadable capacity of the transportation vehicle that arrives at the production base based on the load capacity information and the operation plan information.
  • the volume and floor area of the product combination (hereinafter referred to as the unloading volume and unloading floor area, respectively) are calculated.
  • the use road determination unit 17 carries out the unloading volume and the unloading floor area from the predicted volume at the time when the transport vehicle arrives at the production base and the predicted floor area value of the predicted volume floor area information received from the volume floor area prediction unit 14, respectively. The value of is subtracted.
  • the use road determination unit 17 performs this process for all transport vehicles that arrive at the production site on the same day, and updates the predicted volume floor area information.
  • the loading amount information shown in FIG. 14 includes “transportation vehicle” indicating the name of the transport vehicle, and “loading platform size” indicating “width”, “depth”, and “height” indicating the size of the transport platform of the transport vehicle.
  • the size of the loading platform of the truck T1 is 2000 mm wide, 6000 mm deep, and 2800 mm high.
  • the height here indicates the maximum height from the floor surface to the roof when the loading platform has a roof, and the maximum height from the loadable floor surface when the loading platform has no roof.
  • the item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle.
  • the load amount information is not limited to information indicating the size of the loading platform, but may be information indicating the loadable amount of the transport vehicle.
  • FIG. 15 is a graph showing a three-hour time transition from 9 o'clock to 12 o'clock of the total predicted volume of all products manufactured at the production site on that day.
  • the graph of FIG. 15 is displayed at intervals of 5 minutes for convenience, but the process of subtracting the unloading volume from the predicted volume is performed in units of 1 minute.
  • the set volume of the production base warehouse is 200 m 3 .
  • the use road determination unit 17 subtracts the unloading volume from the predicted volume between the scheduled arrival time and the scheduled departure time of the transport vehicle.
  • the use road determination unit 17 subtracts the carry-out floor area from the predicted floor area at the time when the transport vehicle arrives at the production base in the predicted volume floor area information.
  • the use road determination unit 17 performs the process of subtracting the unloading volume and the unloading floor area from the predicted volume and the predicted floor area, respectively, and updating the predicted volume floor area information
  • the updated predicted volume floor area information is updated. Based on the above, it is determined whether or not there is a timing at which the predicted volume after the time when the target transport vehicle arrives exceeds the set volume or a timing at which the predicted floor area exceeds the set floor area. When there is no timing exceeding the set volume or the set floor area, the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for movement to the next base. At this time, the use road determination unit 17 may determine that the automobile-only road should not be used.
  • the use road determination unit 17 predicts arrival at the next base in the travel time when the target transport vehicle uses the automobile road for moving to the next base. Recalculate the time.
  • the use road determination unit 17 may hold in advance the travel time when the automobile-only road is used, or may calculate from past vehicle state information and past latitude / longitude information.
  • the usage road determination unit 17 refers to the berth usage status information received from the berth usage status prediction unit 16 and determines whether or not the berth is free when the next arrival point is reached at the predicted arrival time when the automobile-only road is used. Determine whether. When the berth is not vacant, the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for moving to the next base. When the berth is vacant, the use road determination unit 17 determines that the target transport vehicle uses the automobile road for movement to the next base. At this time, the use road determination unit 17 may determine that an automobile-only road should be used.
  • the use road determination unit 17 generates determination result information indicating a determination result of whether or not to use an automobile-only road, and sends the determination result information to the communication unit 11.
  • the communication unit 11 transmits the determination result information received from the use road determination unit 17 to the in-vehicle device 3 of the target transport vehicle.
  • the use road determination unit 17 may transmit the determination result information to the in-vehicle device 3 of the target transport vehicle only in the case of determination using an automobile exclusive road.
  • the usage road determination unit 17 is an example of a usage road determination unit in the present invention.
  • the communication unit 33 of the in-vehicle device 3 When the communication unit 33 of the in-vehicle device 3 receives the determination result information from the transportation management device 1, the communication unit 33 displays the information on the display unit 34.
  • the determination result information displayed on the display unit 34 is shown in FIG. In the determination result information in FIG. 16, it is instructed to use the expressway that is an automobile-only road for the movement to the external warehouse that is the next base for the truck T1 that is the target transport vehicle.
  • the transportation management apparatus 1 includes a temporary storage unit 101, a storage unit 102, a calculation unit 103, an input unit 104, an external output unit 105, and a display unit 106.
  • Temporary storage unit 101, storage unit 102, input unit 104, external output unit 105, and display unit 106 are all connected to calculation unit 103 via a BUS.
  • the calculation unit 103 is, for example, a CPU (Central Processing Unit).
  • the calculation unit 103 is a communication unit 11 of the transportation management apparatus 1, a volume floor area prediction unit 14, a departure / arrival time prediction unit 15, a berth use state prediction unit 16, and a use road determination unit according to a control program stored in the storage unit 102. Each process of 17 is performed.
  • the temporary storage unit 101 is, for example, a RAM (Random-Access Memory).
  • the temporary storage unit 101 loads a control program stored in the storage unit 102 and is used as a work area for the calculation unit 103.
  • the storage unit 102 is a nonvolatile memory such as a flash memory, a hard disk, a DVD-RAM (Digital Versatile Disc-Random Access Memory), and a DVD-RW (Digital Versatile Disc-Rewritable).
  • the storage unit 102 stores in advance a program for causing the calculation unit 103 to perform processing of the transportation management apparatus 1, and supplies data stored in the program to the calculation unit 103 in accordance with an instruction from the calculation unit 103. Data supplied from the unit 103 is stored.
  • the production-related storage unit 12 and the transport-related storage unit 13 are configured in the storage unit 102.
  • the input unit 104 is an interface device that connects an input device such as a keyboard and a pointing device and an input device such as a keyboard and a pointing device to the BUS.
  • an input device such as a keyboard and a pointing device
  • an input device such as a keyboard and a pointing device
  • the information is input via the input unit 104.
  • Information is supplied to the calculation unit 103.
  • the external output unit 105 is a network termination device or wireless communication device connected to the network, and a serial interface or LAN (Local Area Network) interface connected to them.
  • the external output unit 105 functions as the communication unit 11.
  • the display unit 106 is a display device such as a CRT (Cathode Ray Tube) or an LCD (Liquid Crystal Display). For example, in the case of a configuration in which the user inputs production plan information, product information, operation plan information, base information, or load capacity information, the display unit 106 displays an operation screen.
  • CTR Cathode Ray Tube
  • LCD Liquid Crystal Display
  • This process is executed by the control program using the temporary storage unit 101, the calculation unit 103, the storage unit 102, the input unit 104, the external output unit 105, the display unit 106, and the like as resources.
  • the central part of processing of the transportation management device 1 such as the calculation unit 103, temporary storage unit 101, storage unit 102, input unit 104, external output unit 105, display unit 106, etc. It can be realized using a computer system.
  • a computer program for executing the above-described operation is a computer-readable recording medium such as a flexible disk, a CD-ROM (Compact Disc-Read-Only Memory), and a DVD-ROM (Digital Versatile Disc-read-Only Memory).
  • the transportation management apparatus 1 that performs the above-described processing may be configured by storing and distributing the program and installing the computer program in the computer. Further, the transport management apparatus 1 may be configured by storing the computer program in a storage device included in a server device on a communication network such as the Internet and downloading the computer program by a normal computer system.
  • the functions of the transportation management device 1 are realized by sharing of an OS (Operating System) and an application program, or by cooperation between the OS and the application program, only the application program portion is stored in a recording medium or a storage device. May be.
  • OS Operating System
  • a computer program may be posted on a bulletin board (BBS, “Bulletin” Board System) on the communication network, and the above-mentioned computer program may be provided via the communication network.
  • the computer program may be started and executed in the same manner as other application programs under the control of the OS, so that the above-described processing may be executed.
  • the volume floor area prediction process shown in FIG. 18 starts when the power of the transportation management apparatus 1 is turned on. If the communication unit 11 of the transportation management device 1 does not acquire completion time information from the production site terminal 2 (step S11; NO), the communication unit 11 repeats step S11 and waits for acquisition of completion time information. When the communication unit 11 acquires completion time information from the production site terminal 2 (step S11; YES), the communication unit 11 stores the acquired completion time information in the production-related storage unit 12.
  • the volume floor area prediction unit 14 refers to the production plan information on the day and calculates the number of production lots indicated by the completion time information (step S12).
  • the volume floor area prediction unit 14 assigns information for identifying the lot to each lot (step S13).
  • the volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product indicated by the completion time information based on the product information (step S14).
  • the volume floor area prediction unit 14 sets the value of “Production quantity” of the product Pa in the production plan information shown in FIG. 3 in step S12.
  • the volume floor area predicting unit 14 assigns serial numbers 1 to 10 to 10 lots of the product Pa manufactured on the day as shown in FIG.
  • the volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product Pa based on the value of “1 lot size” of the product Pa in the product information shown in FIG.
  • the volume of one lot of product Pa is 0.960 (m 3 ) and the floor area is 0.800 (m 2 ).
  • the volume floor area prediction unit 14 calculates the scheduled completion time of each lot of the product indicated by the completion time information of the production plan on the day based on the production plan information and product information (step S15).
  • the volume floor area prediction unit 14 calculates the product Pa of the production plan information shown in FIG. 3 in step S15.
  • the “scheduled start time” is set as the scheduled start time of the first lot, and the time when the “cycle time” value of the product Pa in the product information shown in FIG. 2 is sequentially added is calculated as the scheduled start time of each lot.
  • the scheduled start times 1 to 10 are times when 3: 00: 3: 00 have elapsed in order from 9:00:00.
  • the volume floor area predicting unit 14 has a break time zone 12:00 designated in advance between the scheduled start time of each lot and the time when the “lead time” value of the product Pa of the product information shown in FIG. 2 is added. Determine if there is ⁇ 12: 45. Since there is no break time zone from 12:00 to 12:45 between the scheduled start time of each lot and the time when “lead time” of 2:30:00 is added, the volume floor area prediction unit 14 All break times during production of 1-10 lots shall be 0:00. The volume floor area predicting unit 14 determines whether the NO. A time obtained by adding the value of “lead time” of the product Pa of the product information to the scheduled start time of the lots 1 to 10 is calculated as the scheduled completion time of each lot.
  • the volume floor area prediction unit 14 adjusts the scheduled completion time of the unfinished lot based on the production result difference that is the difference between the latest scheduled completion time and the completion time of the completed lot. Time is calculated (step S16).
  • step S15 the volume floor area prediction unit 14 determines that the NO.
  • the volume floor area prediction unit 14 first focuses on the lot of the latest completion time of the product Pa, and indicates production delay or advance Calculate the difference in performance.
  • the latest completion time of the lot of product Pa is the lot number. It is 13:59 of 4 lots.
  • the volume floor area predicting unit 14 determines the lot number. Since there is a pre-designated break time zone from 12:00 to 12:45 from the scheduled lot start time of 9:09 to the completion time of 13:59, the actual break time is set to 0:45.
  • the volume floor area prediction unit 14 subtracts the value of the actual break time from the difference between the latest value of “completion time” and the value of “scheduled completion time” to calculate the production result difference.
  • the production performance difference is +1: 35.
  • the volume floor area prediction unit 14 calculates a time obtained by adding the production result difference to the “scheduled completion time” for each lot having no value in the “completion time” item.
  • the capacity floor area prediction unit 14 determines whether or not there is a pre-designated break time period between the “scheduled launch time” and the time when the production result difference is added to the “scheduled completion time”. When there is a break time zone, the capacity floor area prediction unit 14 assumes that a break time is taken during the production of the lot, and the production plan information shown in FIG.
  • the adjustment time is calculated by further adding the value of the “break time” of the product Pa.
  • the volume floor area prediction unit 14 assumes that no break time is taken during the production of the lot, and sets the time obtained by adding the production result difference to the “scheduled completion time” as the adjustment time. For example, the lot No. of product Pa shown in FIG. In the case of the lot of 5, when the production result difference + 1: 35 is added to the “scheduled completion time” 11:42:00, it becomes 13:17. Since there is a break time zone between 9:12 and 13:17, the volume floor area prediction unit 14 sets 14:02 obtained by adding the actual break time 0:45 to 13:17 as the lot number. The lot adjustment time of 5 is assumed.
  • the volume floor area prediction unit 14 assumes that the volume and floor area of one completed product will increase at the completion time of a completed lot and the adjustment time of an unfinished lot.
  • the floor area is calculated (step S17).
  • the volume floor area prediction unit 14 calculates the adjustment time obtained by adjusting the scheduled completion time of the unfinished lot of the product Pa in step S16, one volume of the volume floor area prediction unit 14 is manufactured in step S17.
  • the predicted volume is calculated by adding the value of “volume” every time. Since the product Pa has a “number of stackable numbers” of 2, the volume floor area prediction unit 14 calculates the predicted floor area by adding the value of “floor area” every time two lots are manufactured. That is, the predicted volume shown in FIG. 5 indicates the predicted volume of the finished product Pa at the time of adjustment, and the predicted floor area indicates the predicted floor area of the completed product Pa at the time of adjustment. Yes. In the example of FIG. 1-No. At the time point 14:17 when all 10 lots were produced, the predicted volume is 9.600 m 3 and the predicted floor area is 4.000 m 2 .
  • the volume floor area prediction unit 14 corrects the scheduled start time of the product manufactured on the same manufacturing line as the product indicated by the completion time information in the production plan information based on the production result difference, and produces the production plan information. Is updated (step S18).
  • the volume floor area prediction unit 14 generates predicted volume floor area information indicating the calculated predicted volume and the predicted floor area (step S19), and sends it to the use road determination unit 17.
  • the volume floor area prediction unit 14 calculates the predicted volume and the predicted floor area of the product Pa in step S17, the volume floor area prediction unit 14 performs the following processing in step S18.
  • the volume floor area prediction unit 14 in advance between the “planned start time” of the product Pb manufactured on the same production line L1 as the product Pa in the production plan information and the time when the production result difference is added to the “scheduled start time”. If there is no designated break time zone, the production result difference is added to the “scheduled start time” of the product Pb.
  • the volume floor area prediction unit 14 also performs this process for the product Pc and the product Pd manufactured on the same manufacturing line L1 as the product Pa, and updates the production plan information.
  • step S ⁇ b> 19 the volumetric floor area prediction unit 14 generates predicted volumetric floor area information shown in FIG. 5 and sends it to the use road determination unit 17.
  • step S20 when the power of the transportation management apparatus 1 is not turned off (step S20; NO), the process returns to step S11 and repeats steps S11 to S20.
  • step S20 When the power of the transportation management device 1 is turned off (step S20; YES), the process is terminated.
  • the departure / arrival time prediction process shown in FIG. 19 starts when the transportation management apparatus 1 is turned on.
  • the arrival / departure time prediction unit 15 of the transport management device 1 determines whether there is a target transport vehicle that has arrived at the production site each time latitude / longitude information is stored in the transport-related storage unit 13 (step S21).
  • step S21 determines whether there is no target transport vehicle.
  • the departure / arrival time prediction unit 15 determines whether there is a target transport vehicle (step S21; YES). If it is determined that the vehicle state information indicating the “work” of the target transport vehicle is not recorded in the transport related storage unit 13 (step S22; NO), the arrival / departure time prediction unit 15 repeats step S22 to “ It waits for the vehicle state information indicating “work” to be recorded in the transport-related storage unit 13.
  • step S21 when the departure / arrival time prediction unit 15 refers to the latitude / longitude information shown in FIG. 10 and determines that the truck T1 arriving at the production base at 8:50:00 is the target transport vehicle as shown in FIG. In S ⁇ b> 22, the departure / arrival time prediction unit 15 waits for the vehicle state information indicating “work” of the truck T ⁇ b> 1 to be recorded in the transport-related storage unit 13.
  • the arrival / departure time prediction unit 15 determines the vehicle state information, latitude / longitude information. Then, based on the base information, the estimated end time of the “work” state is calculated as the predicted departure time from the production base where it arrived (step S23). The arrival / departure time prediction unit 15 calculates a predicted arrival time of the target transport vehicle at the next base based on the vehicle state information, the latitude / longitude information, and the base information (step S24).
  • the arrival / departure time prediction unit 15 sets the “scheduled arrival time” to the production base of the target transport vehicle in the corresponding operation plan as the time of the latitude / longitude information indicating that the target transport vehicle has arrived at the production base.
  • the departure / arrival time prediction unit 15 sets the “departure scheduled time” from the production base of the target transport vehicle in the corresponding operation plan to the predicted departure time from the production base at which the target transport vehicle arrives calculated in step S23.
  • the arrival / departure time prediction unit 15 sets the “estimated arrival time” to the next base of the target transport vehicle in the corresponding operation plan as the predicted arrival time at the next base calculated in step S24.
  • the departure / arrival time prediction unit 15 determines in step S22 that the vehicle state information indicating the “work” of the first truck T1 shown in FIG. 9 is recorded in the transport-related storage unit 13, the arrival / departure time prediction is performed in step S23. As illustrated in FIG. 11, the unit 15 sets time 8:50:23 indicated by the vehicle state information indicating “work” of the truck T1 as the state start time.
  • the arrival / departure time prediction unit 15 is based on past vehicle state information, past latitude / longitude information, and base information stored in the transport-related storage unit 13, and the state of the truck T1 in the factory is “work”.
  • the average work time is calculated and added to the state start time to calculate the state end scheduled time 9:10:57.
  • the arrival / departure time prediction unit 15 sets the estimated departure time from the factory at 9:10 with the estimated state end time in minutes.
  • step S24 the departure / arrival time prediction unit 15 moves from the factory to the external warehouse based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13, as shown in FIG.
  • the average travel time is calculated.
  • the arrival / departure time prediction unit 15 calculates an estimated arrival time 10:00 to the next external warehouse, which is the unit of minutes by adding the average travel time to the estimated departure time 9:10:57.
  • the arrival / departure time prediction unit 15 records the time 8:50 indicated by the latitude / longitude information indicating arrival at the factory in the “estimated arrival time” item of the corresponding operation plan in the operation plan information. To do. In the example of FIG. 12, the actual arrival time is displayed in parentheses. The arrival / departure time prediction unit 15 records the calculated predicted departure time 9:10 in the item “scheduled departure time” of the corresponding operation plan, and in the “scheduled arrival time” column of the external warehouse as the next base, The calculated predicted arrival time 10:00 is recorded.
  • the arrival / departure time prediction unit 15 sets “estimated arrival time” and “estimated departure time” after the “estimated departure time” item of the next base of the operation plan of the target transport vehicle to “estimated arrival time”, respectively.
  • the schedule information is updated to the time obtained by adding the difference in transportation results to the original time of “and scheduled departure time” (step S25), and the process ends.
  • step S24 when the arrival / departure time prediction unit 15 calculates the predicted arrival time 10:00 to the external warehouse that is the next base of the target transport vehicle, in step S25, the departure / arrival time prediction unit 15 A transport result difference—10 minutes, which is the difference between the predicted arrival time 10:00 of the warehouse and the original time 10:10 of the “scheduled arrival time”, is calculated.
  • the arrival / departure time prediction unit 15 includes the “estimated arrival time” of the operation plan after the “departure scheduled time” item of the external warehouse which is the next base of the original operation plan information shown in FIG.
  • the “scheduled departure time” item the times of “scheduled arrival time” and “scheduled departure time” plus the difference in transportation performance minus 10 minutes are recorded, and the operation plan information is updated.
  • the transportation management device 1 When the arrival / departure time prediction process is completed, the transportation management device 1 performs a berth use state prediction process for predicting a berth use state at each base. From here, the berth use condition prediction process which the transportation management apparatus 1 performs is demonstrated using FIG. 12, FIG. 13A, FIG. 13B, and FIG. The berth use state prediction process shown in FIG. 20 starts when the arrival / departure time prediction process ends.
  • the berth use state prediction unit 16 of the transport management device 1 refers to the operation plan information on the day and uses the number of transport vehicles arriving at each base and the berth time. A band is calculated (step S31).
  • the berth use state prediction unit 16 determines whether or not berth batting occurs (step S32). When berth batting does not occur (step S32; NO), the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used (step S34). .
  • the berth use state prediction unit 16 refers to the operation plan information shown in FIG. 12, calculates the number of transport vehicles arriving at each base and the time zone in which the berth is used.
  • the berth usage status information shown in FIG. 13A in which “1” is added to the item of the time zone from the arrival time to the departure time from the base is generated in step S32, the berth usage status prediction unit 16 in FIG. Regarding usage status information, it is determined that berth batting occurs in which three transport vehicles exceeding the number of berths “2” of the factory arrive for 15 minutes from 10:20 to 35/35.
  • the berth use state prediction unit 16 changes the scheduled arrival time of the transport vehicle waiting by berth batting to the scheduled departure time of the first transport vehicle. Then, the scheduled departure time of the waiting transportation vehicle is changed in accordance with the estimated arrival time, and the operation plan information is updated (step S33).
  • the berth use state prediction unit 16 repeats steps S32 and S33 until all berth batting is eliminated. When all the berth batting is eliminated (step S32; NO), the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used (step S34). ).
  • the berth usage status prediction unit 16 sends the generated berth usage status information to the usage road determination unit 17 and ends the process.
  • step S33 the berth usage status prediction unit 16 waits for transportation by berth batting.
  • the scheduled arrival time of the vehicle is changed to the scheduled departure time of the first transport vehicle, the scheduled departure time of the transport vehicle waiting is changed according to the scheduled arrival time, and the operation information updated by the departure / arrival time prediction unit 15 is updated. .
  • the operation information is updated by repeating the process of changing the scheduled departure time of the waiting transport vehicle in accordance with the estimated arrival time until all berth batting is resolved.
  • step S ⁇ b> 34 the berth usage status prediction unit 16 generates berth usage status information in which the berth batting shown in FIG. 13B has been eliminated, and sends it to the usage road determination unit 17.
  • the transportation management device 1 determines whether or not the target transport vehicle uses an automobile road for movement to the next base and displays the determination result on the target transport vehicle. Judgment processing is performed. From here, the use road determination process which the transportation management apparatus 1 performs is demonstrated using FIG.8, FIG.11, FIG.14, FIG.16 and FIG. The usage road determination process shown in FIG. 21 starts when the berth usage status prediction process ends.
  • the usage road determination unit 17 of the transportation management apparatus 1 receives the berth usage status information from the berth usage status prediction unit 16, it refers to the operation plan information and the base information, and from the production base where the target transport vehicle arrives to the next base. It is determined whether or not there is a dedicated road for automobiles (step S41).
  • the use road determination unit 17 predicts based on the load amount information and the operation plan information when there is a dedicated road for a car on the route from the production base where the target transport vehicle arrives to the next base (step S41; YES).
  • the value of the unloading volume and the unloading floor area is subtracted from the predicted volume and the predicted floor area value at the time when the transport vehicle of the volume floor area information arrives (step S42).
  • the use road determination unit 17 performs the process of step S42 for all transport vehicles arriving at the production site on the day, and updates the predicted volume floor area information (step S43).
  • step S41 based on the operation plan information updated by the berth use state prediction unit 16 and the base information shown in FIG. 8, the usage road determination unit 17 sets the route from the factory to the external warehouse for the truck T1 shown in FIG. If it is determined that there is an expressway Y, in step S42, the use road determination unit 17 calculates the predicted volume floor area information based on the load information shown in FIG. 14 and the operation plan information updated by the berth use state prediction unit 16. The unloading volume value is subtracted from the predicted volume value at the time when the transport vehicle arrives. Similarly, for the predicted floor area, the use road determination unit 17 subtracts the carry-out floor area from the predicted floor area at the time when the transport vehicle having the predicted volume floor area information arrives at the production base.
  • step S43 the use road determination unit 17 determines the unloading volume and unloading from the predicted volume and predicted floor area value at the time when the transport vehicle arrives in the predicted volume floor area information for all the transport vehicles arriving at the production site on that day. A process of subtracting the value of the floor area is performed, and the predicted volume floor area information is updated.
  • the use road determination unit 17 determines the predicted volume or the predicted floor area after the arrival time of the target transport vehicle exceeds the set volume or the set floor area, respectively, based on the updated predicted volume floor area information. It is determined whether or not there is (step S44). When there is no timing exceeding the set volume or the set floor area (step S44; NO), the use road determination unit 17 determines that the target transport vehicle does not use the automobile exclusive road for moving to the next base (step S45). . When there is a timing exceeding the set volume or the set floor area (step S44; YES), the use road determination unit 17 sets the next travel time when the target transport vehicle uses an automobile-only road to move to the next base. The predicted arrival time at the base is recalculated (step S46).
  • the use road determination unit 17 is a timing at which the predicted volume or the predicted floor area after the time when the truck T1 arrives at the factory exceeds the set volume or the set floor area, respectively. If it is determined that there is, the use road determination unit 17 recalculates the predicted arrival time at the external warehouse based on the travel time when the truck T1 uses the highway Y to travel to the external warehouse.
  • the use road determination unit 17 refers to the berth use state information received from the berth use state prediction unit 16, and confirms whether the next base berth is vacant at the predicted arrival time when the car-only road is used. It is determined whether or not (step S47). When the berth at the next base is not empty (step S47; NO), the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for movement to the next base (step S45). When the berth at the next base is vacant (step S47; YES), the use road determination unit 17 determines that the target transport vehicle uses the automobile-only road to move to the next base (step S48).
  • step S47 with reference to the berth use status information shown in FIG. 13B, if the use road determination unit 17 determines that the berth of the external warehouse is vacant at the recalculated predicted arrival time, the use road is determined in step S48. The determination unit 17 determines that the truck T1 uses the highway for movement to the external warehouse.
  • the use road determination unit 17 generates determination result information indicating a determination result as to whether or not to use an automobile-only road (step S49), and sends the determination result information to the communication unit 11.
  • the communication part 11 transmits the determination result information received from the use road determination part 17 to the vehicle-mounted apparatus 3 (step S50), and complete
  • the processing may be terminated, and the use road determination unit 17 may transmit the determination result information to the in-vehicle device 3 only when it is determined to use the automobile-only road.
  • step S49 the use road determination unit 17 generates determination result information indicating that the truck T1 uses the highway to move to the external warehouse.
  • step S50 the communication unit 11 transmits the determination result information to the target transport.
  • a screen shown in FIG. 16 is displayed on the display unit 34 of the in-vehicle device 3.
  • the transportation management system 100 in the manufacturing industry, based on the information obtained from the production base terminal 2 and the in-vehicle device 3 by the transportation management device 1, the amount of products manufactured on the day is predicted, When the quantity of products manufactured on the day exceeds the set upper limit, the number of transportation is increased by displaying an instruction to use an automobile road on the in-vehicle device 3 of the target transportation vehicle, and the quantity of transportation is small By not using an automobile road, logistics costs can be reduced while securing the number of transport vehicles necessary for product transportation.
  • the transport object in the present invention may be an article transported from a base to another base.
  • the transport object may be a packaged agricultural product, marine product, raw material, material, craft, collection, etc. that can specify the package form, and may be an individual, a liquid, a gas, or a mixture thereof.
  • the packing form does not necessarily need to be identifiable.
  • the production bases described above may be broadly any bases where the objects to be transported are prepared and collected, and include so-called collection / delivery centers and distribution centers.
  • the production base terminal 2 of the embodiment is understood as a base terminal.
  • the base terminal need not be a dedicated terminal as long as the functions described in the embodiment can be realized. Further, the base terminal only needs to be able to input and transmit base information, and does not need to be installed at the base, and a base terminal having the function may be prepared in any place.
  • the functions of the base terminals may be distributed and arranged.
  • Transportation vehicles are not limited to automobiles, but include all vehicles that can transport goods, such as railway vehicles, railway wagons, ships, and airplanes. However, it is assumed that a relatively low-speed and low-cost transportation route and a relatively high-speed and high-cost transportation route can be selected.
  • the in-vehicle device 3 is not limited to a dedicated device, and may be a tablet device, a mobile terminal device, a PDA (Personal Data Assistant) or the like.
  • the in-vehicle device 3 is transmitted and notified of the determination result as to whether or not to use the road for exclusive use of the automobile, but is displayed on the display device installed at the base, or notified to the driver's mobile terminal by e-mail.
  • the notification may be made by using a voice telephone, SNS, or the like.
  • the notification method itself is arbitrary.
  • Product information indicating product specifications is broadly understood as transport object information indicating transport object specifications.
  • Production plan information is generally understood to correspond to preparation plan information indicating a preparation plan for preparation including manufacturing, production, packing, transport to a warehouse, etc. of an object to be transported.
  • the product completion time information is generally understood as completion time information indicating the time when preparation for transportation of the object to be transported is completed.
  • the timing at which the person in charge inputs the completion time information to the base terminal may be when the transportation object is actually prepared, or when the time when the transportation object can be prepared is determined.
  • the production performance difference is generally understood to correspond to the performance difference that is the difference between the latest time when the preparation of the transportation object indicated by the completion time information is completed and the scheduled completion time in the preparation plan.
  • Berth means a wide space that can be loaded and unloaded at the base.
  • the predicted volume is the predicted volume and the predicted floor area.
  • the predicted volume is not limited to the volume and the floor area.
  • the height after stacking of products produced on the day at the production site is set as the predicted volume. Further prediction may be made.
  • the use road determination unit 17 determines whether or not there is a timing when the predicted volume after the time when the target transport vehicle arrives exceeds the set volume or when the predicted floor area exceeds the set floor area.
  • the threshold used as a criterion for determining whether or not the predicted quantity has been exceeded is not limited to the upper limit of the quantity of products that can be stored, but can be set by the user to any value that is less than or equal to the upper limit of the quantity of products that can be stored May be.
  • the route may be determined to be changed or changed in consideration of other conditions such as a transportation cost and a time zone in which the traffic is congested, without being limited to an automobile-only road.
  • the berth of the next base is vacant or the waiting time is below the reference time at the predicted arrival time when a predetermined condition is satisfied and another route including an automobile-only road is used to the next base If a predetermined criterion such as is satisfied, it may be determined that another route including an automobile road is used or should be used for transportation to the next base.
  • the quantity is predicted in units of days.
  • the quantity may be predicted in units of shorter unit times, for example, 12 hours, 8 hours, or the like.
  • a longer time may be used as the unit time.
  • the position information in the present invention may be information indicating the position of the transport vehicle that can be acquired by the in-vehicle device 3.
  • the completion time information, the vehicle state information, the latitude / longitude information, the predicted volume floor area information, and the berth use state information include the item “date”, but the transportation management device 1 includes a timer, When the date of the current day is held, the item of “date” may not be included in these pieces of information.
  • the description has been made on the assumption that the driver of the transportation vehicle always inputs the state of the transportation vehicle to the in-vehicle device 3 when the state of the transportation vehicle changes.
  • the transportation management device 1 detects the occurrence of the forgetting input, determines the state of forgetting the input, and determines the vehicle state information. You may make it the structure updated.
  • the base information includes information indicating the berth area of the base.
  • the transport management device 1 Forgetting to input “operation” is detected, and vehicle state information indicating the “operation” state of the transport vehicle is recorded. If the state of the transport vehicle indicated by the vehicle state information remains “work” and the position of the transport vehicle indicated by the latitude / longitude information continues for a predetermined time, the transport management device 1 Forgetting to input “movement” is detected, and vehicle state information indicating the “movement” state of the transport vehicle is recorded.
  • the transportation management device 1 is the time when the state of the transport vehicle indicated by the latitude / longitude information is in a position other than the berth in the location of the base while the state of the transport vehicle indicated by the vehicle state information remains “moving” If it is continued, forgetting to input “standby” is detected, and vehicle state information indicating the “standby” state of the transport vehicle is recorded.
  • the transport management device 1 Forgetting to input “operation” is detected, and vehicle state information indicating the “operation” state of the transport vehicle is recorded.
  • the transportation management device 1 performs “rest”. Is detected, and vehicle state information indicating the “rest” state of the transport vehicle is recorded.
  • the transportation management device 1 Forgetting to input is detected, and vehicle state information indicating the “moving” state of the transport vehicle is recorded.
  • the arrival / departure time prediction unit 15 determines whether or not vehicle state information indicating “work” of the target transport vehicle is recorded in the transport-related storage unit 13 in the arrival / departure time prediction process.
  • the base information includes information indicating the berth area of the base
  • the arrival / departure time prediction unit 15 determines that the target transport vehicle is within the berth based on the latitude / longitude information stored in the transport-related storage unit 13. You may determine whether it entered.
  • the departure / arrival time prediction unit 15 determines that the target transport vehicle has entered the berth, the same transport as the target transport vehicle at the same base based on the past vehicle state information, the past latitude / longitude information, and the base information. An average work time when the vehicle state is “work” is calculated.
  • the arrival / departure time prediction unit 15 determines whether the transport vehicle is in a working, moving, standby, or resting state based on the vehicle state information. Not only this but the departure / arrival time estimation part 15 may discriminate
  • the operation plan information is stored in advance in the transportation management apparatus 1 and is input by the user into the transportation management apparatus 1 or acquired by the transportation management apparatus 1 from an external server.
  • the transport management device 1 determines an operation plan based on the adjustment time calculated by the volume floor area prediction unit 14, the state of each transport vehicle, latitude / longitude information, load information, base information, etc. Operation plan information may be created.
  • the transportation management device 1 determines the lot of a product to be completed at the adjustment time calculated by the volume floor area prediction unit 14 based on the state of each transportation vehicle, latitude / longitude information, loading information, base information, and the like.
  • the transportation destination, transportation vehicle, transportation date and time are determined, and operation plan information is created.
  • the transport-related storage unit 13 may not store the operation plan information.
  • the arrival / departure time prediction unit 15 may determine an operation plan based on the adjustment time calculated by the volume floor area prediction unit 14, the state of each transport vehicle, latitude / longitude information, load information, base information, and the like. . In this case, the arrival / departure time prediction unit 15 sets “estimated arrival time” to the production base of the target transport vehicle in the operation plan, “scheduled departure time” from the production base, and “scheduled arrival time” to the next base, respectively.
  • the operation plan information is created using the time of the latitude / longitude information indicating that the target transport vehicle has arrived at the production base, the predicted departure time, and the predicted arrival time.
  • the use road determination unit 17 determines, for the target transport vehicle that has arrived at the production base, the timing when the predicted volume after the time of arrival at the production base exceeds the set volume or the predicted floor area exceeds the set floor area. If there is a timing, if the berth of the next base is vacant at the predicted arrival time when the car-only road is used, it is determined that the car-only road is used for movement to the next base. Not limited to this, for transport vehicles that have arrived at a base other than the production base, if the next base is a production base, the transport vehicle will be the target transport vehicle.
  • the use road determination process is a process in which step S42 and step 43 are omitted from the flowchart shown in FIG.
  • 1 transport management device 2 production base terminal, 3 onboard device, 11 communication unit, 12 production related storage unit, 13 transport related storage unit, 14 volumetric floor area prediction unit, 15 arrival / departure time prediction unit, 16 berth usage status prediction unit, 17 Use road determination part, 21 input part, 22 communication part, 31 input part, 32 measurement part, 33 communication part, 34 display part, 100 transport management system, 101 temporary storage part, 102 storage part, 103 calculation part, 104 input Part, 105 external output part, 106 display part, X, Y expressway.

Abstract

A communication unit (11) of this transport management device (1) receives completion time information that indicates a completion time of products from a production base terminal (2), and latitude/longitude information that indicates the location of a transport vehicle from a vehicle-mounted device (3). A volume floor area prediction unit (14) predicts the quantity of products to be produced at a production base on the basis of product information that indicates the specification of the products, production plan information that indicates a production plan of the products, and the completion time information. A departure/arrival time prediction unit (15) predicts departure/arrival times at each base of the transport vehicle to update operation plan information that indicates an operation plan of the transport vehicle, on the basis of the latitude/longitude information, the operation plan information, and base information that indicates the location of the base. A bus usage situation prediction unit (16) predicts a usage situation of a bus at each base on the basis of the updated operation plan information. A road-to-be-used determination unit (17) determines whether a target transport vehicle uses a vehicle-dedicated road to the next base on the basis of load volume information that indicates an allowable load volume of the transport vehicle, the updated operation plan information, the predicted quantity of the products, and the bus usage situation.

Description

輸送管理システム、輸送管理装置、輸送管理方法およびプログラムTransportation management system, transportation management apparatus, transportation management method and program
 本発明は、輸送管理システム、輸送管理装置、輸送管理方法およびプログラムに関する。 The present invention relates to a transportation management system, a transportation management apparatus, a transportation management method, and a program.
 製造業の生産拠点や物流倉庫では、日々変化する輸送物量に対して、確実に輸送できる数のトラックを手配する必要がある。近年、通信販売による輸送物量の増加により、トラック不足およびドライバー不足が発生している。そこで、より効率的な輸送が望まれる。このような要望に対し、生産計画から算出した輸送物量のバンニングのシミュレーションを行い、必要なトラック数を算出する配車計画ツールを有する物流支援ソフト、複数のトラックの位置を把握可能な、GPSを活用した経路計画装置などが提案されている。 In manufacturing bases and distribution warehouses in the manufacturing industry, it is necessary to arrange the number of trucks that can be transported reliably for the amount of cargo that changes daily. In recent years, due to an increase in the amount of goods transported by mail order, there is a shortage of trucks and drivers. Therefore, more efficient transportation is desired. In response to such demands, logistics support software that has a dispatch plan tool that calculates the number of required trucks by simulating vanning of the amount of goods calculated from the production plan, utilizing GPS that can grasp the position of multiple trucks Proposed route planning devices have been proposed.
 特許文献1には、車が実際に走行した走行記録を利用してコスト計算した経路をユーザに提示し、より効率的な輸送を提案する経路計画装置が開示されている。 Patent Document 1 discloses a route planning apparatus that presents to a user a route whose cost has been calculated using a travel record in which a vehicle has actually traveled, and proposes more efficient transportation.
特開平11-272983号公報JP-A-11-272983
 前述の物流支援ソフトの配車計画ツールに、輸送物量が平準化されていない生産計画を入力すると、輸送物量が毎日変化するため、必要なトラック台数が毎日異なる結果になる。近年のトラック不足およびドライバー不足により、毎日トラックの台数を変更することに対応できる物流業者は少ない。このような状況では、製品の輸送に必要な数の輸送車両を確保するためには、輸送物量が多いときに合わせたトラック数を用意する必要がある。この場合、輸送物量が少ないときにはトラックの積載率が低くなって無駄が発生することから、物流費が高くなることが課題となっている。 入 力 If you enter a production plan that does not equalize the amount of goods to the dispatch plan tool of the logistics support software mentioned above, the quantity of trucks will change every day because the quantity of goods changes every day. Due to the shortage of trucks and drivers in recent years, few logistics companies can cope with changing the number of trucks every day. In such a situation, in order to secure the number of transportation vehicles necessary for the transportation of the product, it is necessary to prepare the number of trucks adapted for a large amount of transportation. In this case, when the amount of goods to be transported is small, the loading rate of the truck becomes low and waste occurs, so that the distribution cost becomes high.
 本発明は、上記のような問題点に鑑みてなされたものであり、輸送対象物の輸送に必要な数の輸送車両を確保しつつ、物流費を削減可能にすることを目的とする。 The present invention has been made in view of the above-described problems, and an object of the present invention is to make it possible to reduce logistics costs while securing the number of transportation vehicles necessary for transportation of transportation objects.
 上記目的を達成するため、本発明に係る輸送管理システムは、拠点端末と、車載装置と、輸送管理装置とを備える。拠点端末は、輸送対象物が用意される荷積拠点で使用される。車載装置は、輸送対象物を輸送する輸送車両に車載される。輸送管理装置は、輸送車両が自動車専用道路を利用するか否かを決定する。拠点端末は、完了時刻情報取得部、および、第1送信部を含む。完了時刻情報取得部は、輸送対象物の用意が完了する時刻を示す完了時刻情報を取得する。第1送信部は、完了時刻情報を輸送管理装置に送信する。車載装置は、位置情報取得部、および、第2送信部を含む。位置情報取得部は、自身が搭載された輸送車両の位置を示す位置情報を取得する。第2送信部は、位置情報を輸送管理装置に送信する。輸送管理装置は、受信部、第1記憶部、第2記憶部、物量予測部、発着時刻予測部、バース使用状況予測部、および、利用道路判定部を含む。受信部は、拠点端末から完了時刻情報を受信し、車載装置から位置情報を受信する。第1記憶部は、輸送対象物の仕様を示す輸送対象物情報、および、輸送対象物の準備計画を示す準備計画情報を記憶する。第2記憶部は、輸送車両の積載可能量を示す積載量情報、および、荷積拠点を含む拠点の所在地を示す拠点情報を記憶する。物量予測部は、輸送対象物情報、準備計画情報および完了時刻情報に基づいて、荷積拠点において用意される輸送対象物の物量を予測して予測物量を算出する。発着時刻予測部は、位置情報、輸送車両の拠点間の運行計画を示す運行計画情報および拠点情報に基づいて、荷積拠点に到着した輸送車両の該拠点からの出発時刻および次の拠点への到着時刻を予測して予測出発時刻および予測到着時刻を求め、求めた予測出発時刻および予測到着時刻に基づいて、荷積拠点に到着した輸送車両の運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して運行計画情報を更新する。バース使用状況予測部は、発着時刻予測部が更新した運行計画情報に基づいて、それぞれの前記拠点の荷積みおよび荷下ろしを行うバースの使用状況を予測する。利用道路判定部は、積載量情報、物量予測部が算出した予測物量、発着時刻予測部が更新した運行計画情報、および、バース使用状況予測部が予測したそれぞれの前記拠点のバースの使用状況に基づいて、物量予測部が算出した予測物量が閾値を超えるタイミングがあり、かつ、次の拠点までの輸送で自動車専用道路を利用した場合の予測到着時刻に次の拠点のバースが空いている場合は、荷積拠点に到着した輸送車両が次の拠点までの輸送で自動車専用道路を利用すると判定し、判定結果を示す判定結果情報を到着した輸送車両の車載装置に送信する。 In order to achieve the above object, a transportation management system according to the present invention includes a base terminal, an in-vehicle device, and a transportation management device. The base terminal is used at a loading base where a transport object is prepared. The in-vehicle device is mounted on a transport vehicle that transports a transport object. The transportation management device determines whether or not the transportation vehicle uses an automobile road. The base terminal includes a completion time information acquisition unit and a first transmission unit. The completion time information acquisition unit acquires completion time information indicating a time at which preparation of the transportation object is completed. The first transmission unit transmits completion time information to the transportation management device. The in-vehicle device includes a position information acquisition unit and a second transmission unit. The position information acquisition unit acquires position information indicating the position of the transport vehicle on which the position information acquisition unit is mounted. The second transmission unit transmits the position information to the transportation management device. The transportation management device includes a receiving unit, a first storage unit, a second storage unit, an amount prediction unit, a departure / arrival time prediction unit, a berth usage state prediction unit, and a use road determination unit. The receiving unit receives completion time information from the base terminal and receives position information from the in-vehicle device. A 1st memory | storage part memorize | stores the transport object information which shows the specification of a transport object, and the preparation plan information which shows the preparation plan of a transport object. A 2nd memory | storage part memorize | stores the load information which shows the loadable amount of a transport vehicle, and the base information which shows the location of the base including a loading base. The quantity prediction unit calculates the predicted quantity by predicting the quantity of the transportation object prepared at the loading base based on the transportation object information, the preparation plan information, and the completion time information. The arrival / departure time prediction unit is based on the location information, the operation plan information indicating the operation plan between the bases of the transport vehicle, and the base information, the departure time from the base of the transport vehicle that has arrived at the loading base and the next base Predicting arrival time to obtain predicted departure time and predicted arrival time, and based on the obtained predicted departure time and predicted arrival time, estimated arrival times at the respective bases of the operation plan of the transportation vehicle arriving at the loading base And the operation plan information is updated by changing the scheduled departure time from each of the bases. The berth usage status prediction unit predicts the usage status of the berth that performs loading and unloading of each base based on the operation plan information updated by the arrival and departure time prediction unit. The use road determination unit includes the load information, the predicted amount calculated by the amount prediction unit, the operation plan information updated by the arrival / departure time prediction unit, and the berth usage status of each base predicted by the berth usage state prediction unit. When the predicted quantity calculated by the quantity forecasting unit exceeds the threshold, and the berth at the next base is vacant at the predicted arrival time when using a motorway for transportation to the next base Determines that the transport vehicle arriving at the loading base uses the automobile-only road for transport to the next base, and transmits determination result information indicating the determination result to the in-vehicle device of the transport vehicle that has arrived.
 本発明によれば、輸送対象物の予測物量が閾値を超えるときには自動車専用道路を利用する判定結果を拠点に到着した輸送車両の車載装置に送信し、輸送回数を増やすことで、輸送対象物の輸送に必要な数の輸送車両を確保しつつ、物流費を削減することができる。 According to the present invention, when the predicted amount of the transportation object exceeds the threshold value, the determination result using the automobile road is transmitted to the in-vehicle device of the transportation vehicle that has arrived at the base, and the number of transportation is increased, thereby increasing the number of transportation objects. Logistics costs can be reduced while securing the number of transportation vehicles necessary for transportation.
本発明の実施の形態に係る輸送管理システムの構成を示すブロック図The block diagram which shows the structure of the transport management system which concerns on embodiment of this invention 実施の形態に係る製品情報の例を示す図The figure which shows the example of the product information which concerns on embodiment 実施の形態に係る生産計画情報の例を示す図The figure which shows the example of the production plan information which concerns on embodiment 実施の形態に係る完成時刻情報の例を示す図The figure which shows the example of the completion time information which concerns on embodiment 実施の形態に係る予測容積床面積情報の例を示す図The figure which shows the example of the predicted volume floor area information which concerns on embodiment 実施の形態に係る容積床面積予測部が予測した生産拠点の予測容積の時間推移を示すグラフThe graph which shows the time transition of the predicted volume of the production base which the volume floor area prediction part which concerns on embodiment predicted 実施の形態に係る運行計画情報の例を示す図The figure which shows the example of the operation plan information which concerns on embodiment 実施の形態に係る拠点情報の例を示す図The figure which shows the example of the base information which concerns on embodiment 実施の形態に係る車両状態情報の例を示す図The figure which shows the example of the vehicle state information which concerns on embodiment 実施の形態に係る緯度経度情報の例を示す図The figure which shows the example of the latitude longitude information which concerns on embodiment 実施の形態に係る発着時刻予測部による処理について説明するための図The figure for demonstrating the process by the arrival / departure time prediction part which concerns on embodiment 実施の形態に係る発着時刻予測部によって更新された運行計画情報の例を示す図The figure which shows the example of the operation plan information updated by the departure / arrival time prediction part which concerns on embodiment 実施の形態に係るバースバッティングが発生しているバース使用状況情報の例を示す図The figure which shows the example of the berth use condition information in which the berth batting has occurred according to the embodiment 実施の形態に係るバースバッティングを解消したバース使用状況情報の例を示す図The figure which shows the example of the berth usage status information which eliminated the berth batting which concerns on embodiment 実施の形態に係る積載量情報の例を示す図The figure which shows the example of the load amount information which concerns on embodiment 実施の形態に係る利用道路判定部が算出した拠点における予測容積および搬出容積の時間推移を示すグラフThe graph which shows the time transition of the predicted volume and the unloading volume in the base which the utilization road determination part which concerns on embodiment calculated 実施の形態に係る判定結果情報を表示した表示画面の例を示す図The figure which shows the example of the display screen which displayed the determination result information which concerns on embodiment 実施の形態に係る輸送管理装置のハードウェア構成の一例を示す図The figure which shows an example of the hardware constitutions of the transportation management apparatus which concerns on embodiment 実施の形態に係る容積床面積予測処理を示すフローチャートThe flowchart which shows the volume floor area prediction process which concerns on embodiment 実施の形態に係る発着時刻予測処理を示すフローチャートThe flowchart which shows the departure / arrival time prediction process which concerns on embodiment 実施の形態に係るバース使用状況予測処理を示すフローチャートThe flowchart which shows the berth use condition prediction process which concerns on embodiment 実施の形態に係る利用道路判定処理を示すフローチャートThe flowchart which shows the use road determination process which concerns on embodiment
 以下に、本発明の実施の形態に係る輸送管理システム、輸送管理装置、輸送管理方法およびプログラムについて図面を参照して詳細に説明する。なお、図中同一または相当する部分には同じ符号を付す。 Hereinafter, a transportation management system, a transportation management apparatus, a transportation management method, and a program according to an embodiment of the present invention will be described in detail with reference to the drawings. In addition, the same code | symbol is attached | subjected to the part which is the same or it corresponds in a figure.
 本実施の形態の輸送管理システムでは、製品を生産する生産拠点を含む複数の拠点間で製品を輸送する輸送車両が車載装置を有する。車載装置は、自身が搭載された輸送車両の状態を示す車両状態情報、および、自身が搭載された輸送車両の位置を示す緯度経度情報を取得し、輸送管理装置に送信する。生産拠点で使用される生産拠点端末は、製品の完成時刻を示す完成時刻情報を取得し、輸送管理装置に送信する。輸送管理装置は、受信した完成時刻情報、車両状態情報および緯度経度情報と、予め記憶する情報とに基づいて、生産拠点に到着した輸送車両が次の拠点までの輸送で自動車専用道路を使用するか否かを判定し、当該輸送車両の車載装置に判定結果を表示させる。自動車専用道路とは、一般道よりも定められた最高速度が早い道路である。例えば、中国およびタイではエクスプレスウェイ、アメリカではハイウェイ、ドイツではアウトバーンがこれに当たる。 In the transport management system of the present embodiment, a transport vehicle that transports products between a plurality of bases including a production base that produces products has an in-vehicle device. The in-vehicle device acquires vehicle state information indicating the state of the transport vehicle on which it is mounted, and latitude / longitude information indicating the position of the transport vehicle on which it is mounted, and transmits it to the transport management device. The production base terminal used at the production base acquires completion time information indicating the completion time of the product and transmits it to the transport management device. The transportation management device uses the road for exclusive use in transportation of the transportation vehicle that has arrived at the production base to the next base based on the received completion time information, vehicle state information, latitude / longitude information, and information stored in advance. Or not, and the determination result is displayed on the in-vehicle device of the transport vehicle. An automobile-only road is a road having a higher maximum speed than a general road. For example, this is the expressway in China and Thailand, the highway in the United States, and the autobahn in Germany.
 ここで、図1を用いて本発明の実施の形態に係る輸送管理システムの構成について説明する。図1に示すように、輸送管理システム100は、輸送管理装置1と、生産拠点端末2と、車載装置3とを備える。生産拠点端末2は、機能構成として、製品が完成した日時を示す完成時刻情報の入力を受け付ける入力部21と、完成時刻情報を送信する通信部22とを備える。担当者は、生産拠点において1ロットの製品が完成するごとに、完成時刻情報を入力部21に入力する。1ロットの製品の完成とは、1ロットの製品が製造され、梱包され、倉庫まで搬送されることを含む。入力部21は、担当者が入力した完成時刻情報を通信部22に送る。通信部22は入力部21から受け取った完成時刻情報を輸送管理装置1に送信する。入力部21および通信部22はそれぞれ、本発明における完了時刻情報取得部および第1送信部の例である。 Here, the configuration of the transportation management system according to the embodiment of the present invention will be described with reference to FIG. As shown in FIG. 1, the transportation management system 100 includes a transportation management device 1, a production site terminal 2, and an in-vehicle device 3. The production site terminal 2 includes, as a functional configuration, an input unit 21 that receives input of completion time information indicating the date and time when a product is completed, and a communication unit 22 that transmits completion time information. The person in charge inputs completion time information to the input unit 21 every time one lot of products is completed at the production site. Completion of one lot of products includes production of one lot of products, packaging, and transportation to a warehouse. The input unit 21 sends the completion time information input by the person in charge to the communication unit 22. The communication unit 22 transmits the completion time information received from the input unit 21 to the transportation management device 1. The input unit 21 and the communication unit 22 are examples of the completion time information acquisition unit and the first transmission unit in the present invention, respectively.
 車載装置3は、機能構成として、輸送車両の状態を示す車両状態情報の入力を受け付ける入力部31と、現在位置の緯度経度を計測して輸送車両の位置を示す緯度経度情報を生成する計測部32と、車両状態情報および緯度経度情報を送信する通信部33と、通信部33が受信した情報を表示する表示部34とを備える。輸送車両の状態が変化すると、輸送車両の運転手が入力部31に輸送車両の状態を入力する。ここでは、輸送車両の状態は、作業、移動、待機、および、休憩の4つの状態があることとする。作業は、到着した拠点の荷積みまたは荷下ろしを行うバースで、作業者が作業をしている状態を示す。移動は、拠点間を移動している状態を示す。待機は、到着した拠点のバースに先着の輸送車両が存在しており待機している状態を示す。休憩は、輸送車両を停車して休憩中の状態を示す。入力部31は、運転手が入力した日時と輸送車両の状態とを示す車両状態情報を生成し、通信部33に送る。通信部33は車両状態情報を受け取ると、輸送管理装置1に送信する。 The in-vehicle device 3 has, as a functional configuration, an input unit 31 that receives input of vehicle state information indicating the state of the transport vehicle, and a measurement unit that measures latitude and longitude of the current position and generates latitude / longitude information indicating the position of the transport vehicle 32, a communication unit 33 that transmits vehicle state information and latitude / longitude information, and a display unit 34 that displays information received by the communication unit 33. When the state of the transportation vehicle changes, the transportation vehicle driver inputs the state of the transportation vehicle to the input unit 31. Here, it is assumed that there are four states of the transport vehicle: work, movement, standby, and rest. The work indicates a state in which an operator is working at a berth that loads or unloads an arrival base. The movement indicates a state of moving between the bases. The standby indicates a state in which the first transport vehicle is present at the berth of the arrival base and is waiting. The break indicates a state in which the transport vehicle is stopped and is resting. The input unit 31 generates vehicle state information indicating the date and time input by the driver and the state of the transport vehicle, and sends the vehicle state information to the communication unit 33. When the communication unit 33 receives the vehicle state information, the communication unit 33 transmits the vehicle state information to the transportation management device 1.
 計測部32は、一定の間隔で現在位置の緯度経度を計測する。例えば1秒間に1回測位する1Hz測位、1秒間に10回測位する10Hz測位などがある。計測部32は、定期的に計測日時と計測した緯度経度とを示す緯度経度情報を生成し、通信部33に送る。本実施の形態では、計測部32は、1分おきに緯度経度情報を生成し、通信部33に送る。通信部33は緯度経度情報を受け取ると、輸送管理装置1に送信する。入力部31、計測部32および通信部33はそれぞれ、本発明における車両状態情報取得部、位置情報取得部および第2送信部の例である。 Measure unit 32 measures the latitude and longitude of the current position at regular intervals. For example, there are 1 Hz positioning for positioning once per second, 10 Hz positioning for 10 positioning per second, and the like. The measurement unit 32 periodically generates latitude / longitude information indicating the measurement date and time and the measured latitude / longitude, and sends the latitude / longitude information to the communication unit 33. In the present embodiment, the measurement unit 32 generates latitude / longitude information every other minute and sends it to the communication unit 33. Upon receiving the latitude / longitude information, the communication unit 33 transmits the latitude / longitude information to the transportation management device 1. The input unit 31, the measurement unit 32, and the communication unit 33 are examples of a vehicle state information acquisition unit, a position information acquisition unit, and a second transmission unit in the present invention, respectively.
 輸送管理装置1は、機能構成として、生産拠点端末2および車載装置3と情報の送受信をする通信部11、製品の生産に関する情報を記憶する生産関連記憶部12、および、製品の輸送に関する情報を記憶する輸送関連記憶部13を備える。また、輸送管理装置1は、生産拠点で当日製造される製品の容積および床面積を予測する容積床面積予測部14、生産拠点に到着した輸送車両の各拠点への到着時刻および各拠点からの出発時刻を予測する発着時刻予測部15、各拠点のバースの使用状況を予測するバース使用状況予測部16、および、生産拠点に到着した輸送車両が次の拠点までの移動に自動車専用道路を利用するか否かを判定する利用道路判定部17を備える。 The transport management device 1 includes, as functional configurations, a communication unit 11 that transmits / receives information to / from the production base terminal 2 and the vehicle-mounted device 3, a production-related storage unit 12 that stores information related to product production, and information related to product transport. A transport-related storage unit 13 is provided for storing. In addition, the transportation management device 1 includes a volume floor area prediction unit 14 that predicts the volume and floor area of a product manufactured at the production site on the day, the arrival time of each transportation vehicle that arrives at the production site, and the arrival time from each site. A departure / arrival time prediction unit 15 that predicts departure time, a berth use state prediction unit 16 that predicts berth usage at each site, and a transport vehicle that has arrived at the production site uses an automobile-only road to move to the next site. The use road judgment part 17 which judges whether to do is provided.
 通信部11は、生産拠点端末2から完成時刻情報を取得し、車載装置3から車両状態情報および緯度経度情報を取得する。通信部11は、取得した完成時刻情報を生産関連記憶部12に記憶し、取得した車両状態情報および緯度経度情報を輸送関連記憶部13に記憶する。通信部11は、本発明における受信部の例である。 The communication unit 11 acquires completion time information from the production site terminal 2 and acquires vehicle state information and latitude / longitude information from the in-vehicle device 3. The communication unit 11 stores the acquired completion time information in the production-related storage unit 12 and stores the acquired vehicle state information and latitude / longitude information in the transport-related storage unit 13. The communication unit 11 is an example of a receiving unit in the present invention.
 生産関連記憶部12には、通信部11によって記憶された完成時刻情報に加え、生産拠点における製品の生産計画を示す生産計画情報と、製品の仕様を示す製品情報とが記憶されている。生産計画情報および製品情報は、予め記憶されていてもよいし、ユーザが入力する構成にしてもよいし、外部のサーバから取得する構成にしてもよい。生産関連記憶部12は、本発明における第1記憶部の例である。 In addition to the completion time information stored by the communication unit 11, the production related storage unit 12 stores production plan information indicating a product production plan at a production site and product information indicating a product specification. Production plan information and product information may be stored in advance, may be configured to be input by a user, or may be configured to be acquired from an external server. The production related storage unit 12 is an example of a first storage unit in the present invention.
 ここで、図2を用いて、生産関連記憶部12が記憶する製品情報について説明する。図2に示す製品情報は、製品の名称を示す「製品」と、1ロットの製品を製造するのにかかる時間であるリードタイムを示す「リードタイム」と、1ロットの製品の製造に着手してから次の1ロットの製品の製造に着手するまでにかかる時間であるサイクルタイムを示す「サイクルタイム」と、1ロットの製品の大きさを示す「幅」、「奥行き」および「高さ」である「1ロットサイズ」と、製品のロットの段積み可能数を示す「段積み可能数」と、1ロットの製品の個数を示す「ロット個数」との項目を有する。図2の製品情報では、例えば、製品Paの、リードタイムは2時間30分、サイクルタイムは3分、1ロットの製品の大きさは幅800mm・奥行き1000mm・高さ1200mm、段積み可能数は2段、1ロットの製品の個数は1個である。「製品」の項目は、製品の名称に限らず、製品を識別する情報であればよい。 Here, the product information stored in the production-related storage unit 12 will be described with reference to FIG. The product information shown in FIG. 2 includes the “product” indicating the name of the product, the “lead time” indicating the lead time that is the time taken to manufacture one lot of products, and the manufacture of one lot of products. “Cycle time” indicating the cycle time which is the time taken to start the production of the next one lot product, and “width”, “depth” and “height” indicating the size of one lot product Are “1 lot size”, “stackable number” indicating the number of product lots that can be stacked, and “lot number” indicating the number of products in one lot. In the product information of FIG. 2, for example, the lead time of the product Pa is 2 hours 30 minutes, the cycle time is 3 minutes, the size of the product of one lot is 800 mm in width, 1000 mm in depth, 1200 mm in height, and the number of stackable products is The number of products in two stages and one lot is one. The item “product” is not limited to the name of the product, but may be information identifying the product.
 続いて、図3を用いて、生産関連記憶部12が記憶する生産計画情報について説明する。図3に示す生産計画情報は、製品を製造する日付を示す「日付」と、製造する製品の名称を示す「製品」と、使用する製造ラインを示す「製造ライン」と、製造する製品の個数を示す「製造個数」と、製造に着手する予定時刻を示す「着手予定時刻」と、予め決められた1日の休憩時間を示す「休憩時間」との項目を有する。図3の生産計画情報では、例えば、2018/03/01に製造する製品Paについて、製造ラインはL1、製造個数は10個、着手予定時刻は9:00、休憩時間は0:45である。「製品」の項目は、製品の名称に限らず、製品を識別する情報であればよい。「製造個数」の項目は、製造する製品のロット数であってもよい。「製造個数」の項目が製造する製品のロット数である場合には、製品情報に「ロット個数」の項目は含まなくてもよい。また、生産拠点の製造ラインが1つの場合、「製造ライン」の項目はなくてもよい。 Subsequently, the production plan information stored in the production related storage unit 12 will be described with reference to FIG. The production plan information shown in FIG. 3 includes a “date” indicating the date of manufacturing the product, a “product” indicating the name of the product to be manufactured, a “manufacturing line” indicating the manufacturing line to be used, and the number of products to be manufactured. "Production quantity" indicating "Production number", "Scheduled start time" indicating the scheduled time to start manufacturing, and "Break time" indicating a predetermined day break time. In the production plan information of FIG. 3, for example, for the product Pa manufactured on 2018/03/01, the manufacturing line is L1, the number of manufactured products is 10, the scheduled start time is 9:00, and the break time is 0:45. The item “product” is not limited to the name of the product, but may be information identifying the product. The item “manufactured number” may be the number of lots of products to be manufactured. When the item “manufactured number” is the number of lots of a product to be manufactured, the item “lot number” may not be included in the product information. Further, when there is one production line at the production base, the item “production line” may not be present.
 続いて、図4を用いて、生産関連記憶部12が記憶する完成時刻情報について説明する。図4に示す完成時刻情報は、当日の日付を示す「日付」と、製造した製品の名称を示す「製品」と、当日製造される同じ製品の各ロットに対して製造される順に連番で付与される番号である「ロットNO.」と、当該ロットが完成した時刻を示す「完成時刻」との項目を有する。「製品」の項目は、製品の名称に限らず、製品を識別する情報であればよい。「ロットNO.」の項目は、連番に限らず、ロットを識別する情報であればよい。図4の完成時刻情報では、製品PaのロットNO.1~4のロットがすでに完成しており、ロットNO.5~10のロットはまだ完成していない。 Subsequently, the completion time information stored in the production-related storage unit 12 will be described with reference to FIG. The completion time information shown in FIG. 4 includes a “date” indicating the date of the day, a “product” indicating the name of the manufactured product, and a serial number in the order of manufacture for each lot of the same product manufactured on that day. It has items of “lot No.” which is a number to be assigned and “completion time” indicating the time when the lot is completed. The item “product” is not limited to the name of the product, but may be information identifying the product. The item “Lot No.” is not limited to serial numbers, and may be information identifying a lot. In the completion time information of FIG. Lots 1 to 4 have already been completed. Lots 5-10 are not yet complete.
 図1に戻り、容積床面積予測部14は、完成時刻情報が生産関連記憶部12に記憶されると、生産拠点において当日生産される製品の容積および床面積を予測する。以下の説明において、当日は2018/03/01とする。容積床面積予測部14は、当日の生産計画情報を参照し、完成時刻情報が示す製品の製造ロット数を算出する。容積床面積予測部14は、製品の各ロットに、ロットを識別する情報を付与する。容積床面積予測部14は、製品情報に基づいて、製品の1ロットの容積および床面積を算出する。 Returning to FIG. 1, when the completion time information is stored in the production-related storage unit 12, the volume floor area prediction unit 14 predicts the volume and floor area of the product produced on the day at the production base. In the following description, the day is assumed to be 2018/03/01. The volume floor area prediction unit 14 refers to the production plan information on that day and calculates the number of production lots of the product indicated by the completion time information. The volume floor area prediction unit 14 assigns information for identifying the lot to each lot of the product. The volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product based on the product information.
 具体的には、容積床面積予測部14は、生産計画情報および製品情報に基づいて、生産計画における製品の各ロットの完成予定時刻を算出する。容積床面積予測部14は、完成時刻情報が示す完成済のロットの最新の完成時刻と完成予定時刻との差である生産実績差を算出する。容積床面積予測部14は、生産実績差を用いて未完成のロットの完成予定時刻を調整した調整時刻を算出する。容積床面積予測部14は、完成済のロットの完成時刻および未完成のロットの調整時刻に、完成する1ロットの製品の容積および床面積が増えるものとして、生産拠点で当日製造される製品の容積および床面積を予測する。以下、容積床面積予測部14が予測した容積を予測容積、予測した床面積を予測床面積という。 Specifically, the volume floor area prediction unit 14 calculates the scheduled completion time of each lot of the product in the production plan based on the production plan information and the product information. The volume floor area prediction unit 14 calculates a production result difference that is a difference between the latest completion time and the scheduled completion time of the completed lot indicated by the completion time information. The volume floor area prediction unit 14 calculates an adjustment time obtained by adjusting the scheduled completion time of an unfinished lot using the production result difference. The volume floor area prediction unit 14 assumes that the volume and floor area of one completed product increase at the completion time of a completed lot and the adjustment time of an unfinished lot, Predict volume and floor area. Hereinafter, the volume predicted by the volume floor area prediction unit 14 is referred to as a predicted volume, and the predicted floor area is referred to as a predicted floor area.
 容積床面積予測部14は、予測容積および予測床面積を示す予測容積床面積情報を生成し、利用道路判定部17に送る。また、容積床面積予測部14は、生産計画情報において完成時刻情報が示す製品と同じ製造ラインで製造される製品の着手予定時刻を生産実績差に基づいて補正し、生産計画情報を更新する。容積床面積予測部14は、本発明における物量予測部の例である。なお、製品の各ロットの完成予定時刻は、予め計算されていてもよいし、生産計画情報に含んでもよい。 The volume floor area prediction unit 14 generates predicted volume floor area information indicating the predicted volume and the predicted floor area, and sends the predicted volume floor area information to the use road determination unit 17. Further, the volume floor area prediction unit 14 corrects the scheduled start time of a product manufactured on the same production line as the product indicated by the completion time information in the production plan information, and updates the production plan information. The volume floor area prediction unit 14 is an example of a quantity prediction unit in the present invention. The scheduled completion time of each lot of product may be calculated in advance or may be included in the production plan information.
 ここで、図5を用いて、容積床面積予測部14が生成する予測容積床面積情報について説明する。図5に示す予測容積床面積情報は、当日の日付を示す「日付」と、製造する製品の名称を示す「製品」と、各ロットを識別する「ロットNO.」と、製品の段積み可能数を示す「段積み可能数」と、当該ロットの製造に着手する予定時刻を示す「ロット着手予定時刻」と、当該ロットの製造中の休憩時間を示す「休憩時間」と、当該ロットが完成する予定時刻を示す「完成予定時刻」と、1ロットの製品の容積を示す「容積」と、1ロットの製品を置いた場合に占有する床面積を示す「床面積」と、当該ロットが完成した時刻を示す「完成時刻」と、当該ロットが未完成の場合に完成済のロットの最新の完成時刻に基づいて完成予定時刻を調整した調整時刻を示す「調整時刻」と、「調整時刻」の時点で完成済の製品のロットの予測容積を示す「予測容積」と、「調整時刻」の時点で完成済の製品のロットの予測床面積を示す「予測床面積」との項目を有する。当該ロットが完成済みの場合は、「調整時刻」の項目には完成時刻が記録される。図中の括弧書きの時刻は完成時刻である。「製品」の項目は、製品の名称に限らず、製品を識別する情報であればよい。「ロットNO.」の項目は、ロットNO.に限らず、ロットを識別する情報であればよい。 Here, the predicted volume floor area information generated by the volume floor area prediction unit 14 will be described with reference to FIG. The predicted volume floor area information shown in FIG. 5 includes “date” indicating the date of the day, “product” indicating the name of the product to be manufactured, “lot No.” identifying each lot, and product stacking possible. “Number of stackable numbers” indicating the number, “Scheduled time to start the lot” indicating the scheduled time to start manufacturing the lot, “Break time” indicating the break time during the manufacturing of the lot, and the lot is completed “Scheduled completion time” indicating the scheduled time to perform, “volume” indicating the volume of one lot of product, “floor area” indicating the floor area occupied when one lot of product is placed, and the lot is completed “Adjustment time” indicating the completed time, and “adjustment time” indicating the adjustment time obtained by adjusting the scheduled completion time based on the latest completion time of the completed lot when the lot is incomplete Shows the predicted volume of the finished product lot at It has a "prediction volume", the item of the shows the predicted floor area of the lot of the finished pre-product at the time of the "adjustment time", "predict floor area". When the lot has been completed, the completion time is recorded in the item “adjustment time”. The time in parentheses in the figure is the completion time. The item “product” is not limited to the name of the product, but may be information identifying the product. The item of “Lot No.” has lot No. However, the present invention is not limited to this.
 図5に示す予測容積床面積情報は、生産拠点において当日製造される製品Paの予測容積および予測床面積を示している。図5に示す予測容積床面積情報を生成するにあたり、容積床面積予測部14は、図2に示す製品情報の中から「製品」が製品Paの製品情報を参照する。容積床面積予測部14は、図3に示す生産計画情報の中から、「日付」が2018/03/01で「製品」が製品Paの生産計画情報を参照する。容積床面積予測部14は、図4に示す完成時刻情報を参照する。 The predicted volume floor area information shown in FIG. 5 indicates the predicted volume and the predicted floor area of the product Pa manufactured on the day at the production site. In generating the predicted volume floor area information illustrated in FIG. 5, the volume floor area prediction unit 14 refers to the product information in which “product” is the product Pa from the product information illustrated in FIG. 2. The volume floor area prediction unit 14 refers to the production plan information in which “date” is 2018/03/01 and “product” is the product Pa from the production plan information shown in FIG. The volume floor area prediction unit 14 refers to the completion time information shown in FIG.
 容積床面積予測部14は、生産計画情報の製品Paの「製造個数」の値を製品情報の「ロット個数」の値で除算して、製品Paの製造ロット数を算出する。ここでは、10÷1=10個のロットを製造する。容積床面積予測部14は、当日製造する製品Paの10個のロットに対し連番で1~10までの番号を付与し、「ロットNO.」の項目に記録する。容積床面積予測部14は、「段積み可能数」の項目には、製品情報の製品Paの「段積み可能数」の値を記録する。容積床面積予測部14は、製品情報の製品Paの「1ロットサイズ」の値に基づいて、製品Paの1ロットの容積および床面積を算出し、算出した値を「容積」および「床面積」の項目に記録する。容積は、幅(mm)÷1000×奥行き(mm)÷1000×高さ(mm)÷1000=容積(m)の式で求める。床面積は、幅(mm)÷1000×奥行き(mm)÷1000=床面積(m)の式で求める。ここでは、容積が0.960(m)、床面積が0.800(m)である。 The volume floor area prediction unit 14 calculates the number of production lots of the product Pa by dividing the value of the “production number” of the product Pa in the production plan information by the value of the “lot number” of the product information. Here, 10 ÷ 1 = 10 lots are manufactured. The volume floor area prediction unit 14 assigns serial numbers 1 to 10 to 10 lots of the product Pa to be manufactured on the day, and records them in the item “lot No.”. The volume floor area prediction unit 14 records the “number of stackable numbers” value of the product Pa of the product information in the item “number of stackable numbers”. The volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product Pa based on the value of “1 lot size” of the product Pa in the product information, and calculates the calculated values as “volume” and “floor area”. In the item. The volume is determined by the formula of width (mm) ÷ 1000 × depth (mm) ÷ 1000 × height (mm) ÷ 1000 = volume (m 3 ). The floor area is determined by the formula of width (mm) ÷ 1000 × depth (mm) ÷ 1000 = floor area (m 2 ). Here, the volume is 0.960 (m 3 ) and the floor area is 0.800 (m 2 ).
 容積床面積予測部14は、生産計画情報の製品Paの「着手予定時刻」から、各ロットの製造に着手する予定時刻である着手予定時刻を算出する。各ロットの着手予定時刻は、生産計画情報の製品Paの「着手予定時刻」を最初のロットの着手予定時刻とし、順に製品情報の製品Paの「サイクルタイム」の値を加えていった時刻である。ここでは、生産計画情報の製品Paの「着手予定時刻」が9:00、製品情報の製品Paの「サイクルタイム」の値が0:03:00であるので、ロットNO.1~10の着手予定時刻は、9:00から順に0:03ずつ経過した時刻である。容積床面積予測部14は、算出した各ロットの着手予定時刻を「ロット着手予定時刻」の項目に記録する。 The volume floor area prediction unit 14 calculates a scheduled start time, which is a scheduled time to start manufacturing each lot, from the “scheduled start time” of the product Pa in the production plan information. The scheduled start time of each lot is the time when the “scheduled start time” of the product Pa in the production plan information is set as the scheduled start time of the first lot, and the value of the “cycle time” of the product Pa in the product information is added in order. is there. Here, the “planned start time” of the product Pa in the production plan information is 9:00, and the value of the “cycle time” of the product Pa in the product information is 0:00. The scheduled start times of 1 to 10 are times when 0:03 has elapsed in order from 9:00. The volume floor area prediction unit 14 records the calculated scheduled start time of each lot in the item “scheduled start time of lot”.
 容積床面積予測部14は、各ロットの着手予定時刻から製品情報の製品Paの「リードタイム」の値を加えた時刻までの間に予め指定された休憩時間帯がある場合には、「休憩時間」の項目に、生産計画情報の製品Paの「休憩時間」の値を記録する。各ロットの着手予定時刻から製品情報の製品Paの「リードタイム」の値を加えた時刻までの間に予め指定された休憩時間帯がない場合には、「休憩時間」の項目には0:00が記録される。ここでは、休憩時間帯は12:00~12:45とし、各ロットの「休憩時間」の項目はすべて0:00である。容積床面積予測部14は、各ロットの着手予定時刻に、製品情報の製品Paの「リードタイム」の値と「休憩時間」の値を加えた時刻を算出し、「完成予定時刻」の項目に記録する。 When there is a pre-designated break time period between the scheduled start time of each lot and the time when the “lead time” value of the product Pa of the product information is added, the volume floor area prediction unit 14 In the item “time”, the value of “break time” of the product Pa in the production plan information is recorded. If there is no pre-designated break time period between the scheduled start time of each lot and the time when the “Lead time” value of the product Pa in the product information is added, the “break time” item is set to 0: 00 is recorded. Here, the break time zone is from 12:00 to 12:45, and the items of “break time” of each lot are all 0:00. The volume floor area prediction unit 14 calculates a time obtained by adding the value of the “lead time” and the “break time” of the product Pa in the product information to the scheduled start time of each lot, and the item “scheduled completion time” To record.
 容積床面積予測部14は、「完成時刻」の項目には、完成時刻情報の製品PaのロットNO.1~10の「完成時刻」の値を記録する。完成時刻情報の「完成時刻」の値は秒単位であるが、容積床面積予測部14は、「完成予定時刻」の項目に合わせて「完成時刻」の値を分単位にして記録する。容積床面積予測部14は、「完成時刻」の項目に値がある場合、当該ロットの「調整時刻」の項目に「完成時刻」の値を記録する。容積床面積予測部14は、「完成時刻」の項目に値がない場合、最新の「完成時刻」の値に基づいて完成予定時刻を調整した調整時刻を算出する。図5に示す予測容積床面積情報では、ロットNO.1~4のロットの「完成時刻」には値があり、ロットNO.5~10のロットの「完成時刻」には値がない。 The volume floor area prediction unit 14 includes the lot No. of the product Pa in the completion time information in the item “completion time”. Record the value of “Completion Time” from 1 to 10. Although the value of “completion time” of the completion time information is in units of seconds, the volume floor area prediction unit 14 records the value of “completion time” in units of minutes in accordance with the item “scheduled completion time”. When the item of “completion time” has a value, the volume floor area prediction unit 14 records the value of “completion time” in the item “adjustment time” of the lot. When there is no value in the item “completion time”, the volume floor area prediction unit 14 calculates an adjustment time obtained by adjusting the scheduled completion time based on the latest “completion time” value. In the predicted volume floor area information shown in FIG. There is a value in the “completion time” of lots 1 to 4, and lot No. There is no value for the “completion time” of lots 5 to 10.
 ここで、「完成時刻」の項目に値がない場合の調整時刻の算出方法について具体的に説明する。容積床面積予測部14は、まず、最新の「完成時刻」のロットに着目して、進捗の遅れや前倒しを示す生産実績差を算出する。ここでは、最新の「完成時刻」は、13:59である。容積床面積予測部14は、当該ロットの「ロット着手予定時刻」から最新の「完成時刻」までの間に予め指定された休憩時間帯がある場合には、当該ロットの製造中に休憩時間をとったものとして、生産計画情報の製品Paの「休憩時間」の値を実績休憩時間とする。容積床面積予測部14は、「ロット着手予定時刻」から最新の「完成時刻」までの間に予め指定された休憩時間帯がない場合には、当該ロットの製造中に休憩時間をとっていないものとして、実績休憩時間を0:00とする。ここでは、9:09~13:59の間に休憩時間帯があるので、実績休憩時間は0:45とする。容積床面積予測部14は、最新の「完成時刻」の値と「完成予定時刻」の値との差から実績休憩時間の値を減算して生産実績差を算出する。最新の「完成時刻」が「完成予定時刻」よりも早くなっている場合、生産実績差はマイナスの値になる。一方、最新の「完成時刻」が「完成予定時刻」よりも遅くなっている場合は、生産実績差はプラスの値になる。ここでは、最新の「完成時刻」が13:59、「完成予定時刻」が11:39、実績休憩時間が0:45であるので、生産実績差は、+1:35である。 Here, a method for calculating the adjustment time when the “completion time” item has no value will be described in detail. First, the volume floor area prediction unit 14 pays attention to the latest lot of the “completion time”, and calculates a production performance difference indicating a delay in progress or an advance. Here, the latest “completion time” is 13:59. When there is a pre-designated break time zone between the “lot start scheduled time” of the lot and the latest “completion time”, the volume floor area prediction unit 14 sets the break time during the production of the lot. As a result, the value of the “break time” of the product Pa in the production plan information is set as the actual break time. If there is no pre-designated break time zone between the “scheduled start time of the lot” and the latest “complete time”, the volume floor area prediction unit 14 does not take a break time during the production of the lot. As a thing, the actual break time is set to 0:00. Here, since there is a break time zone from 9:09 to 13:59, the actual break time is set to 0:45. The volume floor area prediction unit 14 subtracts the value of the actual break time from the difference between the latest value of “completion time” and the value of “scheduled completion time” to calculate the production result difference. When the latest “completion time” is earlier than the “scheduled completion time”, the production performance difference is a negative value. On the other hand, when the latest “completion time” is later than the “scheduled completion time”, the production performance difference is a positive value. Here, since the latest “completion time” is 13:59, the “scheduled completion time” is 11:39, and the actual break time is 0:45, the production performance difference is +1: 35.
 容積床面積予測部14は、「完成時刻」の項目に値がない各ロットについて、「完成予定時刻」に生産実績差を加算した時刻を算出する。「ロット着手予定時刻」から「完成予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がある場合には、当該ロットの製造中に休憩時間をとるものとして、「完成予定時刻」に生産実績差を加算した時刻に、生産計画情報の製品Paの「休憩時間」の値をさらに加算して調整時刻を算出する。「ロット着手予定時刻」から「完成予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がない場合には、当該ロットの製造中に休憩時間をとらないものとして、「完成予定時刻」に生産実績差を加算した時刻を調整時刻とする。例えば、図5に示すロットNO.5のロットの場合、「完成予定時刻」11:42:00に生産実績差+1:35を加算すると、13:17になる。9:12~13:17の間に休憩時間帯があるので、容積床面積予測部14は、13:17に休憩時間0:45を加算した14:02をロットNO.5のロットの調整時刻とする。容積床面積予測部14は、算出した各ロットの調整時刻を「調整時刻」の項目に記録する。 The volume floor area prediction unit 14 calculates a time obtained by adding the production result difference to the “scheduled completion time” for each lot having no value in the “completion time” item. If there is a pre-designated break time zone between the “lot start scheduled time” and the “scheduled completion time” plus the production performance difference, the break time will be taken during the production of the lot. The adjustment time is calculated by further adding the value of the “break time” of the product Pa in the production plan information to the time obtained by adding the production result difference to the “scheduled completion time”. If there is no pre-designated break time between the "lot start scheduled time" and the "scheduled completion time" plus the production difference, it is assumed that no break time will be taken during the production of the lot. The time obtained by adding the production result difference to the “scheduled completion time” is set as the adjustment time. For example, the lot number shown in FIG. In the case of the lot of 5, when the production result difference + 1: 35 is added to the “scheduled completion time” 11:42:00, it becomes 13:17. Since there is a break time zone between 9:12 and 13:17, the volume floor area prediction unit 14 adds 14:02 obtained by adding the break time 0:45 to 13:17 as the lot number. The lot adjustment time of 5 is assumed. The volume floor area prediction unit 14 records the calculated adjustment time of each lot in the item “adjustment time”.
 容積床面積予測部14は、1ロット製造されるごとに「容積」の値を加算して、予測容積を算出する。容積床面積予測部14は、算出した予測容積を「予測容積」の項目に記録する。製品Paは「段積み可能数」が2であるので、容積床面積予測部14は、2ロット製造されるごとに「床面積」の値を加算して、予測床面積を算出する。容積床面積予測部14は、算出した予測床面積を「予測床面積」の項目に記録する。「予測容積」の項目は、「調整時刻」の時点で完成済の製品Paの予測容積を示しており、「予測床面積」の項目は、「調整時刻」の時点で完成済の製品Paの予測床面積を示している。図5に示す予測容積床面積情報では、例えば、製品PaのNo.1~No.10のロットをすべて生産した時点14:17の予測容積は9.600mであって、予測床面積は4.000mである。 The volume floor area prediction unit 14 calculates the predicted volume by adding the value of “volume” every time one lot is manufactured. The volume floor area prediction unit 14 records the calculated predicted volume in the item “predicted volume”. Since the product Pa has a “number of stackable numbers” of 2, the volume floor area prediction unit 14 calculates the predicted floor area by adding the value of “floor area” every time two lots are manufactured. The volume floor area prediction unit 14 records the calculated predicted floor area in the item “predicted floor area”. The “predicted volume” item indicates the predicted volume of the finished product Pa at the time of “adjustment time”, and the “predicted floor area” item indicates the completed product Pa at the time of “adjustment time”. The estimated floor area is shown. In the predicted volume floor area information shown in FIG. 1-No. At the time point 14:17 when all 10 lots were produced, the predicted volume is 9.600 m 3 and the predicted floor area is 4.000 m 2 .
 容積床面積予測部14は、生産計画情報において製品Paと同じ製造ラインL1で製造される製品Pbの「着手予定時刻」から「着手予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がない場合には、製品Pbの「着手予定時刻」に生産実績差を加算する。一方、製品Pbの「着手予定時刻」から「着手予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がある場合には、製品Pbの「着手予定時刻」に生産実績差および決められた休憩時間の値を加算する。容積床面積予測部14は、この処理を、製品Paと同じ製造ラインL1で製造される製品Pcおよび製品Pdについても行い、生産計画情報を更新する。 The volume floor area prediction unit 14 in advance between the “planned start time” of the product Pb manufactured on the same production line L1 as the product Pa in the production plan information and the time when the production result difference is added to the “scheduled start time”. If there is no designated break time zone, the production performance difference is added to the “scheduled start time” of the product Pb. On the other hand, if there is a pre-designated break time period between the “scheduled start time” of the product Pb and the time when the production result difference is added to the “scheduled start time”, the “scheduled start time” of the product Pb is set. Add the actual production difference and the value of the set break time. The volume floor area prediction unit 14 also performs this process for the product Pc and the product Pd manufactured on the same manufacturing line L1 as the product Pa, and updates the production plan information.
 図5では、理解を容易にするため、予測容積および予測床面積の計算に用いる「製品」、「ロットNO.」、「段積み可能数」、「容積」、「床面積」、「ロット着手予定時刻」、「休憩時間」、「完成予定時刻」および「完成時刻」の項目を含む予測容積床面積情報の例を示したが、予測容積床面積情報は、少なくとも「日付」、「調整時刻」、「予測容積」および「予測床面積」の項目を含んでいればよい。 In FIG. 5, in order to facilitate understanding, “product”, “lot No.”, “number of stackable numbers”, “volume”, “floor area”, “lot start” used for calculating the predicted volume and the predicted floor area. An example of predicted volume floor area information including items of “scheduled time”, “break time”, “scheduled completion time”, and “completion time” has been shown, but the predicted volume floor area information includes at least “date”, “adjustment time” ”,“ Predicted volume ”, and“ predicted floor area ”may be included.
 生産拠点で製造された製品を保管する倉庫には、保管可能な製品の容積の上限の値である設定容積と、保管可能な製品の床面積の上限の値である設定床面積とがある。容積床面積予測部14が算出する予測容積および予測床面積は、製品が製造されるごとに増加していき、それぞれ設定容積および設定床面積を超える可能性がある。 In a warehouse that stores products manufactured at a production site, there are a set volume that is the upper limit of the volume of products that can be stored and a set floor area that is the upper limit of the floor area of products that can be stored. The predicted volume and the predicted floor area calculated by the volume floor area prediction unit 14 increase each time a product is manufactured, and may exceed the set volume and the set floor area, respectively.
 図6を用いて、容積床面積予測部14が算出した予測容積が設定容積を超える状態について説明する。図6は、当日生産拠点で製造されるすべての製品の合計の予測容積の時間推移を示すグラフである。図6のグラフは、便宜上5分間隔で表示しているが、予測容積の計算は1分単位で行われる。図6のグラフでは、生産拠点の倉庫の設定容積は200mであって、予測容積は製品が製造されるごとに増加していき、10時の時点で予測容積が設定容積を超える。生産拠点で生産されるすべての製品の合計の予測床面積も同様に、設定床面積を超える可能性がある。実際には、生産拠点に輸送車両が到着し、倉庫から製品を搬出するので、輸送車両が到着するたびに倉庫にある製品の容積および床面積は搬出された分だけ減る。輸送車両の生産拠点への到着時刻は、発着時刻予測部15が予測する。 The state where the predicted volume calculated by the volume floor area prediction unit 14 exceeds the set volume will be described with reference to FIG. FIG. 6 is a graph showing the time transition of the total predicted volume of all products manufactured at the production site on the day. The graph of FIG. 6 is displayed at intervals of 5 minutes for convenience, but the calculation of the predicted volume is performed in units of 1 minute. In the graph of FIG. 6, the set volume of the production base warehouse is 200 m 3 , and the predicted volume increases every time the product is manufactured, and the predicted volume exceeds the set volume at 10:00. Similarly, the total estimated floor area of all products produced at the production site may exceed the set floor area. Actually, since the transportation vehicle arrives at the production base and carries out the product from the warehouse, the volume and floor area of the product in the warehouse are reduced by the amount carried out each time the transportation vehicle arrives. The arrival / departure time prediction unit 15 predicts the arrival time of the transport vehicle at the production site.
 発着時刻予測部15は、輸送関連記憶部13が記憶する情報を用いて輸送車両の生産拠点への到着時刻を予測する。そこで、まず輸送関連記憶部13が記憶する情報について説明する。図1に戻り、輸送関連記憶部13には、通信部11によって記憶された車両状態情報および緯度経度情報に加え、輸送車両の拠点間の運行計画を示す運行計画情報と、拠点の所在地を示す拠点情報と、輸送車両の積載可能量を示す積載量情報とが記憶されている。運行計画情報、拠点情報および積載量情報は、予め記憶されていてもよいし、ユーザが入力する構成にしてもよいし、外部のサーバから取得する構成にしてもよい。輸送関連記憶部13は、本発明における第2記憶部の例である。 The arrival / departure time prediction unit 15 predicts the arrival time of the transport vehicle at the production base using information stored in the transport-related storage unit 13. First, the information stored in the transport related storage unit 13 will be described. Returning to FIG. 1, in addition to the vehicle state information and latitude / longitude information stored by the communication unit 11, the transport-related storage unit 13 indicates operation plan information indicating an operation plan between bases of the transport vehicle and the location of the base. The base information and the load amount information indicating the loadable amount of the transport vehicle are stored. The operation plan information, the base information, and the load amount information may be stored in advance, may be configured to be input by a user, or may be configured to be acquired from an external server. The transport-related storage unit 13 is an example of a second storage unit in the present invention.
 以下、図7~図10を参照して、輸送関連記憶部13が記憶する運行計画情報、拠点情報、車両状態情報および緯度経度情報の順に詳しく説明する。まず、図7を用いて、運行計画情報について説明する。図7に示す運行計画情報は、製品を輸送する日付を示す「日付」と、輸送車両の名称を示す「輸送車両」と、輸送車両の目的地の拠点を示す「拠点」と、輸送車両の拠点での状態を示す「状態」と、拠点への到着予定時刻を示す「到着予定時刻」と、拠点からの出発予定時刻を示す「出発予定時刻」との項目を有する。図7に示す2018/03/01の運行計画では、例えば、トラックT1は9:00に工場に到着し、作業者が作業を行った後、9:20に外部倉庫に向けて出発する予定である。 Hereinafter, the operation plan information, base information, vehicle state information, and latitude / longitude information stored in the transport-related storage unit 13 will be described in detail in order with reference to FIGS. First, operation plan information is demonstrated using FIG. The operation plan information shown in FIG. 7 includes a “date” indicating a date for transporting the product, a “transportation vehicle” indicating the name of the transport vehicle, a “base” indicating the destination base of the transport vehicle, It has items of “state” indicating the state at the base, “scheduled arrival time” indicating the scheduled arrival time at the base, and “scheduled departure time” indicating the scheduled departure time from the base. In the operation plan of 2018/03/01 shown in FIG. 7, for example, the truck T1 arrives at the factory at 9:00, and after the worker performs work, the truck T1 is scheduled to leave for the external warehouse at 9:20. is there.
 輸送車両は、生産拠点である工場と他の拠点との間を移動して製品を輸送する。「状態」の項目は、車載装置3に入力される輸送車両の状態のうち、作業および休憩に対応している。「輸送車両」の項目は、輸送車両の名称に限らず、輸送車両を識別する情報であればよい。「拠点」の項目は、拠点の名称に限らず、拠点を識別する情報であればよい。図7に図示された範囲では、トラックT1の運行計画の一部が表示されているが、運行計画情報には、日別のすべての輸送車両の運行計画が記録されている。 Transportation vehicles move between factories that are production bases and other bases to transport products. The item “state” corresponds to work and break among the states of the transport vehicle input to the in-vehicle device 3. The item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle. The item “base” is not limited to the name of the base, but may be information identifying the base. In the range illustrated in FIG. 7, a part of the operation plan for the truck T <b> 1 is displayed. However, the operation plan information for all transport vehicles by day is recorded in the operation plan information.
 続いて、図8を用いて、拠点情報について説明する。図8に示す拠点情報は、拠点の名称を示す「拠点」と、拠点の所在地の最小緯度を示す「最小緯度」と、拠点の所在地の最大緯度を示す「最大緯度」と、拠点の所在地の最小経度を示す「最小経度」と、拠点の所在地の最大経度を示す「最大経度」と、拠点の倉庫の設定容積を示す「設定容積」と、拠点の倉庫の設定床面積を示す「設定床面積」と、拠点が有するバースの数を示す「バース数」との項目を有する。図8に示す拠点情報では、例えば、工場の所在地の最小緯度は34.686727、最大緯度は34.688591、最小経度は135.524743、最大経度は135.527078である。また、工場の設定容積は200m、設定床面積は80mである。さらに、工場は、2つのバースを有する。本実施の形態では、工場にのみ製品を保管する倉庫があるものとする。拠点間の移動経路には自動車専用道路である高速道路Xおよび高速道路Yが存在する。「拠点」の項目は、拠点の名称に限らず、拠点を識別する情報であればよい。また、拠点が有するバースの数を示す情報、および、拠点間の移動経路に存在する自動車専用道路を示す情報は、拠点情報に含まれてもよいし、拠点情報とは別に記憶してもよい。 Next, the base information will be described with reference to FIG. The base information shown in FIG. 8 includes “base” indicating the name of the base, “minimum latitude” indicating the minimum latitude of the base location, “maximum latitude” indicating the maximum latitude of the base location, and the location of the base. “Minimum longitude” indicating the minimum longitude, “Maximum longitude” indicating the maximum longitude of the location of the base, “Set volume” indicating the set volume of the base warehouse, and “Set floor” indicating the set floor area of the base warehouse There are items of “Area” and “Number of berths” indicating the number of berths possessed by the base. In the base information shown in FIG. 8, for example, the minimum latitude of the factory location is 34.686727, the maximum latitude is 34.6888591, the minimum longitude is 135.524743, and the maximum longitude is 135.527078. Moreover, the set volume of the factory is 200 m 3 and the set floor area is 80 m 2 . In addition, the factory has two berths. In this embodiment, it is assumed that there is a warehouse that stores products only in the factory. There are an expressway X and an expressway Y, which are roads dedicated to automobiles, in the movement route between the bases. The item “base” is not limited to the name of the base, but may be information identifying the base. Further, the information indicating the number of berths possessed by the bases and the information indicating the automobile exclusive road existing on the movement route between the bases may be included in the base information or may be stored separately from the base information. .
 続いて、図9を用いて、車両状態情報について説明する。図9に示す車両状態情報は、輸送車両の名称を示す「輸送車両」と、当日の日付を示す「日付」と、状態が入力された時刻を示す「時刻」と、入力された輸送車両の状態を示す「状態」との項目を有する。「輸送車両」の項目は、輸送車両の名称に限らず、輸送車両を識別する情報であればよい。図9は、当日にトラックT1の車載装置3から取得した車両状態情報の例を示している。図9に示す車両状態情報では、例えば、トラックT1は、8:50:23から作業者が作業を開始し、9:10:55に次の拠点へ出発している。輸送関連記憶部13にはすべての輸送車両の車両状態情報が記憶される。 Subsequently, the vehicle state information will be described with reference to FIG. The vehicle state information shown in FIG. 9 includes “transport vehicle” indicating the name of the transport vehicle, “date” indicating the date of the day, “time” indicating the time when the state is input, and the input of the transport vehicle. It has an item of “state” indicating the state. The item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle. FIG. 9 shows an example of the vehicle state information acquired from the in-vehicle device 3 of the truck T1 on that day. In the vehicle state information shown in FIG. 9, for example, in the truck T1, the worker starts work from 8:50:23 and departs to the next base at 9:10:55. The transport-related storage unit 13 stores vehicle state information for all transport vehicles.
 続いて、図10を用いて、緯度経度情報について説明する。図10に示す緯度経度情報は、輸送車両の名称を示す「輸送車両」と、当日の日付を示す「日付」と、輸送車両の現在位置の緯度経度が計測された時刻を示す「時刻」と、計測された緯度を示す「緯度」と、計測された経度を示す「経度」との項目を有する。「輸送車両」の項目は、輸送車両の名称に限らず、輸送車両を識別する情報であればよい。図10の例では、当日にトラックT1の車載装置3から取得した緯度経度情報を示している。例えば、トラックT1は、8:40:00の時点で、緯度34.2545、経度135.2353の位置にいる。輸送関連記憶部13にはすべての輸送車両の緯度経度情報が記憶される。積載量情報については後ほど説明する。 Subsequently, latitude and longitude information will be described with reference to FIG. The latitude / longitude information shown in FIG. 10 includes “transport vehicle” indicating the name of the transport vehicle, “date” indicating the date of the day, and “time” indicating the time when the latitude and longitude of the current position of the transport vehicle are measured. , It has items of “latitude” indicating the measured latitude and “longitude” indicating the measured longitude. The item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle. In the example of FIG. 10, the latitude / longitude information acquired from the vehicle-mounted device 3 of the truck T1 on the day is shown. For example, the track T1 is at a position of latitude 34.2545 and longitude 135.2353 at 8:40:00. The transport-related storage unit 13 stores latitude / longitude information of all transport vehicles. The load amount information will be described later.
 図1に戻り、発着時刻予測部15は、まず、緯度経度情報に基づいて、生産拠点に到着した輸送車両(以下、対象輸送車両という)があるか否かを判定する。発着時刻予測部15は、対象輸送車両があると判定すると、対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたか否かを判定する。対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたと判定すると、発着時刻予測部15は、過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、同じ拠点で対象輸送車両と同じ輸送車両が同じ状態「作業」であった場合の平均作業時間を算出する。以下、輸送関連記憶部13に記録された対象輸送車両の「作業」を示す車両状態情報が示す時刻を状態開始時刻という。発着時刻予測部15は、状態開始時刻に算出した平均作業時間を加算して、状態終了予定時刻を算出する。生産拠点は、荷積拠点の例である。 Returning to FIG. 1, the arrival / departure time prediction unit 15 first determines whether there is a transport vehicle (hereinafter referred to as a target transport vehicle) that has arrived at the production site based on the latitude and longitude information. When determining that there is a target transport vehicle, the departure / arrival time prediction unit 15 determines whether or not vehicle state information indicating “work” of the target transport vehicle is recorded in the transport-related storage unit 13. When it is determined that the vehicle state information indicating the “work” of the target transport vehicle is recorded in the transport-related storage unit 13, the arrival / departure time prediction unit 15 is based on the past vehicle state information, the past latitude / longitude information, and the base information. An average work time is calculated when the same transport vehicle as the target transport vehicle at the same base is in the same state “work”. Hereinafter, the time indicated by the vehicle state information indicating the “work” of the target transport vehicle recorded in the transport related storage unit 13 is referred to as a state start time. The arrival / departure time prediction unit 15 adds the average work time calculated to the state start time to calculate the state end scheduled time. A production site is an example of a loading site.
 発着時刻予測部15は、算出した状態終了予定時刻を分単位にした時刻を、対象輸送車両の生産拠点からの出発時刻と予測する。以下、発着時刻予測部15が予測した出発時刻を予測出発時刻という。発着時刻予測部15は、対象輸送車両の過去の車両状態情報、過去の緯度経度情報、運行計画情報および拠点情報に基づいて、生産拠点から次の拠点への平均移動時間を算出する。発着時刻予測部15は、状態終了予定時刻に算出した平均移動時間を加算して分単位にした時刻を、対象輸送車両の次の拠点への到着時刻と予測する。以下、発着時刻予測部15が予測した到着時刻を予測到着時刻という。なお、発着時刻予測部15が参照する過去の車両状態情報および過去の緯度経度は、例えば過去20日分、過去1年分といったように期間を限定してもよい。また、過去の車両状態情報または過去の緯度経度情報がない場合には、予め設定された初期値を用いてもよい。 The departure / arrival time prediction unit 15 predicts a time obtained by calculating the estimated state end time in minutes as a departure time from the production base of the target transport vehicle. Hereinafter, the departure time predicted by the arrival / departure time prediction unit 15 is referred to as a predicted departure time. The arrival / departure time prediction unit 15 calculates the average travel time from the production base to the next base based on the past vehicle state information, the past latitude / longitude information, the operation plan information, and the base information of the target transport vehicle. The arrival / departure time prediction unit 15 predicts a time obtained by adding the average travel time calculated to the scheduled state end time in minutes to the arrival time of the target transport vehicle at the next base. Hereinafter, the arrival time predicted by the arrival / departure time prediction unit 15 is referred to as a predicted arrival time. The past vehicle state information and the past latitude / longitude referred to by the arrival / departure time prediction unit 15 may be limited in duration, for example, for the past 20 days and for the past one year. In addition, when there is no past vehicle state information or past latitude / longitude information, a preset initial value may be used.
 次に、発着時刻予測部15は、運行計画情報の該当する運行計画における対象輸送車両の生産拠点への「到着予定時刻」を、対象輸送車両が生産拠点に到着したことを示す緯度経度情報の時刻にする。該当する運行計画は、車両状態情報および緯度経度情報を参照して特定する。発着時刻予測部15は、該当する運行計画における対象輸送車両の生産拠点からの「出発予定時刻」を、算出した対象輸送車両の到着した生産拠点からの予測出発時刻にする。発着時刻予測部15は、該当する運行計画における対象輸送車両の次の拠点への「到着予定時刻」を、算出した次の拠点への予測到着時刻にする。 Next, the arrival / departure time prediction unit 15 indicates the “estimated arrival time” of the target transport vehicle at the production base in the operation plan corresponding to the operation plan information, in the latitude and longitude information indicating that the target transport vehicle has arrived at the production base. Set the time. The corresponding operation plan is specified with reference to vehicle state information and latitude / longitude information. The arrival / departure time prediction unit 15 sets the estimated departure time from the production base of the target transport vehicle in the corresponding operation plan as the predicted departure time from the production base where the target transport vehicle arrived. The arrival / departure time prediction unit 15 sets the estimated arrival time to the next base of the target transport vehicle in the corresponding operation plan as the calculated predicted arrival time to the next base.
 発着時刻予測部15は、対象輸送車両の次の拠点への予測到着時刻と該当する運行計画における対象輸送車両の次の拠点への元の「到着予定時刻」との差である輸送実績差を算出する。発着時刻予測部15は、次の拠点の「出発予定時刻」の項目以降の運行計画の「到着予定時刻」および「出発予定時刻」を、それぞれ「到着予定時刻」および「出発予定時刻」の元の時刻に輸送実績差を加算した時刻にして、運行計画情報を更新する。発着時刻予測部15は、本発明における発着時刻予測部の例である。 The arrival / departure time prediction unit 15 calculates a difference in transportation performance, which is a difference between the predicted arrival time of the target transport vehicle at the next base and the original “estimated arrival time” at the next base of the target transport vehicle in the corresponding operation plan. calculate. The arrival / departure time predicting unit 15 uses the “estimated arrival time” and “scheduled departure time” of the operation plan after the “scheduled departure time” item of the next base, respectively, based on the “scheduled arrival time” and “scheduled departure time”. The operation plan information is updated to the time obtained by adding the difference in transportation results to the time. The departure / arrival time prediction unit 15 is an example of a departure / arrival time prediction unit in the present invention.
 ここで、図11および図12を用いて、発着時刻予測部15が実行する処理について詳しく説明する。図11の例では、当日の8:50:00にトラックT1が生産拠点である工場に到着している。図7に示す運行計画情報を参照するとトラックT1の次の拠点は外部倉庫である。図11に戻り、発着時刻予測部15は、トラックT1が工場に到着したと判定すると、トラックT1の「作業」を示す車両状態情報が輸送関連記憶部13に記録されるのを待機する。 Here, the process executed by the arrival / departure time prediction unit 15 will be described in detail with reference to FIGS. 11 and 12. In the example of FIG. 11, the truck T1 arrives at the factory that is the production base at 8:50:00 on that day. Referring to the operation plan information shown in FIG. 7, the next base of the truck T1 is an external warehouse. Returning to FIG. 11, when the departure / arrival time prediction unit 15 determines that the truck T1 has arrived at the factory, the departure / arrival time prediction unit 15 waits for the vehicle state information indicating the “work” of the truck T1 to be recorded in the transport-related storage unit 13.
 発着時刻予測部15は、トラックT1の「作業」を示す車両状態情報が輸送関連記憶部13に記録されると、トラックT1の「作業」を示す車両状態情報が示す時刻8:50:23を状態開始時刻とする。発着時刻予測部15は、輸送関連記憶部13に記憶された過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、工場でトラックT1の状態が「作業」であった場合の平均作業時間を算出し、状態開始時刻に加算して、状態終了予定時刻9:10:57を算出する。発着時刻予測部15は、状態終了予定時刻を分単位にした9:10を工場からの予測出発時刻とする。発着時刻予測部15は、輸送関連記憶部13に記憶された過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、工場から外部倉庫への平均移動時間を算出し、状態終了予定時刻9:10:57に加算して、分単位にした外部倉庫への予測到着時刻10:00を算出する。 When the vehicle state information indicating the “work” of the truck T1 is recorded in the transport-related storage unit 13, the departure / arrival time prediction unit 15 sets the time 8:50:23 indicated by the vehicle state information indicating the “work” of the truck T1. State start time. The arrival / departure time prediction unit 15 calculates the average when the state of the truck T1 is “work” in the factory based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13. The work time is calculated and added to the state start time to calculate the state end scheduled time 9:10:57. The arrival / departure time prediction unit 15 sets 9:10, which is the estimated state end time in minutes, as the predicted departure time from the factory. The arrival / departure time prediction unit 15 calculates the average travel time from the factory to the external warehouse based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13, and is scheduled to end the state. Add to the time 9:10:57 to calculate the predicted arrival time 10:00 to the external warehouse in minutes.
 図12は、図11の例で発着時刻予測部15が算出した対象輸送車両の予測出発時刻および予測到着時刻を用いて、図7に示す運行計画情報を更新した例を示している。図12では、トラックT1が工場を目的地とする最初の運行計画が該当する運行計画である。まず、発着時刻予測部15は、運行計画情報の該当する運行計画の「到着予定時刻」の項目に、工場に到着したことを示す緯度経度情報が示す時刻8:50を記録する。図12の例では、実際の到着時刻を括弧書きで表示している。発着時刻予測部15は、該当する運行計画の「出発予定時刻」の項目に、算出した予測出発時刻9:10を記録し、次の拠点である外部倉庫の「到着予定時刻」の欄に、算出した予測到着時刻10:00を記録する。 FIG. 12 shows an example in which the operation plan information shown in FIG. 7 is updated using the predicted departure time and predicted arrival time of the target transport vehicle calculated by the arrival / departure time prediction unit 15 in the example of FIG. In FIG. 12, the first operation plan for which the truck T1 is the factory is the corresponding operation plan. First, the arrival / departure time prediction unit 15 records the time 8:50 indicated by the latitude / longitude information indicating arrival at the factory in the item “estimated arrival time” of the corresponding operation plan in the operation plan information. In the example of FIG. 12, the actual arrival time is displayed in parentheses. The arrival / departure time prediction unit 15 records the calculated predicted departure time 9:10 in the item “scheduled departure time” of the corresponding operation plan, and in the “scheduled arrival time” column of the external warehouse as the next base, The calculated predicted arrival time 10:00 is recorded.
 発着時刻予測部15は、次の拠点である外部倉庫の予測到着時刻10:00と「到着予定時刻」の元の時刻10:10との差である輸送実績差-10分を算出する。次の拠点である外部倉庫の「出発予定時刻」の項目以降の運行計画の「到着予定時刻」および「出発予定時刻」の項目に、それぞれ「到着予定時刻」および「出発予定時刻」の時刻に輸送実績差-10分を加算した時刻を記録して、運行計画情報を更新する。発着時刻予測部15が運行計画情報を更新すると、バース使用状況予測部16が各拠点のバースの使用状況を予測する。 The arrival / departure time prediction unit 15 calculates a transport result difference—10 minutes, which is the difference between the predicted arrival time 10:00 of the external warehouse as the next base and the original time 10:10 of the “estimated arrival time”. In the “Scheduled Arrival Time” and “Scheduled Departure Time” items of the operation plan after the “Scheduled Departure Time” item of the next warehouse, the “Scheduled Arrival Time” and “Scheduled Departure Time” respectively. Record the time of transportation result difference minus 10 minutes and update the operation plan information. When the arrival / departure time prediction unit 15 updates the operation plan information, the berth use state prediction unit 16 predicts the berth use state of each base.
 図1に戻り、バース使用状況予測部16は、発着時刻予測部15が更新した運行計画情報を参照し、各拠点に到着する輸送車両の数とバースを使用する時間帯とを算出する。バース使用状況予測部16は、到着する輸送車両の数がバースの数を超えるバースバッティングが発生するか否かを判定する。バースバッティングが発生しない場合、バース使用状況予測部16は、各拠点に到着する輸送車両の数とバースを使用する時間帯とを示すバース使用状況情報を生成する。 Returning to FIG. 1, the berth usage status prediction unit 16 refers to the operation plan information updated by the arrival / departure time prediction unit 15 and calculates the number of transport vehicles arriving at each base and the time zone in which the berth is used. The berth use state prediction unit 16 determines whether or not berth batting occurs in which the number of arriving transport vehicles exceeds the number of berths. When berth batting does not occur, the berth usage status prediction unit 16 generates berth usage status information indicating the number of transport vehicles arriving at each base and the time zone in which the berth is used.
 バースバッティングが発生する場合、バース使用状況予測部16は、発着時刻予測部15が更新した運行計画情報の、バースバッティングにより待機する輸送車両の到着予定時刻を、先着の輸送車両の出発予定時刻に変更し、待機する輸送車両の出発予定時刻を到着予定時刻に合わせて変更する処理を、すべてのバースバッティングが解消するまで繰り返す。すべてのバースバッティングが解消すると、バース使用状況予測部16は、拠点に到着する輸送車両の数とバースを使用する時間帯とを示すバース使用状況情報を生成する。バース使用状況予測部16は、生成したバース使用状況情報を利用道路判定部17に送る。バース使用状況予測部16は、本発明におけるバース使用状況予測部の例である。 When berth batting occurs, the berth use state prediction unit 16 sets the estimated arrival time of the transport vehicle waiting by berth batting in the operation plan information updated by the departure / arrival time prediction unit 15 as the scheduled departure time of the first transport vehicle. The process of changing and changing the scheduled departure time of the waiting transport vehicle in accordance with the estimated arrival time is repeated until all berth batting is resolved. When all the berth batting is eliminated, the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used. The berth usage status prediction unit 16 sends the generated berth usage status information to the usage road determination unit 17. The berth usage status prediction unit 16 is an example of a berth usage status prediction unit in the present invention.
 ここで、図13Aおよび図13Bを用いて、バース使用状況予測部16が各拠点のバースの使用状況を予測する処理について詳しく説明する。図13Aおよび図13Bには、バース使用状況予測部16が生成した当日のバース使用状況情報の例を示している。図13Aは、バースバッティングが発生しているバース使用状況情報の例である。図13Bは、バースバッティングを解消したバース使用状況情報の例である。図13Aおよび図13Bの例では、便宜上5分間隔で表示しているが、バースの使用状況の計算は1分単位で行われる。 Here, with reference to FIG. 13A and FIG. 13B, a process in which the berth use state prediction unit 16 predicts the berth use state of each base will be described in detail. 13A and 13B show examples of berth usage status information for the day generated by the berth usage status prediction unit 16. FIG. 13A is an example of berth usage status information in which berth batting has occurred. FIG. 13B is an example of berth use status information in which berth batting is eliminated. In the example of FIG. 13A and FIG. 13B, the display is performed at intervals of 5 minutes for convenience, but the berth usage status is calculated in units of 1 minute.
 まず、バース使用状況予測部16は、バース使用状況情報の「拠点」および「バース数」の項目にそれぞれ、拠点情報(図8参照)の「拠点」および「バース数」の項目の値を記録する。次に、バース使用状況予測部16は、発着時刻予測部15が更新した運行計画情報(図12参照)を参照し、各拠点に到着した輸送車両がバースを使用する時間帯、つまり、輸送車両の拠点への到着予定時刻から拠点からの出発予定時刻までの時間帯の項目に「1」を加算する。図13Aに示すように、10時20分~35分の15分間は、工場のバース数「2」を越えた3台の輸送車両が到着するバースバッティングが発生している。 First, the berth use state prediction unit 16 records the values of the “base” and “berth number” items of the base information (see FIG. 8) in the “base” and “berth number” items of the berth use state information, respectively. To do. Next, the berth use state prediction unit 16 refers to the operation plan information updated by the arrival / departure time prediction unit 15 (see FIG. 12), and the time zone in which the transport vehicle arriving at each base uses the berth, that is, the transport vehicle. “1” is added to the item of the time zone from the scheduled arrival time to the base of the vehicle to the scheduled departure time from the base. As shown in FIG. 13A, berth batting occurs in which three transport vehicles exceeding the number of berths “2” in the factory arrive for 10 minutes 20 minutes to 15 minutes 35 minutes.
 バースバッティングが発生すると、バース使用状況予測部16は、運行情報の、バースバッティングにより待機する輸送車両の到着予定時刻を先着の輸送車両の出発予定時刻に変更し、待機する輸送車両の出発予定時刻を到着予定時刻に合わせて変更する処理を、すべてのバースバッティングが解消するまで、つまり待機する輸送車両がなくなるまで繰り返し、運行情報を更新する。バース使用状況予測部16は、図13Bに示すバースバッティングが解消したバース使用状況情報を生成し、利用道路判定部17に送る。 When the berth batting occurs, the berth use state prediction unit 16 changes the scheduled arrival time of the transport vehicle waiting by the berth batting in the operation information to the scheduled departure time of the first transport vehicle, and the scheduled departure time of the transport vehicle waiting. Is updated in accordance with the estimated arrival time until all berth batting is resolved, that is, until there is no transport vehicle waiting, and the operation information is updated. The berth usage status prediction unit 16 generates berth usage status information in which the berth batting shown in FIG.
 バース使用状況予測部16は、図13Aに示すような、バースバッティングが発生する時間帯を強調表示したバース使用状況情報を生成し、通信部11を介して輸送車両の車載装置3に送信してもよい。このとき、バースバッティングが発生する時間帯を強調表示したバース使用状況情報を各輸送車両に送信してもよいし、待機する輸送車両に送信してもよい。強調表示の方法は、図13Aの例のように、バースバッティングが発生する時間帯のセルの色を反転させる方法に限らず、太字にしてもよいし、文字色や背景色を変えてもよい。 The berth use state prediction unit 16 generates berth use state information that highlights a time zone in which berth batting occurs, as shown in FIG. 13A, and transmits the berth use state information to the in-vehicle device 3 of the transport vehicle via the communication unit 11. Also good. At this time, the berth use status information highlighting the time zone in which berth batting occurs may be transmitted to each transport vehicle or may be transmitted to the transport vehicle on standby. The highlighting method is not limited to the method of inverting the color of the cell in the time zone in which barbating occurs, as in the example of FIG. 13A, but may be bold, or the character color or background color may be changed. .
 図1に戻り、利用道路判定部17は、バース使用状況予測部16からバース使用状況情報を受け取ると、まず、運行計画情報および拠点情報を参照し、対象輸送車両が到着した生産拠点から次の拠点までの経路に自動車専用走路があるか否かを判定する。自動車専用走路がない場合には、利用道路判定部17は処理を終了する。自動車専用走路がある場合には、利用道路判定部17は、積載量情報および運行計画情報に基づいて、生産拠点に到着する輸送車両の積載可能量の範囲内で最大量になる生産拠点の倉庫にある製品の組み合わせの容積および床面積(以下、それぞれ搬出容積および搬出床面積という)を算出する。利用道路判定部17は、容積床面積予測部14から受け取った予測容積床面積情報の、生産拠点に輸送車両が到着する時刻の予測容積および予測床面積の値から、それぞれ搬出容積および搬出床面積の値を減算する。利用道路判定部17は、当日に生産拠点に到着するすべての輸送車両についてこの処理を行い、予測容積床面積情報を更新する。 Returning to FIG. 1, when the usage road determination unit 17 receives the berth usage status information from the berth usage status prediction unit 16, the usage road determination unit 17 first refers to the operation plan information and the base information, and starts from the production base where the target transport vehicle arrives. It is determined whether there is a dedicated road for automobiles on the route to the base. If there is no dedicated road for automobiles, the use road determination unit 17 ends the process. In the case where there is a dedicated road for automobiles, the use road determination unit 17 stores the warehouse of the production base that becomes the maximum amount within the range of the loadable capacity of the transportation vehicle that arrives at the production base based on the load capacity information and the operation plan information. The volume and floor area of the product combination (hereinafter referred to as the unloading volume and unloading floor area, respectively) are calculated. The use road determination unit 17 carries out the unloading volume and the unloading floor area from the predicted volume at the time when the transport vehicle arrives at the production base and the predicted floor area value of the predicted volume floor area information received from the volume floor area prediction unit 14, respectively. The value of is subtracted. The use road determination unit 17 performs this process for all transport vehicles that arrive at the production site on the same day, and updates the predicted volume floor area information.
 ここで、図14を用いて、輸送関連記憶部13が記憶する積載量情報について説明する。図14に示す積載量情報は、輸送車両の名称を示す「輸送車両」と、輸送車両の荷台の大きさを示す「幅」、「奥行き」および「高さ」である「荷台サイズ」との項目を有する。例えば、トラックT1の荷台の大きさは幅2000mm・奥行き6000mm・高さ2800mmである。ここでの高さは、荷台に屋根がある場合は床面から屋根までの高さ、荷台に屋根がない場合は、積載可能な床面からの高さの最大値を示す。「輸送車両」の項目は、輸送車両の名称に限らず、輸送車両を識別する情報であればよい。また、積載量情報は、荷台の大きさを示す情報に限らず、輸送車両の積載可能量を示す情報であればよい。 Here, the load amount information stored in the transport-related storage unit 13 will be described with reference to FIG. The loading amount information shown in FIG. 14 includes “transportation vehicle” indicating the name of the transport vehicle, and “loading platform size” indicating “width”, “depth”, and “height” indicating the size of the transport platform of the transport vehicle. Have items. For example, the size of the loading platform of the truck T1 is 2000 mm wide, 6000 mm deep, and 2800 mm high. The height here indicates the maximum height from the floor surface to the roof when the loading platform has a roof, and the maximum height from the loadable floor surface when the loading platform has no roof. The item “transport vehicle” is not limited to the name of the transport vehicle, but may be information identifying the transport vehicle. Further, the load amount information is not limited to information indicating the size of the loading platform, but may be information indicating the loadable amount of the transport vehicle.
 続いて、図15を用いて、利用道路判定部17が、予測容積床面積情報の、輸送車両が生産拠点に到着する時刻の予測容積から搬出容積を減算する処理について説明する。図15は、当日に生産拠点で製造するすべての製品の合計の予測容積の9時~12時の3時間の時間推移を示すグラフである。図15のグラフは、便宜上5分間隔で表示しているが、予測容積から搬出容積を減算する処理は1分単位で行われる。図15の例では、生産拠点の倉庫の設定容積は200mである。利用道路判定部17は、輸送車両の到着予定時刻から出発予定時刻の間に予測容積から搬出容積を減算している。これにより、9時~12時の予測容積は、設定容積を超えていない。利用道路判定部17は、予測床面積についても同様に、予測容積床面積情報の、輸送車両が生産拠点に到着する時刻の予測床面積から搬出床面積を減算する。 Next, a process in which the use road determination unit 17 subtracts the unloading volume from the predicted volume at the time when the transport vehicle arrives at the production base in the predicted volume floor area information will be described with reference to FIG. FIG. 15 is a graph showing a three-hour time transition from 9 o'clock to 12 o'clock of the total predicted volume of all products manufactured at the production site on that day. The graph of FIG. 15 is displayed at intervals of 5 minutes for convenience, but the process of subtracting the unloading volume from the predicted volume is performed in units of 1 minute. In the example of FIG. 15, the set volume of the production base warehouse is 200 m 3 . The use road determination unit 17 subtracts the unloading volume from the predicted volume between the scheduled arrival time and the scheduled departure time of the transport vehicle. As a result, the predicted volume from 9:00 to 12:00 does not exceed the set volume. Similarly, for the predicted floor area, the use road determination unit 17 subtracts the carry-out floor area from the predicted floor area at the time when the transport vehicle arrives at the production base in the predicted volume floor area information.
 図1に戻り、利用道路判定部17は、予測容積および予測床面積からそれぞれ搬出容積および搬出床面積を減算して予測容積床面積情報を更新する処理を行うと、更新した予測容積床面積情報に基づいて、対象輸送車両が到着した時刻以降の予測容積が設定容積を超えるタイミングまたは予測床面積が設定床面積を超えるタイミングがあるか否かを判定する。設定容積または設定床面積を超えるタイミングがない場合、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用しないと判定する。このとき、利用道路判定部17は、自動車専用道路を利用するべきでないと判定してもよい。判定設定容積または設定床面積を超えるタイミングがある場合、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用した場合の移動時間で次の拠点への予測到着時刻を計算し直す。利用道路判定部17は、自動車専用道路を利用した場合の移動時間を予め保持していてもよいし、過去の車両状態情報および過去の緯度経度情報から算出してもよい。 Returning to FIG. 1, when the use road determination unit 17 performs the process of subtracting the unloading volume and the unloading floor area from the predicted volume and the predicted floor area, respectively, and updating the predicted volume floor area information, the updated predicted volume floor area information is updated. Based on the above, it is determined whether or not there is a timing at which the predicted volume after the time when the target transport vehicle arrives exceeds the set volume or a timing at which the predicted floor area exceeds the set floor area. When there is no timing exceeding the set volume or the set floor area, the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for movement to the next base. At this time, the use road determination unit 17 may determine that the automobile-only road should not be used. When there is a timing exceeding the determination set volume or the set floor area, the use road determination unit 17 predicts arrival at the next base in the travel time when the target transport vehicle uses the automobile road for moving to the next base. Recalculate the time. The use road determination unit 17 may hold in advance the travel time when the automobile-only road is used, or may calculate from past vehicle state information and past latitude / longitude information.
 利用道路判定部17は、バース使用状況予測部16から受け取ったバース使用状況情報を参照し、自動車専用道路を利用した場合の予測到着時刻に次の拠点に到着した場合、バースが空いているか否かを判定する。バースが空いていない場合、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用しないと判定する。バースが空いている場合、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用すると判定する。このとき、利用道路判定部17は、自動車専用道路を利用するべきと判定してもよい。利用道路判定部17は、自動車専用道路を利用するか否かの判定結果を示す判定結果情報を生成し、通信部11に送る。通信部11は、利用道路判定部17から受け取った判定結果情報を対象輸送車両の車載装置3に送信する。利用道路判定部17は、自動車専用道路を利用する判定の場合にのみ判定結果情報を対象輸送車両の車載装置3に送信することにしてもよい。利用道路判定部17は、本発明における利用道路判定部の例である。 The usage road determination unit 17 refers to the berth usage status information received from the berth usage status prediction unit 16 and determines whether or not the berth is free when the next arrival point is reached at the predicted arrival time when the automobile-only road is used. Determine whether. When the berth is not vacant, the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for moving to the next base. When the berth is vacant, the use road determination unit 17 determines that the target transport vehicle uses the automobile road for movement to the next base. At this time, the use road determination unit 17 may determine that an automobile-only road should be used. The use road determination unit 17 generates determination result information indicating a determination result of whether or not to use an automobile-only road, and sends the determination result information to the communication unit 11. The communication unit 11 transmits the determination result information received from the use road determination unit 17 to the in-vehicle device 3 of the target transport vehicle. The use road determination unit 17 may transmit the determination result information to the in-vehicle device 3 of the target transport vehicle only in the case of determination using an automobile exclusive road. The usage road determination unit 17 is an example of a usage road determination unit in the present invention.
 車載装置3の通信部33は、輸送管理装置1から判定結果情報を受信すると、表示部34に表示させる。ここで、表示部34に表示される判定結果情報の例を図16に示す。図16の判定結果情報では、対象輸送車両であるトラックT1に対し、次の拠点である外部倉庫への移動に自動車専用道路である高速道路を利用することが指示されている。 When the communication unit 33 of the in-vehicle device 3 receives the determination result information from the transportation management device 1, the communication unit 33 displays the information on the display unit 34. Here, an example of the determination result information displayed on the display unit 34 is shown in FIG. In the determination result information in FIG. 16, it is instructed to use the expressway that is an automobile-only road for the movement to the external warehouse that is the next base for the truck T1 that is the target transport vehicle.
 次に、輸送管理装置1のハードウェア構成について図17を用いて説明する。図17に示すように、輸送管理装置1は、一時記憶部101、記憶部102、計算部103、入力部104、外部出力部105および表示部106を備える。一時記憶部101、記憶部102、入力部104、外部出力部105および表示部106はいずれもBUSを介して計算部103に接続されている。 Next, the hardware configuration of the transportation management apparatus 1 will be described with reference to FIG. As illustrated in FIG. 17, the transportation management apparatus 1 includes a temporary storage unit 101, a storage unit 102, a calculation unit 103, an input unit 104, an external output unit 105, and a display unit 106. Temporary storage unit 101, storage unit 102, input unit 104, external output unit 105, and display unit 106 are all connected to calculation unit 103 via a BUS.
 計算部103は、例えばCPU(Central Processing Unit)である。計算部103は、記憶部102に記憶されている制御プログラムに従って、輸送管理装置1の通信部11、容積床面積予測部14、発着時刻予測部15、バース使用状況予測部16および利用道路判定部17の各処理を実行する。 The calculation unit 103 is, for example, a CPU (Central Processing Unit). The calculation unit 103 is a communication unit 11 of the transportation management apparatus 1, a volume floor area prediction unit 14, a departure / arrival time prediction unit 15, a berth use state prediction unit 16, and a use road determination unit according to a control program stored in the storage unit 102. Each process of 17 is performed.
 一時記憶部101は、例えばRAM(Random-Access Memory)である。一時記憶部101は、記憶部102に記憶されている制御プログラムをロードし、計算部103の作業領域として用いられる。 The temporary storage unit 101 is, for example, a RAM (Random-Access Memory). The temporary storage unit 101 loads a control program stored in the storage unit 102 and is used as a work area for the calculation unit 103.
 記憶部102は、フラッシュメモリ、ハードディスク、DVD-RAM(Digital Versatile Disc - Random Access Memory)、DVD-RW(Digital Versatile Disc - ReWritable)などの不揮発性メモリである。記憶部102は、輸送管理装置1の処理を計算部103に行わせるためのプログラムを予め記憶し、また、計算部103の指示に従って、このプログラムが記憶するデータを計算部103に供給し、計算部103から供給されたデータを記憶する。生産関連記憶部12および輸送関連記憶部13は、記憶部102に構成される。 The storage unit 102 is a nonvolatile memory such as a flash memory, a hard disk, a DVD-RAM (Digital Versatile Disc-Random Access Memory), and a DVD-RW (Digital Versatile Disc-Rewritable). The storage unit 102 stores in advance a program for causing the calculation unit 103 to perform processing of the transportation management apparatus 1, and supplies data stored in the program to the calculation unit 103 in accordance with an instruction from the calculation unit 103. Data supplied from the unit 103 is stored. The production-related storage unit 12 and the transport-related storage unit 13 are configured in the storage unit 102.
 入力部104は、キーボード、ポインティングデバイスなどの入力装置と、キーボード、ポインティングデバイスなどの入力装置をBUSに接続するインタフェース装置である。例えば、生産計画情報、製品情報、運行計画情報、拠点情報または積載量情報をユーザが入力する構成の場合、ユーザが輸送管理装置1に情報を入力すると、入力部104を介して、入力された情報が計算部103に供給される。 The input unit 104 is an interface device that connects an input device such as a keyboard and a pointing device and an input device such as a keyboard and a pointing device to the BUS. For example, in the case of a configuration in which the user inputs production plan information, product information, operation plan information, site information, or load capacity information, when the user inputs information to the transportation management device 1, the information is input via the input unit 104. Information is supplied to the calculation unit 103.
 外部出力部105は、ネットワークに接続する網終端装置または無線通信装置、およびそれらと接続するシリアルインタフェースまたはLAN(Local Area Network)インタフェースである。外部出力部105は、通信部11として機能する。 The external output unit 105 is a network termination device or wireless communication device connected to the network, and a serial interface or LAN (Local Area Network) interface connected to them. The external output unit 105 functions as the communication unit 11.
 表示部106は、CRT(Cathode Ray Tube)、LCD(Liquid Crystal Display)などの表示装置である。例えば、生産計画情報、製品情報、運行計画情報、拠点情報または積載量情報をユーザが入力する構成の場合、表示部106は、操作画面を表示する。 The display unit 106 is a display device such as a CRT (Cathode Ray Tube) or an LCD (Liquid Crystal Display). For example, in the case of a configuration in which the user inputs production plan information, product information, operation plan information, base information, or load capacity information, the display unit 106 displays an operation screen.
 図1に示す輸送管理装置1の通信部11、生産関連記憶部12、輸送関連記憶部13、容積床面積予測部14、発着時刻予測部15、バース使用状況予測部16および利用道路判定部17の処理は、制御プログラムが、一時記憶部101、計算部103、記憶部102、入力部104、外部出力部105および表示部106などを資源として用いて処理することによって実行する。 The communication unit 11, the production related storage unit 12, the transport related storage unit 13, the volume floor area prediction unit 14, the arrival / departure time prediction unit 15, the berth usage status prediction unit 16, and the usage road determination unit 17 of the transportation management apparatus 1 shown in FIG. This process is executed by the control program using the temporary storage unit 101, the calculation unit 103, the storage unit 102, the input unit 104, the external output unit 105, the display unit 106, and the like as resources.
 その他、上述のハードウェア構成やフローチャートは一例であり、任意に変更および修正が可能である。 In addition, the above-described hardware configuration and flowchart are examples, and can be arbitrarily changed and modified.
 計算部103、一時記憶部101、記憶部102、入力部104、外部出力部105、表示部106などの輸送管理装置1の処理を行う中心となる部分は、専用のシステムによらず、通常のコンピュータシステムを用いて実現可能である。例えば、上述の動作を実行するためのコンピュータプログラムを、フレキシブルディスク、CD-ROM(Compact Disc - Read Only Memory)、DVD-ROM(Digital Versatile Disc - Read Only Memory)などのコンピュータが読み取り可能な記録媒体に格納して配布し、当該コンピュータプログラムをコンピュータにインストールすることにより、上述の処理を実行する輸送管理装置1を構成してもよい。また、インターネットなどの通信ネットワーク上のサーバ装置が有する記憶装置に当該コンピュータプログラムを格納しておき、通常のコンピュータシステムがダウンロードなどすることで輸送管理装置1を構成してもよい。 The central part of processing of the transportation management device 1 such as the calculation unit 103, temporary storage unit 101, storage unit 102, input unit 104, external output unit 105, display unit 106, etc. It can be realized using a computer system. For example, a computer program for executing the above-described operation is a computer-readable recording medium such as a flexible disk, a CD-ROM (Compact Disc-Read-Only Memory), and a DVD-ROM (Digital Versatile Disc-read-Only Memory). The transportation management apparatus 1 that performs the above-described processing may be configured by storing and distributing the program and installing the computer program in the computer. Further, the transport management apparatus 1 may be configured by storing the computer program in a storage device included in a server device on a communication network such as the Internet and downloading the computer program by a normal computer system.
 また、輸送管理装置1の機能を、OS(Operating System)とアプリケーションプログラムの分担、またはOSとアプリケーションプログラムとの協働により実現する場合などには、アプリケーションプログラム部分のみを記録媒体や記憶装置に格納してもよい。 Further, when the functions of the transportation management device 1 are realized by sharing of an OS (Operating System) and an application program, or by cooperation between the OS and the application program, only the application program portion is stored in a recording medium or a storage device. May be.
 また、搬送波にコンピュータプログラムを重畳し、通信ネットワークを介して提供することも可能である。例えば、通信ネットワーク上の掲示板(BBS, Bulletin Board System)に上述のコンピュータプログラムを掲示し、通信ネットワークを介して上述のコンピュータプログラムを提供してもよい。そして、このコンピュータプログラムを起動し、OSの制御下で、他のアプリケーションプログラムと同様に実行することにより、上述の処理を実行できる構成してもよい。 It is also possible to superimpose a computer program on a carrier wave and provide it via a communication network. For example, the above-mentioned computer program may be posted on a bulletin board (BBS, “Bulletin” Board System) on the communication network, and the above-mentioned computer program may be provided via the communication network. The computer program may be started and executed in the same manner as other application programs under the control of the OS, so that the above-described processing may be executed.
 続いて、輸送管理装置1が実行する各処理の流れを説明する。まず、輸送管理装置1が実行する容積床面積予測処理について、図2~図5および図18を用いて説明する。図18に示す容積床面積予測処理は、輸送管理装置1の電源が投入されたことで開始する。輸送管理装置1の通信部11は、生産拠点端末2から、完成時刻情報を取得しない場合(ステップS11;NO)、ステップS11を繰り返して完成時刻情報の取得を待機する。通信部11は、生産拠点端末2から、完成時刻情報を取得した場合(ステップS11;YES)、通信部11は、取得した完成時刻情報を生産関連記憶部12に記憶する。 Subsequently, the flow of each process executed by the transport management device 1 will be described. First, the volume floor area prediction process executed by the transportation management apparatus 1 will be described with reference to FIGS. 2 to 5 and FIG. The volume floor area prediction process shown in FIG. 18 starts when the power of the transportation management apparatus 1 is turned on. If the communication unit 11 of the transportation management device 1 does not acquire completion time information from the production site terminal 2 (step S11; NO), the communication unit 11 repeats step S11 and waits for acquisition of completion time information. When the communication unit 11 acquires completion time information from the production site terminal 2 (step S11; YES), the communication unit 11 stores the acquired completion time information in the production-related storage unit 12.
 容積床面積予測部14は、完成時刻情報が生産関連記憶部12に記憶されると、当日の生産計画情報を参照し、完成時刻情報が示す製品の製造ロット数を算出する(ステップS12)。容積床面積予測部14は、各ロットにロットを識別する情報を付与する(ステップS13)。容積床面積予測部14は、製品情報に基づいて、完成時刻情報が示す製品の1ロットの容積および床面積を算出する(ステップS14)。 When the completion time information is stored in the production-related storage unit 12, the volume floor area prediction unit 14 refers to the production plan information on the day and calculates the number of production lots indicated by the completion time information (step S12). The volume floor area prediction unit 14 assigns information for identifying the lot to each lot (step S13). The volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product indicated by the completion time information based on the product information (step S14).
 ステップS11で、通信部11が図4に示す完成時刻情報を取得した場合、ステップS12で、容積床面積予測部14は、図3に示す生産計画情報の製品Paの「製造個数」の値を図2に示す製品情報の「ロット個数」の値で除算して、製品Paの製造ロット数を算出する。ここでは、10÷1=10個のロットを製造する。ステップS13で、容積床面積予測部14は、図5に示すように当日製造する製品Paの10個のロットに対し連番で1~10までの番号を付与する。ステップS14で、容積床面積予測部14は、図2に示す製品情報の製品Paの「1ロットサイズ」の値に基づいて、製品Paの1ロットの容積および床面積を算出する。ここでは、製品Paの1ロットの容積が0.960(m)、床面積が0.800(m)である。 When the communication unit 11 acquires the completion time information shown in FIG. 4 in step S11, the volume floor area prediction unit 14 sets the value of “Production quantity” of the product Pa in the production plan information shown in FIG. 3 in step S12. The number of production lots of the product Pa is calculated by dividing by the value of “lot number” of the product information shown in FIG. Here, 10 ÷ 1 = 10 lots are manufactured. In step S13, the volume floor area predicting unit 14 assigns serial numbers 1 to 10 to 10 lots of the product Pa manufactured on the day as shown in FIG. In step S14, the volume floor area prediction unit 14 calculates the volume and floor area of one lot of the product Pa based on the value of “1 lot size” of the product Pa in the product information shown in FIG. Here, the volume of one lot of product Pa is 0.960 (m 3 ) and the floor area is 0.800 (m 2 ).
 図18に戻り、容積床面積予測部14は、生産計画情報および製品情報に基づいて、当日の生産計画の完成時刻情報が示す製品の各ロットの完成予定時刻を算出する(ステップS15)。 18, the volume floor area prediction unit 14 calculates the scheduled completion time of each lot of the product indicated by the completion time information of the production plan on the day based on the production plan information and product information (step S15).
 ステップS14で、容積床面積予測部14が、製品Paの1ロットの容積および床面積を算出した場合、ステップS15で、容積床面積予測部14は、図3に示す生産計画情報の製品Paの「着手予定時刻」を最初のロットの着手予定時刻とし、図2に示す製品情報の製品Paの「サイクルタイム」の値を順に加えていった時刻を、各ロットの着手予定時刻として算出する。ここでは生産計画情報の製品Paの「着手予定時刻」が9:00:00、製品情報の製品Paの「サイクルタイム」の値が0:03:00であるので、ロットNO.1~10の着手予定時刻は、図5に示すように、9:00:00から順に0:03:00ずつ経過した時刻である。 When the volume floor area prediction unit 14 calculates the volume and floor area of one lot of product Pa in step S14, the volume floor area prediction unit 14 calculates the product Pa of the production plan information shown in FIG. 3 in step S15. The “scheduled start time” is set as the scheduled start time of the first lot, and the time when the “cycle time” value of the product Pa in the product information shown in FIG. 2 is sequentially added is calculated as the scheduled start time of each lot. Here, since the “planned start time” of the product Pa in the production plan information is 9:00 and the “cycle time” value of the product Pa in the product information is 0:00, lot No. As shown in FIG. 5, the scheduled start times 1 to 10 are times when 3: 00: 3: 00 have elapsed in order from 9:00:00.
 容積床面積予測部14は、各ロットの着手予定時刻から図2に示す製品情報の製品Paの「リードタイム」の値を加えた時刻までの間に、予め指定された休憩時間帯12:00~12:45があるか否かを判定する。容積床面積予測部14は、各ロットの着手予定時刻から「リードタイム」の値2:30:00を加えた時刻までの間に休憩時間帯12:00~12:45がないので、NO.1~10のロットを製造中の休憩時間はすべて0:00とする。容積床面積予測部14は、NO.1~10のロットの着手予定時刻に製品情報の製品Paの「リードタイム」の値を加えた時刻を、各ロットの完成予定時刻として算出する。 The volume floor area predicting unit 14 has a break time zone 12:00 designated in advance between the scheduled start time of each lot and the time when the “lead time” value of the product Pa of the product information shown in FIG. 2 is added. Determine if there is ~ 12: 45. Since there is no break time zone from 12:00 to 12:45 between the scheduled start time of each lot and the time when “lead time” of 2:30:00 is added, the volume floor area prediction unit 14 All break times during production of 1-10 lots shall be 0:00. The volume floor area predicting unit 14 determines whether the NO. A time obtained by adding the value of “lead time” of the product Pa of the product information to the scheduled start time of the lots 1 to 10 is calculated as the scheduled completion time of each lot.
 図18に戻り、容積床面積予測部14は、最新の完成済のロットの完成予定時刻と完成時刻との差である生産実績差に基づいて、未完成のロットの完成予定時刻を調整した調整時刻を算出する(ステップS16)。 Returning to FIG. 18, the volume floor area prediction unit 14 adjusts the scheduled completion time of the unfinished lot based on the production result difference that is the difference between the latest scheduled completion time and the completion time of the completed lot. Time is calculated (step S16).
 ステップS15で、容積床面積予測部14が、製品PaのNO.1~10のロットの完成予定時刻を算出した場合、ステップS16で、容積床面積予測部14は、まず、製品Paの最新の完成時刻のロットに着目して、進捗の遅れや前倒しを示す生産実績差を算出する。図5に示すように、製品Paのロットの最新の完成時刻はロットNo.4のロットの13:59である。容積床面積予測部14は、ロットNo.4のロットのロット着手予定時刻9:09から完成時刻13:59までの間に予め指定された休憩時間帯12:00~12:45があるので、実績休憩時間は0:45とする。容積床面積予測部14は、最新の「完成時刻」の値と「完成予定時刻」の値との差から実績休憩時間の値を減算して生産実績差を算出する。図5の例では、最新の「完成時刻」が13:59、「完成予定時刻」が11:39、実績休憩時間が0:45であるので、生産実績差は、+1:35である。 In step S15, the volume floor area prediction unit 14 determines that the NO. When the scheduled completion times of the lots 1 to 10 are calculated, in step S16, the volume floor area prediction unit 14 first focuses on the lot of the latest completion time of the product Pa, and indicates production delay or advance Calculate the difference in performance. As shown in FIG. 5, the latest completion time of the lot of product Pa is the lot number. It is 13:59 of 4 lots. The volume floor area predicting unit 14 determines the lot number. Since there is a pre-designated break time zone from 12:00 to 12:45 from the scheduled lot start time of 9:09 to the completion time of 13:59, the actual break time is set to 0:45. The volume floor area prediction unit 14 subtracts the value of the actual break time from the difference between the latest value of “completion time” and the value of “scheduled completion time” to calculate the production result difference. In the example of FIG. 5, since the latest “completion time” is 13:59, “scheduled completion time” is 11:39, and the actual break time is 0:45, the production performance difference is +1: 35.
 容積床面積予測部14は、「完成時刻」の項目に値がない各ロットについて、「完成予定時刻」に生産実績差を加算した時刻を算出する。容積床面積予測部14は、「ロット着手予定時刻」から「完成予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯があるか否かを判定する。容積床面積予測部14は、休憩時間帯がある場合、当該ロットの製造中に休憩時間をとるものとして、「完成予定時刻」に生産実績差を加算した時刻に、図3に示す生産計画情報の製品Paの「休憩時間」の値をさらに加算して調整時刻を算出する。休憩時間帯がない場合、容積床面積予測部14は、当該ロットの製造中に休憩時間をとらないものとして、「完成予定時刻」に生産実績差を加算した時刻を調整時刻とする。例えば、図5に示す製品PaのロットNO.5のロットの場合、「完成予定時刻」11:42:00に生産実績差+1:35を加算すると、13:17になる。9:12~13:17の間に休憩時間帯があるので、容積床面積予測部14は、13:17に実績休憩時間0:45を加算した14:02をロットNO.5のロットの調整時刻とする。 The volume floor area prediction unit 14 calculates a time obtained by adding the production result difference to the “scheduled completion time” for each lot having no value in the “completion time” item. The capacity floor area prediction unit 14 determines whether or not there is a pre-designated break time period between the “scheduled launch time” and the time when the production result difference is added to the “scheduled completion time”. When there is a break time zone, the capacity floor area prediction unit 14 assumes that a break time is taken during the production of the lot, and the production plan information shown in FIG. The adjustment time is calculated by further adding the value of the “break time” of the product Pa. When there is no break time zone, the volume floor area prediction unit 14 assumes that no break time is taken during the production of the lot, and sets the time obtained by adding the production result difference to the “scheduled completion time” as the adjustment time. For example, the lot No. of product Pa shown in FIG. In the case of the lot of 5, when the production result difference + 1: 35 is added to the “scheduled completion time” 11:42:00, it becomes 13:17. Since there is a break time zone between 9:12 and 13:17, the volume floor area prediction unit 14 sets 14:02 obtained by adding the actual break time 0:45 to 13:17 as the lot number. The lot adjustment time of 5 is assumed.
 図18に戻り、容積床面積予測部14は、完成済のロットの完成時刻および未完成のロットの調整時刻に、完成する1ロットの製品の容積および床面積が増えるものとして、予測容積および予測床面積を算出する(ステップS17)。 Returning to FIG. 18, the volume floor area prediction unit 14 assumes that the volume and floor area of one completed product will increase at the completion time of a completed lot and the adjustment time of an unfinished lot. The floor area is calculated (step S17).
 ステップS16で、容積床面積予測部14が、製品Paの未完成のロットの完成予定時刻を調整した調整時刻を算出した場合、ステップS17で、容積床面積予測部14は、1ロット製造されるごとに「容積」の値を加算して、予測容積を算出する。製品Paは「段積み可能数」が2であるので、容積床面積予測部14は、2ロット製造されるごとに「床面積」の値を加算して、予測床面積を算出する。つまり、図5に示す予測容積は、調整時刻の時点で完成済の製品Paの予測容積を示しており、予測床面積は、調整時刻の時点で完成済の製品Paの予測床面積を示している。図5の例では、製品PaのNo.1~No.10のロットをすべて生産した時点14:17の予測容積は9.600mであって、予測床面積は4.000mである。 When the volume floor area prediction unit 14 calculates the adjustment time obtained by adjusting the scheduled completion time of the unfinished lot of the product Pa in step S16, one volume of the volume floor area prediction unit 14 is manufactured in step S17. The predicted volume is calculated by adding the value of “volume” every time. Since the product Pa has a “number of stackable numbers” of 2, the volume floor area prediction unit 14 calculates the predicted floor area by adding the value of “floor area” every time two lots are manufactured. That is, the predicted volume shown in FIG. 5 indicates the predicted volume of the finished product Pa at the time of adjustment, and the predicted floor area indicates the predicted floor area of the completed product Pa at the time of adjustment. Yes. In the example of FIG. 1-No. At the time point 14:17 when all 10 lots were produced, the predicted volume is 9.600 m 3 and the predicted floor area is 4.000 m 2 .
 図18に戻り、容積床面積予測部14は、生産計画情報において、完成時刻情報が示す製品と同じ製造ラインで製造される製品の着手予定時刻を生産実績差に基づいて補正し、生産計画情報を更新する(ステップS18)。容積床面積予測部14は、算出した予測容積および予測床面積を示す予測容積床面積情報を生成し(ステップS19)、利用道路判定部17に送る。 Returning to FIG. 18, the volume floor area prediction unit 14 corrects the scheduled start time of the product manufactured on the same manufacturing line as the product indicated by the completion time information in the production plan information based on the production result difference, and produces the production plan information. Is updated (step S18). The volume floor area prediction unit 14 generates predicted volume floor area information indicating the calculated predicted volume and the predicted floor area (step S19), and sends it to the use road determination unit 17.
 ステップS17で、容積床面積予測部14が、製品Paの予測容積および予測床面積を算出した場合、ステップS18で、容積床面積予測部14は、以下の処理を行う。容積床面積予測部14は、生産計画情報において製品Paと同じ製造ラインL1で製造される製品Pbの「着手予定時刻」から「着手予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がない場合には、製品Pbの「着手予定時刻」に生産実績差を加算する。一方、製品Pbの「着手予定時刻」から「着手予定時刻」に生産実績差を加算した時刻までの間に予め指定された休憩時間帯がある場合には、製品Pbの「着手予定時刻」に生産実績差および決められた休憩時間の値を加算する。容積床面積予測部14は、この処理を、製品Paと同じ製造ラインL1で製造される製品Pcおよび製品Pdについても行い、生産計画情報を更新する。ステップS19で、容積床面積予測部14は、図5に示す予測容積床面積情報を生成し、利用道路判定部17に送る。 When the volume floor area prediction unit 14 calculates the predicted volume and the predicted floor area of the product Pa in step S17, the volume floor area prediction unit 14 performs the following processing in step S18. The volume floor area prediction unit 14 in advance between the “planned start time” of the product Pb manufactured on the same production line L1 as the product Pa in the production plan information and the time when the production result difference is added to the “scheduled start time”. If there is no designated break time zone, the production result difference is added to the “scheduled start time” of the product Pb. On the other hand, if there is a pre-designated break time period between the “scheduled start time” of the product Pb and the time when the production result difference is added to the “scheduled start time”, the “scheduled start time” of the product Pb is set. Add the actual production difference and the value of the set break time. The volume floor area prediction unit 14 also performs this process for the product Pc and the product Pd manufactured on the same manufacturing line L1 as the product Pa, and updates the production plan information. In step S <b> 19, the volumetric floor area prediction unit 14 generates predicted volumetric floor area information shown in FIG. 5 and sends it to the use road determination unit 17.
 図18に戻り、輸送管理装置1の電源がOFFになっていない場合(ステップS20;NO)、処理はステップS11に戻り、ステップS11~ステップS20を繰り返す。輸送管理装置1の電源がOFFになると(ステップS20;YES)、処理を終了する。 Returning to FIG. 18, when the power of the transportation management apparatus 1 is not turned off (step S20; NO), the process returns to step S11 and repeats steps S11 to S20. When the power of the transportation management device 1 is turned off (step S20; YES), the process is terminated.
 続いて、輸送管理装置1が実行する発着時刻予測処理について、図9~図12および図19を用いて説明する。図19に示す発着時刻予測処理は、輸送管理装置1の電源が投入されたことで開始する。輸送管理装置1の発着時刻予測部15は、輸送関連記憶部13に緯度経度情報が記憶される度に、生産拠点に到着した対象輸送車両があるか否かを判定する(ステップS21)。発着時刻予測部15は、対象輸送車両がないと判定すると(ステップS21;NO)、ステップS21を繰り返して輸送車両の到着を待機する。 Subsequently, the arrival / departure time prediction processing executed by the transportation management apparatus 1 will be described with reference to FIGS. 9 to 12 and FIG. The departure / arrival time prediction process shown in FIG. 19 starts when the transportation management apparatus 1 is turned on. The arrival / departure time prediction unit 15 of the transport management device 1 determines whether there is a target transport vehicle that has arrived at the production site each time latitude / longitude information is stored in the transport-related storage unit 13 (step S21). When determining that there is no target transport vehicle (step S21; NO), the departure / arrival time prediction unit 15 repeats step S21 and waits for the arrival of the transport vehicle.
 発着時刻予測部15は、対象輸送車両があると判定すると(ステップS21;YES)、対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたか否かを判定する(ステップS22)。対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されていないと判定すると(ステップS22;NO)、発着時刻予測部15は、ステップS22を繰り返して対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されるのを待機する。 When the departure / arrival time prediction unit 15 determines that there is a target transport vehicle (step S21; YES), it determines whether vehicle state information indicating “work” of the target transport vehicle is recorded in the transport-related storage unit 13 ( Step S22). If it is determined that the vehicle state information indicating the “work” of the target transport vehicle is not recorded in the transport related storage unit 13 (step S22; NO), the arrival / departure time prediction unit 15 repeats step S22 to “ It waits for the vehicle state information indicating “work” to be recorded in the transport-related storage unit 13.
 ステップS21で、発着時刻予測部15が図10に示す緯度経度情報を参照し、図11に示すように、8:50:00に生産拠点に到着したトラックT1を対象輸送車両と判定すると、ステップS22で、発着時刻予測部15は、トラックT1の「作業」を示す車両状態情報が輸送関連記憶部13に記録されるのを待機する。 In step S21, when the departure / arrival time prediction unit 15 refers to the latitude / longitude information shown in FIG. 10 and determines that the truck T1 arriving at the production base at 8:50:00 is the target transport vehicle as shown in FIG. In S <b> 22, the departure / arrival time prediction unit 15 waits for the vehicle state information indicating “work” of the truck T <b> 1 to be recorded in the transport-related storage unit 13.
 図19に戻り、対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたと判定すると(ステップS22;YES)、発着時刻予測部15は、車両状態情報、緯度経度情報および拠点情報に基づいて、「作業」の状態終了予定時刻を到着した生産拠点からの予測出発時刻として算出する(ステップS23)。発着時刻予測部15は、車両状態情報、緯度経度情報および拠点情報に基づいて、対象輸送車両の次の拠点への予測到着時刻を算出する(ステップS24)。発着時刻予測部15は、該当する運行計画における対象輸送車両の生産拠点への「到着予定時刻」を、対象輸送車両が生産拠点に到着したことを示す緯度経度情報の時刻にする。発着時刻予測部15は、該当する運行計画における対象輸送車両の生産拠点からの「出発予定時刻」を、ステップS23で算出した対象輸送車両の到着した生産拠点からの予測出発時刻にする。発着時刻予測部15は、該当する運行計画における対象輸送車両の次の拠点への「到着予定時刻」を、ステップS24で算出した次の拠点への予測到着時刻にする。 Returning to FIG. 19, when it is determined that the vehicle state information indicating the “work” of the target transport vehicle is recorded in the transport-related storage unit 13 (step S22; YES), the arrival / departure time prediction unit 15 determines the vehicle state information, latitude / longitude information. Then, based on the base information, the estimated end time of the “work” state is calculated as the predicted departure time from the production base where it arrived (step S23). The arrival / departure time prediction unit 15 calculates a predicted arrival time of the target transport vehicle at the next base based on the vehicle state information, the latitude / longitude information, and the base information (step S24). The arrival / departure time prediction unit 15 sets the “scheduled arrival time” to the production base of the target transport vehicle in the corresponding operation plan as the time of the latitude / longitude information indicating that the target transport vehicle has arrived at the production base. The departure / arrival time prediction unit 15 sets the “departure scheduled time” from the production base of the target transport vehicle in the corresponding operation plan to the predicted departure time from the production base at which the target transport vehicle arrives calculated in step S23. The arrival / departure time prediction unit 15 sets the “estimated arrival time” to the next base of the target transport vehicle in the corresponding operation plan as the predicted arrival time at the next base calculated in step S24.
 ステップS22で、発着時刻予測部15が、図9に示す1つ目のトラックT1の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたと判定すると、ステップS23で、発着時刻予測部15は、図11に示すように、トラックT1の「作業」を示す車両状態情報が示す時刻8:50:23を状態開始時刻とする。発着時刻予測部15は、輸送関連記憶部13に記憶された過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、工場でのトラックT1の状態が「作業」であった場合の平均作業時間を算出し、状態開始時刻に加算して、状態終了予定時刻9:10:57を算出する。発着時刻予測部15は、発着時刻予測部15は、状態終了予定時刻を分単位にした9:10を工場からの予測出発時刻とする。 If the departure / arrival time prediction unit 15 determines in step S22 that the vehicle state information indicating the “work” of the first truck T1 shown in FIG. 9 is recorded in the transport-related storage unit 13, the arrival / departure time prediction is performed in step S23. As illustrated in FIG. 11, the unit 15 sets time 8:50:23 indicated by the vehicle state information indicating “work” of the truck T1 as the state start time. The arrival / departure time prediction unit 15 is based on past vehicle state information, past latitude / longitude information, and base information stored in the transport-related storage unit 13, and the state of the truck T1 in the factory is “work”. The average work time is calculated and added to the state start time to calculate the state end scheduled time 9:10:57. The arrival / departure time prediction unit 15 sets the estimated departure time from the factory at 9:10 with the estimated state end time in minutes.
 ステップS24で、発着時刻予測部15は、図11に示すように、輸送関連記憶部13に記憶された過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、工場から外部倉庫への平均移動時間を算出する。発着時刻予測部15は、予測出発時刻9:10:57に平均移動時間を加算して分単位にした、次の拠点である外部倉庫への予測到着時刻10:00を算出する。 In step S24, the departure / arrival time prediction unit 15 moves from the factory to the external warehouse based on the past vehicle state information, the past latitude / longitude information, and the base information stored in the transport-related storage unit 13, as shown in FIG. The average travel time is calculated. The arrival / departure time prediction unit 15 calculates an estimated arrival time 10:00 to the next external warehouse, which is the unit of minutes by adding the average travel time to the estimated departure time 9:10:57.
 発着時刻予測部15は、図12に示すように、運行計画情報の該当する運行計画の「到着予定時刻」の項目に、工場に到着したことを示す緯度経度情報が示す時刻8:50を記録する。図12の例では、実際の到着時刻を括弧書きで表示している。発着時刻予測部15は、該当する運行計画の「出発予定時刻」の項目に、算出した予測出発時刻9:10を記録し、次の拠点である外部倉庫の「到着予定時刻」の欄に、算出した予測到着時刻10:00を記録する。 As shown in FIG. 12, the arrival / departure time prediction unit 15 records the time 8:50 indicated by the latitude / longitude information indicating arrival at the factory in the “estimated arrival time” item of the corresponding operation plan in the operation plan information. To do. In the example of FIG. 12, the actual arrival time is displayed in parentheses. The arrival / departure time prediction unit 15 records the calculated predicted departure time 9:10 in the item “scheduled departure time” of the corresponding operation plan, and in the “scheduled arrival time” column of the external warehouse as the next base, The calculated predicted arrival time 10:00 is recorded.
 図19に戻り、発着時刻予測部15は、対象輸送車両の運行計画の次の拠点の「出発予定時刻」の項目以降の「到着予定時刻」および「出発予定時刻」を、それぞれ「到着予定時刻」および「出発予定時刻」の元の時刻に輸送実績差を加算した時刻にして、運行計画情報を更新し(ステップS25)、処理を終了する。 Returning to FIG. 19, the arrival / departure time prediction unit 15 sets “estimated arrival time” and “estimated departure time” after the “estimated departure time” item of the next base of the operation plan of the target transport vehicle to “estimated arrival time”, respectively. The schedule information is updated to the time obtained by adding the difference in transportation results to the original time of “and scheduled departure time” (step S25), and the process ends.
 ステップS24で、発着時刻予測部15が、対象輸送車両の次の拠点である外部倉庫への予測到着時刻10:00を算出すると、ステップS25で、発着時刻予測部15は、の拠点である外部倉庫の予測到着時刻10:00と「到着予定時刻」の元の時刻10:10との差である輸送実績差-10分を算出する。発着時刻予測部15は、図12に示すように、図7に示す元の運行計画情報の次の拠点である外部倉庫の「出発予定時刻」の項目以降の運行計画の「到着予定時刻」および「出発予定時刻」の項目に、それぞれ「到着予定時刻」および「出発予定時刻」の時刻に輸送実績差-10分を加算した時刻を記録して、運行計画情報を更新する。 In step S24, when the arrival / departure time prediction unit 15 calculates the predicted arrival time 10:00 to the external warehouse that is the next base of the target transport vehicle, in step S25, the departure / arrival time prediction unit 15 A transport result difference—10 minutes, which is the difference between the predicted arrival time 10:00 of the warehouse and the original time 10:10 of the “scheduled arrival time”, is calculated. As shown in FIG. 12, the arrival / departure time prediction unit 15 includes the “estimated arrival time” of the operation plan after the “departure scheduled time” item of the external warehouse which is the next base of the original operation plan information shown in FIG. In the “scheduled departure time” item, the times of “scheduled arrival time” and “scheduled departure time” plus the difference in transportation performance minus 10 minutes are recorded, and the operation plan information is updated.
 輸送管理装置1は、発着時刻予測処理が終了すると、各拠点のバースの使用状況を予測するバース使用状況予測処理を行う。ここから、輸送管理装置1が実行するバース使用状況予測処理について、図12、図13A、図13Bおよび図20を用いて説明する。図20に示すバース使用状況予測処理は、発着時刻予測処理が終了すると開始する。輸送管理装置1のバース使用状況予測部16は、発着時刻予測部15が運行計画情報を更新すると、当日の運行計画情報を参照し、各拠点に到着する輸送車両の数とバースを使用する時間帯とを算出する(ステップS31)。次に、バース使用状況予測部16は、バースバッティングが発生するか否かを判定する(ステップS32)。バースバッティングが発生しない場合(ステップS32;NO)、バース使用状況予測部16は、拠点に到着する輸送車両の数とバースを使用する時間帯とを示すバース使用状況情報を生成する(ステップS34)。 When the arrival / departure time prediction process is completed, the transportation management device 1 performs a berth use state prediction process for predicting a berth use state at each base. From here, the berth use condition prediction process which the transportation management apparatus 1 performs is demonstrated using FIG. 12, FIG. 13A, FIG. 13B, and FIG. The berth use state prediction process shown in FIG. 20 starts when the arrival / departure time prediction process ends. When the arrival / departure time prediction unit 15 updates the operation plan information, the berth use state prediction unit 16 of the transport management device 1 refers to the operation plan information on the day and uses the number of transport vehicles arriving at each base and the berth time. A band is calculated (step S31). Next, the berth use state prediction unit 16 determines whether or not berth batting occurs (step S32). When berth batting does not occur (step S32; NO), the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used (step S34). .
 ステップS31で、バース使用状況予測部16が、図12に示す運行計画情報を参照し、各拠点に到着する輸送車両の数とバースを使用する時間帯とを算出し、輸送車両の拠点への到着時刻から拠点からの出発時刻までの時間帯の項目に「1」を加算した図13Aに示すバース使用状況情報を生成すると、ステップS32で、バース使用状況予測部16は、図13Aに示すバース使用状況情報について10時20分~35分の15分間は、工場のバース数「2」を越えた3台の輸送車両が到着するバースバッティングが発生していると判定する。 In step S31, the berth use state prediction unit 16 refers to the operation plan information shown in FIG. 12, calculates the number of transport vehicles arriving at each base and the time zone in which the berth is used. When the berth usage status information shown in FIG. 13A in which “1” is added to the item of the time zone from the arrival time to the departure time from the base is generated in step S32, the berth usage status prediction unit 16 in FIG. Regarding usage status information, it is determined that berth batting occurs in which three transport vehicles exceeding the number of berths “2” of the factory arrive for 15 minutes from 10:20 to 35/35.
 図20に戻り、バースバッティングが発生する場合(ステップS32;YES)、バース使用状況予測部16は、バースバッティングにより待機する輸送車両の到着予定時刻を、先着の輸送車両の出発予定時刻に変更し、待機する輸送車両の出発予定時刻を到着予定時刻に合わせて変更して、運行計画情報を更新する(ステップS33)。バース使用状況予測部16は、すべてのバースバッティングが解消するまでステップS32およびステップS33を繰り返す。すべてのバースバッティングが解消すると(ステップS32;NO)、バース使用状況予測部16は、拠点に到着する輸送車両の数とバースを使用する時間帯とを示すバース使用状況情報を生成する(ステップS34)。バース使用状況予測部16は、生成したバース使用状況情報を利用道路判定部17に送り、処理を終了する。 Returning to FIG. 20, when berth batting occurs (step S <b> 32; YES), the berth use state prediction unit 16 changes the scheduled arrival time of the transport vehicle waiting by berth batting to the scheduled departure time of the first transport vehicle. Then, the scheduled departure time of the waiting transportation vehicle is changed in accordance with the estimated arrival time, and the operation plan information is updated (step S33). The berth use state prediction unit 16 repeats steps S32 and S33 until all berth batting is eliminated. When all the berth batting is eliminated (step S32; NO), the berth use state prediction unit 16 generates berth use state information indicating the number of transport vehicles arriving at the base and the time zone in which the berth is used (step S34). ). The berth usage status prediction unit 16 sends the generated berth usage status information to the usage road determination unit 17 and ends the process.
 ステップS32で、バース使用状況予測部16は、図13Aに示すバース使用状況情報についてバースバッティングが発生していると判定すると、ステップS33で、バース使用状況予測部16は、バースバッティングにより待機する輸送車両の到着予定時刻を先着の輸送車両の出発予定時刻に変更し、待機する輸送車両の出発予定時刻を到着予定時刻に合わせて変更して、発着時刻予測部15が更新した運行情報を更新する。待機する輸送車両の出発予定時刻を到着予定時刻に合わせて変更する処理を、すべてのバースバッティングが解消するまで繰り返し、運行情報を更新する。ステップS34で、バース使用状況予測部16は、図13Bに示すバースバッティングが解消したバース使用状況情報を生成し、利用道路判定部17に送る。 If the berth usage status prediction unit 16 determines in step S32 that berth batting has occurred with respect to the berth usage status information shown in FIG. 13A, in step S33, the berth usage status prediction unit 16 waits for transportation by berth batting. The scheduled arrival time of the vehicle is changed to the scheduled departure time of the first transport vehicle, the scheduled departure time of the transport vehicle waiting is changed according to the scheduled arrival time, and the operation information updated by the departure / arrival time prediction unit 15 is updated. . The operation information is updated by repeating the process of changing the scheduled departure time of the waiting transport vehicle in accordance with the estimated arrival time until all berth batting is resolved. In step S <b> 34, the berth usage status prediction unit 16 generates berth usage status information in which the berth batting shown in FIG. 13B has been eliminated, and sends it to the usage road determination unit 17.
 輸送管理装置1は、バース使用状況予測処理が終了すると、対象輸送車両が次の拠点までの移動に自動車専用道路を利用するか否かを判定して判定結果を対象輸送車両に表示させる利用道路判定処理を行う。ここから、輸送管理装置1が実行する利用道路判定処理について、図8、図11、図14、図16および図21を用いて説明する。図21に示す利用道路判定処理は、バース使用状況予測処理が終了すると開始する。 When the berth use state prediction process is completed, the transportation management device 1 determines whether or not the target transport vehicle uses an automobile road for movement to the next base and displays the determination result on the target transport vehicle. Judgment processing is performed. From here, the use road determination process which the transportation management apparatus 1 performs is demonstrated using FIG.8, FIG.11, FIG.14, FIG.16 and FIG. The usage road determination process shown in FIG. 21 starts when the berth usage status prediction process ends.
 輸送管理装置1の利用道路判定部17は、バース使用状況予測部16からバース使用状況情報を受け取ると、運行計画情報および拠点情報を参照し、対象輸送車両が到着した生産拠点から次の拠点までの経路に自動車専用走路があるか否かを判定する(ステップS41)。利用道路判定部17は、対象輸送車両が到着した生産拠点から次の拠点までの経路に自動車専用走路がない場合には(ステップS41;NO)、処理を終了する。利用道路判定部17は、対象輸送車両が到着した生産拠点から次の拠点までの経路に自動車専用走路がある場合には(ステップS41;YES)、積載量情報および運行計画情報に基づいて、予測容積床面積情報の輸送車両が到着する時刻の予測容積および予測床面積の値から搬出容積および搬出床面積の値を減算する(ステップS42)。利用道路判定部17は、当日に生産拠点に到着するすべての輸送車両についてステップS42の処理を行い、予測容積床面積情報を更新する(ステップS43)。 When the usage road determination unit 17 of the transportation management apparatus 1 receives the berth usage status information from the berth usage status prediction unit 16, it refers to the operation plan information and the base information, and from the production base where the target transport vehicle arrives to the next base. It is determined whether or not there is a dedicated road for automobiles (step S41). The use road judgment part 17 complete | finishes a process, when there is no vehicle exclusive runway in the path | route from the production base where the object transport vehicle arrived to the next base (step S41; NO). The use road determination unit 17 predicts based on the load amount information and the operation plan information when there is a dedicated road for a car on the route from the production base where the target transport vehicle arrives to the next base (step S41; YES). The value of the unloading volume and the unloading floor area is subtracted from the predicted volume and the predicted floor area value at the time when the transport vehicle of the volume floor area information arrives (step S42). The use road determination unit 17 performs the process of step S42 for all transport vehicles arriving at the production site on the day, and updates the predicted volume floor area information (step S43).
 ステップS41で、利用道路判定部17が、バース使用状況予測部16が更新した運行計画情報および図8に示す拠点情報に基づいて、図11に示すトラックT1について、工場から外部倉庫までの経路に高速道路Yがあると判定すると、ステップS42で、利用道路判定部17は、図14に示す積載量情報およびバース使用状況予測部16が更新した運行計画情報に基づいて、予測容積床面積情報の輸送車両が到着する時刻の予測容積の値から搬出容積の値を減算する。利用道路判定部17は、予測床面積についても同様に、予測容積床面積情報の輸送車両が生産拠点に到着する時刻の予測床面積から搬出床面積を減算する。ステップS43で、利用道路判定部17は、当日に生産拠点に到着するすべての輸送車両について、予測容積床面積情報の輸送車両が到着する時刻の予測容積および予測床面積の値から搬出容積および搬出床面積の値を減算する処理を行い、予測容積床面積情報を更新する。 In step S41, based on the operation plan information updated by the berth use state prediction unit 16 and the base information shown in FIG. 8, the usage road determination unit 17 sets the route from the factory to the external warehouse for the truck T1 shown in FIG. If it is determined that there is an expressway Y, in step S42, the use road determination unit 17 calculates the predicted volume floor area information based on the load information shown in FIG. 14 and the operation plan information updated by the berth use state prediction unit 16. The unloading volume value is subtracted from the predicted volume value at the time when the transport vehicle arrives. Similarly, for the predicted floor area, the use road determination unit 17 subtracts the carry-out floor area from the predicted floor area at the time when the transport vehicle having the predicted volume floor area information arrives at the production base. In step S43, the use road determination unit 17 determines the unloading volume and unloading from the predicted volume and predicted floor area value at the time when the transport vehicle arrives in the predicted volume floor area information for all the transport vehicles arriving at the production site on that day. A process of subtracting the value of the floor area is performed, and the predicted volume floor area information is updated.
 図21に戻り、利用道路判定部17は、更新した予測容積床面積情報に基づいて、対象輸送車両が到着した時刻以降の予測容積または予測床面積が、それぞれ設定容積または設定床面積を超えるタイミングがあるか否かを判定する(ステップS44)。設定容積または設定床面積を超えるタイミングがない場合(ステップS44;NO)、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用しないと判定する(ステップS45)。設定容積または設定床面積を超えるタイミングがある場合(ステップS44;YES)、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用した場合の移動時間で次の拠点への予測到着時刻を計算し直す(ステップS46)。 Returning to FIG. 21, the use road determination unit 17 determines the predicted volume or the predicted floor area after the arrival time of the target transport vehicle exceeds the set volume or the set floor area, respectively, based on the updated predicted volume floor area information. It is determined whether or not there is (step S44). When there is no timing exceeding the set volume or the set floor area (step S44; NO), the use road determination unit 17 determines that the target transport vehicle does not use the automobile exclusive road for moving to the next base (step S45). . When there is a timing exceeding the set volume or the set floor area (step S44; YES), the use road determination unit 17 sets the next travel time when the target transport vehicle uses an automobile-only road to move to the next base. The predicted arrival time at the base is recalculated (step S46).
 ステップS44で、利用道路判定部17が、更新した予測容積床面積情報に基づいて、トラックT1が工場に到着した時刻以降の予測容積または予測床面積が、それぞれ設定容積または設定床面積を超えるタイミングがあると判定すると、ステップS46で、利用道路判定部17は、トラックT1が外部倉庫までの移動に高速道路Yを利用した場合の移動時間で外部倉庫への予測到着時刻を計算し直す。 In step S44, based on the updated predicted volume floor area information, the use road determination unit 17 is a timing at which the predicted volume or the predicted floor area after the time when the truck T1 arrives at the factory exceeds the set volume or the set floor area, respectively. If it is determined that there is, the use road determination unit 17 recalculates the predicted arrival time at the external warehouse based on the travel time when the truck T1 uses the highway Y to travel to the external warehouse.
 図21に戻り、利用道路判定部17は、バース使用状況予測部16から受け取ったバース使用状況情報を参照し、自動車専用道路を利用した場合の予測到着時刻に次の拠点のバースが空いているか否かを判定する(ステップS47)。次の拠点のバースが空いていない場合(ステップS47;NO)、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用しないと判定する(ステップS45)。次の拠点のバースが空いている場合(ステップS47;YES)、利用道路判定部17は、対象輸送車両が次の拠点までの移動に自動車専用道路を利用すると判定する(ステップS48)。 Returning to FIG. 21, the use road determination unit 17 refers to the berth use state information received from the berth use state prediction unit 16, and confirms whether the next base berth is vacant at the predicted arrival time when the car-only road is used. It is determined whether or not (step S47). When the berth at the next base is not empty (step S47; NO), the use road determination unit 17 determines that the target transport vehicle does not use the automobile road for movement to the next base (step S45). When the berth at the next base is vacant (step S47; YES), the use road determination unit 17 determines that the target transport vehicle uses the automobile-only road to move to the next base (step S48).
 ステップS47で、図13Bに示すバース使用状況情報を参照し、利用道路判定部17が、計算し直した予測到着時刻に外部倉庫のバースが空いていると判定した場合、ステップS48で、利用道路判定部17は、トラックT1が外部倉庫までの移動に高速道路を利用すると判定する。 In step S47, with reference to the berth use status information shown in FIG. 13B, if the use road determination unit 17 determines that the berth of the external warehouse is vacant at the recalculated predicted arrival time, the use road is determined in step S48. The determination unit 17 determines that the truck T1 uses the highway for movement to the external warehouse.
 図21に戻り、利用道路判定部17は、自動車専用道路を利用するか否かの判定結果を示す判定結果情報を生成し(ステップS49)、通信部11に送る。通信部11は、利用道路判定部17から受け取った判定結果情報を車載装置3に送信し(ステップS50)、処理を終了する。ステップS45の後、処理を終了し、利用道路判定部17は、自動車専用道路を利用する判定の場合にのみ判定結果情報を車載装置3に送信することにしてもよい。 Returning to FIG. 21, the use road determination unit 17 generates determination result information indicating a determination result as to whether or not to use an automobile-only road (step S49), and sends the determination result information to the communication unit 11. The communication part 11 transmits the determination result information received from the use road determination part 17 to the vehicle-mounted apparatus 3 (step S50), and complete | finishes a process. After step S45, the processing may be terminated, and the use road determination unit 17 may transmit the determination result information to the in-vehicle device 3 only when it is determined to use the automobile-only road.
 ステップS49で、利用道路判定部17が、トラックT1が外部倉庫までの移動に高速道路を利用することを示す判定結果情報を生成し、ステップS50で、通信部11がこの判定結果情報を対象輸送車両の車載装置3に送信すると、車載装置3の表示部34には、図16に示す画面が表示される。 In step S49, the use road determination unit 17 generates determination result information indicating that the truck T1 uses the highway to move to the external warehouse. In step S50, the communication unit 11 transmits the determination result information to the target transport. When transmitted to the in-vehicle device 3 of the vehicle, a screen shown in FIG. 16 is displayed on the display unit 34 of the in-vehicle device 3.
 本実施の形態に係る輸送管理システム100によれば、製造業において、輸送管理装置1が生産拠点端末2および車載装置3から得た情報に基づいて、当日製品が製造される物量を予測し、当日製品が製造される物量が設定された上限の値を超える場合には、自動車専用道路を利用する指示を対象輸送車両の車載装置3に表示することで輸送回数を増やし、輸送物量が少ないときには自動車専用道路を利用しないことで、製品の輸送に必要な数の輸送車両を確保しつつ、物流費を削減することができる。 According to the transportation management system 100 according to the present embodiment, in the manufacturing industry, based on the information obtained from the production base terminal 2 and the in-vehicle device 3 by the transportation management device 1, the amount of products manufactured on the day is predicted, When the quantity of products manufactured on the day exceeds the set upper limit, the number of transportation is increased by displaying an instruction to use an automobile road on the in-vehicle device 3 of the target transportation vehicle, and the quantity of transportation is small By not using an automobile road, logistics costs can be reduced while securing the number of transport vehicles necessary for product transportation.
 上記の実施の形態では、輸送対象物が工業製品である場合について説明したが、本発明における輸送対象物は、拠点から他の拠点へ輸送される物品であればよい。例えば、輸送対象物は、荷姿が特定可能な梱包された農産物、水産物、原材料、物質、工芸品、集配物などでもよく、個体でも、液体でも、気体でも、それらの混合物でもよい。さらに、荷姿は必ずしも特定可能である必要はない。 In the above embodiment, the case where the transport object is an industrial product has been described. However, the transport object in the present invention may be an article transported from a base to another base. For example, the transport object may be a packaged agricultural product, marine product, raw material, material, craft, collection, etc. that can specify the package form, and may be an individual, a liquid, a gas, or a mixture thereof. Furthermore, the packing form does not necessarily need to be identifiable.
 従って、上述の生産拠点は、広くは、輸送対象物が準備・集積される任意の拠点でよく、所謂、集配所、物流センターなどを含む。この場合、実施の形態の生産拠点端末2は拠点端末と理解される。拠点端末の形態は、実施の形態で説明した機能を実現できるならば、専用の端末である必要はない。また、拠点端末は、拠点の情報を入力・送信できればよく、拠点に設置される必要はなく、その機能を有するものが何れかの場所に用意されていればよい。拠点端末の機能が分散して配置されていてもよい。 Therefore, the production bases described above may be broadly any bases where the objects to be transported are prepared and collected, and include so-called collection / delivery centers and distribution centers. In this case, the production base terminal 2 of the embodiment is understood as a base terminal. The base terminal need not be a dedicated terminal as long as the functions described in the embodiment can be realized. Further, the base terminal only needs to be able to input and transmit base information, and does not need to be installed at the base, and a base terminal having the function may be prepared in any place. The functions of the base terminals may be distributed and arranged.
 輸送車両は、自動車に限らず、鉄道車両、鉄道貨車、船舶、飛行機などの、物品を輸送できる全てのものを含む。ただし、相対的に低速で低コストの輸送経路と相対的に高速で高コストの輸送経路とが選択可能であることを前提とする。 Transportation vehicles are not limited to automobiles, but include all vehicles that can transport goods, such as railway vehicles, railway wagons, ships, and airplanes. However, it is assumed that a relatively low-speed and low-cost transportation route and a relatively high-speed and high-cost transportation route can be selected.
 車載装置3は、専用の装置に限定されず、タブレット装置、携帯端末装置、PDA(Personal Data Assistance)などでもよい。また、車載装置3に、自動車専用道路を使用するか否かの判定結果を送信して報知させたが、拠点に設置された表示装置に表示して報知させたり、ドライバーの携帯端末に電子メール、音声電話、SNSなどを使って通知することにより報知させたりしてもよい。報知の手法自体は任意である。 The in-vehicle device 3 is not limited to a dedicated device, and may be a tablet device, a mobile terminal device, a PDA (Personal Data Assistant) or the like. In addition, the in-vehicle device 3 is transmitted and notified of the determination result as to whether or not to use the road for exclusive use of the automobile, but is displayed on the display device installed at the base, or notified to the driver's mobile terminal by e-mail. Alternatively, the notification may be made by using a voice telephone, SNS, or the like. The notification method itself is arbitrary.
 製品の仕様を示す製品情報は、広くは、輸送対象物の仕様を示す輸送対象物情報と理解される。 製品 Product information indicating product specifications is broadly understood as transport object information indicating transport object specifications.
 生産計画情報は、広くは、輸送対象物の製造、生産、梱包、倉庫までの搬送などを含む用意をする準備計画を示す準備計画情報に相当すると理解される。 生産 Production plan information is generally understood to correspond to preparation plan information indicating a preparation plan for preparation including manufacturing, production, packing, transport to a warehouse, etc. of an object to be transported.
 製品の完成時刻情報は、広くは、輸送対象物の輸送のための用意が完了する時刻を示す完了時刻情報と理解される。担当者が完了時刻情報を拠点端末に入力するタイミングは、輸送対象物が実際に用意された時でもよいし、輸送対象物が用意できる時刻が確定した時でもよい。 The product completion time information is generally understood as completion time information indicating the time when preparation for transportation of the object to be transported is completed. The timing at which the person in charge inputs the completion time information to the base terminal may be when the transportation object is actually prepared, or when the time when the transportation object can be prepared is determined.
 生産実績差は、広くは、完了時刻情報が示す輸送対象物の用意が完了した最新の時刻と、準備計画における完了予定時刻との差である実績差に相当すると理解される。 The production performance difference is generally understood to correspond to the performance difference that is the difference between the latest time when the preparation of the transportation object indicated by the completion time information is completed and the scheduled completion time in the preparation plan.
 バースは、拠点に設置された荷積みと荷下ろしが可能な空間を広く意味する。 Berth means a wide space that can be loaded and unloaded at the base.
 上記の実施の形態では、予測物量を予測容積および予測床面積としたが、予測する物量は容積および床面積に限らず、例えば、生産拠点において当日生産される製品の段積み後の高さをさらに予測してもよい。また、物量を重量とすることも可能である。 In the above-described embodiment, the predicted volume is the predicted volume and the predicted floor area. However, the predicted volume is not limited to the volume and the floor area. For example, the height after stacking of products produced on the day at the production site is set as the predicted volume. Further prediction may be made. Moreover, it is also possible to make a physical quantity into a weight.
 上記の実施の形態では、利用道路判定部17は、対象輸送車両が到着した時刻以降の予測容積が設定容積を超えるタイミングまたは予測床面積が設定床面積を超えるタイミングがあるか否かを判定した。しかし、予測物量が超えたか否かの判定基準となる閾値は、保管可能な製品の物量の上限の値に限らず、保管可能な製品の物量の上限の値以下の任意の値にユーザが設定してもよい。 In the above embodiment, the use road determination unit 17 determines whether or not there is a timing when the predicted volume after the time when the target transport vehicle arrives exceeds the set volume or when the predicted floor area exceeds the set floor area. . However, the threshold used as a criterion for determining whether or not the predicted quantity has been exceeded is not limited to the upper limit of the quantity of products that can be stored, but can be set by the user to any value that is less than or equal to the upper limit of the quantity of products that can be stored May be.
 上記の実施の形態では、予測物量が閾値を超えるタイミングがあり、かつ、次の拠点までの輸送で自動車専用道路を利用した場合の予測到着時刻に次の拠点のバースが空いている場合に、次の拠点までの輸送で自動車専用道路を利用する或いは利用するべきと判定した。しかし、自動車専用道路に限らず、輸送費、渋滞する時間帯などの他の条件を加味して、予め決められたルートを変更する或いは変更するべきと判定してもよい。即ち、予め定められた条件を満たし、かつ、次の拠点まで自動車専用道路を含む他のルートを利用した場合の予測到着時刻に、次の拠点のバースが空いている或いは待ち時間が基準時間以下であるといった、予め定められた判定基準を満たす場合に、次の拠点までの輸送に自動車専用道路を含む他のルートを利用する或いは利用すべきと判定する構成にしてもよい。 In the above embodiment, when there is a timing when the predicted amount exceeds the threshold, and the berth of the next base is vacant at the predicted arrival time when using a motorway for transportation to the next base, It was decided that the road for exclusive use of the car should be used or should be used for transportation to the next base. However, the route may be determined to be changed or changed in consideration of other conditions such as a transportation cost and a time zone in which the traffic is congested, without being limited to an automobile-only road. That is, the berth of the next base is vacant or the waiting time is below the reference time at the predicted arrival time when a predetermined condition is satisfied and another route including an automobile-only road is used to the next base If a predetermined criterion such as is satisfied, it may be determined that another route including an automobile road is used or should be used for transportation to the next base.
 上記の実施の形態では、日を単位に物量を予測する例を示したが、より短い単位時間、例えば、12時間、8時間などを単位時間として物量を予測してもよい。同様に、より長い時間を単位時間としてもよい。 In the above embodiment, an example is shown in which the quantity is predicted in units of days. However, the quantity may be predicted in units of shorter unit times, for example, 12 hours, 8 hours, or the like. Similarly, a longer time may be used as the unit time.
 上記の実施の形態では、位置情報が緯度経度情報である場合について説明したが、本発明における位置情報は、車載装置3が取得可能な輸送車両の位置を示す情報であればよい。 In the above embodiment, the case where the position information is latitude / longitude information has been described. However, the position information in the present invention may be information indicating the position of the transport vehicle that can be acquired by the in-vehicle device 3.
 上記の実施の形態では、完成時刻情報、車両状態情報、緯度経度情報、予測容積床面積情報、および、バース使用状況情報に「日付」の項目を含むが、輸送管理装置1がタイマを備え、当日の日付を保持している場合には、これらの情報に「日付」の項目を含まなくてもよい。 In the above embodiment, the completion time information, the vehicle state information, the latitude / longitude information, the predicted volume floor area information, and the berth use state information include the item “date”, but the transportation management device 1 includes a timer, When the date of the current day is held, the item of “date” may not be included in these pieces of information.
 上記の実施の形態では、輸送車両の状態が変化すると、輸送車両の運転手が車載装置3に輸送車両の状態を必ず入力することを前提に説明した。しかし、運転手が車載装置3に輸送車両の状態を入力し忘れる可能性もあるため、輸送管理装置1が入力忘れの発生を検出して、入力し忘れた状態を判定して車両状態情報を更新する構成にしてもよい。この場合、拠点情報に拠点が有するバースの領域を示す情報を含む。輸送管理装置1は、車両状態情報が示す輸送車両の状態が「移動」のまま、緯度経度情報が示す輸送車両の位置が拠点のバースの中にある状態が決められた時間継続した場合、「作業」の入力忘れを検出し、当該輸送車両の「作業」の状態を示す車両状態情報を記録する。輸送管理装置1は、車両状態情報が示す輸送車両の状態が「作業」のまま、緯度経度情報が示す輸送車両の位置が拠点のバースの外にある状態が決められた時間継続した場合、「移動」の入力忘れを検出し、当該輸送車両の「移動」の状態を示す車両状態情報を記録する。 In the above-described embodiment, the description has been made on the assumption that the driver of the transportation vehicle always inputs the state of the transportation vehicle to the in-vehicle device 3 when the state of the transportation vehicle changes. However, since there is a possibility that the driver forgets to input the state of the transportation vehicle to the in-vehicle device 3, the transportation management device 1 detects the occurrence of the forgetting input, determines the state of forgetting the input, and determines the vehicle state information. You may make it the structure updated. In this case, the base information includes information indicating the berth area of the base. When the state of the transport vehicle indicated by the vehicle state information remains “moving” and the position of the transport vehicle indicated by the latitude / longitude information continues for a predetermined time, the transport management device 1 Forgetting to input “operation” is detected, and vehicle state information indicating the “operation” state of the transport vehicle is recorded. If the state of the transport vehicle indicated by the vehicle state information remains “work” and the position of the transport vehicle indicated by the latitude / longitude information continues for a predetermined time, the transport management device 1 Forgetting to input “movement” is detected, and vehicle state information indicating the “movement” state of the transport vehicle is recorded.
 輸送管理装置1は、車両状態情報が示す輸送車両の状態が「移動」のまま、緯度経度情報が示す輸送車両の位置が拠点の所在地の中のバース以外の位置にある状態が決められた時間継続した場合、「待機」の入力忘れを検出し、当該輸送車両の「待機」の状態を示す車両状態情報を記録する。輸送管理装置1は、車両状態情報が示す輸送車両の状態が「待機」のまま、緯度経度情報が示す輸送車両の位置が拠点のバースの中にある状態が決められた時間継続した場合、「作業」の入力忘れを検出し、当該輸送車両の「作業」の状態を示す車両状態情報を記録する。 The transportation management device 1 is the time when the state of the transport vehicle indicated by the latitude / longitude information is in a position other than the berth in the location of the base while the state of the transport vehicle indicated by the vehicle state information remains “moving” If it is continued, forgetting to input “standby” is detected, and vehicle state information indicating the “standby” state of the transport vehicle is recorded. When the state of the transport vehicle indicated by the vehicle state information remains “standby” and the position of the transport vehicle indicated by the latitude / longitude information continues for a predetermined time, the transport management device 1 Forgetting to input “operation” is detected, and vehicle state information indicating the “operation” state of the transport vehicle is recorded.
 輸送管理装置1は、車両状態情報が示す輸送車両の状態が「移動」のまま、緯度経度情報が示す輸送車両の位置が拠点の所在地以外の位置で決められた時間変化しない場合、「休憩」の入力忘れを検出し、当該輸送車両の「休憩」の状態を示す車両状態情報を記録する。輸送管理装置1は、車両状態情報が示す輸送車両の状態が「休憩」のまま、緯度経度情報が示す輸送車両の位置が変化している状態が決められた時間継続した場合、「移動」の入力忘れを検出し、当該輸送車両の「移動」の状態を示す車両状態情報を記録する。 If the transportation vehicle state indicated by the vehicle state information remains “moving” and the position of the transportation vehicle indicated by the latitude / longitude information does not change for a time determined at a position other than the location of the base, the transportation management device 1 performs “rest”. Is detected, and vehicle state information indicating the “rest” state of the transport vehicle is recorded. When the state of the transportation vehicle indicated by the vehicle state information remains “rest” and the position of the transportation vehicle indicated by the latitude / longitude information is changed for a predetermined time, the transportation management device 1 Forgetting to input is detected, and vehicle state information indicating the “moving” state of the transport vehicle is recorded.
 上記の実施の形態では、発着時刻予測部15は、発着時刻予測処理において、対象輸送車両の「作業」を示す車両状態情報が輸送関連記憶部13に記録されたか否かを判定した。しかし、拠点情報に拠点が有するバースの領域を示す情報を含む場合には、発着時刻予測部15は、輸送関連記憶部13に記憶される緯度経度情報に基づいて、対象輸送車両がバース内に進入したか否かを判定してもよい。この場合、発着時刻予測部15は、対象輸送車両がバース内に進入したと判定すると、過去の車両状態情報、過去の緯度経度情報および拠点情報に基づいて、同じ拠点で対象輸送車両と同じ輸送車両の状態が「作業」であった場合の平均作業時間を算出する。 In the above embodiment, the arrival / departure time prediction unit 15 determines whether or not vehicle state information indicating “work” of the target transport vehicle is recorded in the transport-related storage unit 13 in the arrival / departure time prediction process. However, when the base information includes information indicating the berth area of the base, the arrival / departure time prediction unit 15 determines that the target transport vehicle is within the berth based on the latitude / longitude information stored in the transport-related storage unit 13. You may determine whether it entered. In this case, when the departure / arrival time prediction unit 15 determines that the target transport vehicle has entered the berth, the same transport as the target transport vehicle at the same base based on the past vehicle state information, the past latitude / longitude information, and the base information. An average work time when the vehicle state is “work” is calculated.
 上記の実施の形態では、発着時刻予測部15は、車両状態情報に基づいて、輸送車両の作業、移動、待機、および、休憩のいずれの状態であるかを判別している。これに限らず、発着時刻予測部15は、位置情報に基づいて、輸送車両の状態を判別してもよい。この場合、発着時刻予測部15は、位置情報に基づいて、拠点のバース内で輸送車両が停止している場合は、「作業」と判別する。拠点の所在地の外で輸送車両が停止している場合は、「休憩」と判別する。拠点の所在地の中のバース外で輸送車両が停止している場合は、「待機」と判別する。輸送車両が移動している場合は、「移動」と判別する。 In the above-described embodiment, the arrival / departure time prediction unit 15 determines whether the transport vehicle is in a working, moving, standby, or resting state based on the vehicle state information. Not only this but the departure / arrival time estimation part 15 may discriminate | determine the state of a transport vehicle based on position information. In this case, the arrival / departure time prediction unit 15 determines “work” based on the position information when the transport vehicle is stopped within the base berth. When the transport vehicle is stopped outside the location of the base, it is determined as “rest”. When the transport vehicle is stopped outside the berth in the location of the base, it is determined as “standby”. If the transport vehicle is moving, it is determined as “moving”.
 上記の実施の形態では、運行計画情報は、輸送管理装置1に予め記憶されている、輸送管理装置1にユーザが入力する、または、輸送管理装置1が外部のサーバから取得する。これに限らず、輸送管理装置1は、容積床面積予測部14が算出した調整時刻、各輸送車両の状態、緯度経度情報、積載量情報、拠点情報などに基づいて、運行計画を決定し、運行計画情報を作成してもよい。具体的には、輸送管理装置1は、各輸送車両の状態、緯度経度情報、積載量情報、拠点情報などに基づいて、容積床面積予測部14が算出した調整時刻に完成する製品のロットの輸送先と輸送車両と輸送日時とを決定し、運行計画情報を作成する。この場合、輸送関連記憶部13は、運行計画情報を記憶しなくてもよい。また、発着時刻予測部15が、容積床面積予測部14が算出した調整時刻、各輸送車両の状態、緯度経度情報、積載量情報、拠点情報などに基づいて、運行計画を決定してもよい。この場合、発着時刻予測部15は、運行計画における対象輸送車両の生産拠点への「到着予定時刻」、生産拠点からの「出発予定時刻」、次の拠点への「到着予定時刻」をそれぞれ、対象輸送車両が生産拠点に到着したことを示す緯度経度情報の時刻、予測出発時刻、予測到着時刻にして、運行計画情報を作成する。 In the above-described embodiment, the operation plan information is stored in advance in the transportation management apparatus 1 and is input by the user into the transportation management apparatus 1 or acquired by the transportation management apparatus 1 from an external server. Not limited to this, the transport management device 1 determines an operation plan based on the adjustment time calculated by the volume floor area prediction unit 14, the state of each transport vehicle, latitude / longitude information, load information, base information, etc. Operation plan information may be created. Specifically, the transportation management device 1 determines the lot of a product to be completed at the adjustment time calculated by the volume floor area prediction unit 14 based on the state of each transportation vehicle, latitude / longitude information, loading information, base information, and the like. The transportation destination, transportation vehicle, transportation date and time are determined, and operation plan information is created. In this case, the transport-related storage unit 13 may not store the operation plan information. The arrival / departure time prediction unit 15 may determine an operation plan based on the adjustment time calculated by the volume floor area prediction unit 14, the state of each transport vehicle, latitude / longitude information, load information, base information, and the like. . In this case, the arrival / departure time prediction unit 15 sets “estimated arrival time” to the production base of the target transport vehicle in the operation plan, “scheduled departure time” from the production base, and “scheduled arrival time” to the next base, respectively. The operation plan information is created using the time of the latitude / longitude information indicating that the target transport vehicle has arrived at the production base, the predicted departure time, and the predicted arrival time.
 上記の実施の形態では、利用道路判定部17は、生産拠点に到着した対象輸送車両について、生産拠点に到着した時刻以降の予測容積が設定容積を超えるタイミングまたは予測床面積が設定床面積を超えるタイミングがある場合、自動車専用道路を利用した場合の予測到着時刻に次の拠点のバースが空いていれば、次の拠点までの移動に自動車専用道路を利用すると判定する。これに限らず、生産拠点以外の拠点に到着した輸送車両について、次の拠点が生産拠点である場合は対象輸送車両とし、該拠点に到着した時刻以降の予測容積が設定容積を超えるタイミングまたは予測床面積が設定床面積を超えるタイミングがある場合、自動車専用道路を利用した場合の予測到着時刻に次の生産拠点のバースが空いていれば、次の生産拠点までの移動に自動車専用道路を利用すると判定してもよい。つまり、生産拠点から次の拠点までの移動だけでなく、他の拠点からの生産拠点までの移動についても自動車専用道路を利用するか否かを判定してもよい。この場合、利用道路判定処理は、図21に示すフローチャートからステップS42およびステップ43を省略した処理になる。 In the above-described embodiment, the use road determination unit 17 determines, for the target transport vehicle that has arrived at the production base, the timing when the predicted volume after the time of arrival at the production base exceeds the set volume or the predicted floor area exceeds the set floor area. If there is a timing, if the berth of the next base is vacant at the predicted arrival time when the car-only road is used, it is determined that the car-only road is used for movement to the next base. Not limited to this, for transport vehicles that have arrived at a base other than the production base, if the next base is a production base, the transport vehicle will be the target transport vehicle. If there is a timing when the floor area exceeds the set floor area, if the berth of the next production base is vacant at the estimated arrival time when using the automobile exclusive road, the automobile exclusive road is used to move to the next production base. Then, it may be determined. In other words, it may be determined whether or not to use the automobile road not only for movement from the production base to the next base but also for movement from other bases to the production base. In this case, the use road determination process is a process in which step S42 and step 43 are omitted from the flowchart shown in FIG.
 本発明は、本発明の広義の精神と範囲を逸脱することなく、様々な実施の形態および変形が可能とされるものである。また、上述した実施の形態は、本発明を説明するためのものであり、本発明の範囲を限定するものではない。本発明の範囲は、実施の形態ではなく、請求の範囲によって示される。そして、請求の範囲内およびそれと同等の発明の意義の範囲内で施される様々な変形が、本発明の範囲内とみなされる。 The present invention is capable of various embodiments and modifications without departing from the broad spirit and scope of the present invention. The above-described embodiments are for explaining the present invention and do not limit the scope of the present invention. The scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.
 本出願は、2018年6月15日に出願された、日本国特許出願特願2018-114311号に基づく。本明細書中に日本国特許出願特願2018-114311号の明細書、特許請求の範囲、図面全体を参照として取り込むものとする。 This application is based on Japanese Patent Application No. 2018-114311 filed on June 15, 2018. The specification, claims, and entire drawings of Japanese Patent Application No. 2018-114311 are incorporated herein by reference.
 1 輸送管理装置、2 生産拠点端末、3 車載装置、11 通信部、12 生産関連記憶部、13 輸送関連記憶部、14 容積床面積予測部、15 発着時刻予測部、16 バース使用状況予測部、17 利用道路判定部、21 入力部、22 通信部、31 入力部、32 計測部、33 通信部、34 表示部、100 輸送管理システム、101 一時記憶部、102 記憶部、103 計算部、104 入力部、105 外部出力部、106 表示部、X,Y 高速道路。 1 transport management device, 2 production base terminal, 3 onboard device, 11 communication unit, 12 production related storage unit, 13 transport related storage unit, 14 volumetric floor area prediction unit, 15 arrival / departure time prediction unit, 16 berth usage status prediction unit, 17 Use road determination part, 21 input part, 22 communication part, 31 input part, 32 measurement part, 33 communication part, 34 display part, 100 transport management system, 101 temporary storage part, 102 storage part, 103 calculation part, 104 input Part, 105 external output part, 106 display part, X, Y expressway.

Claims (10)

  1.  輸送対象物が用意される荷積拠点で使用される拠点端末と、前記輸送対象物を輸送する輸送車両に車載される車載装置と、前記輸送車両が自動車専用道路を利用するか否かを決定する輸送管理装置とを備える輸送管理システムであって、
     前記拠点端末は、
     前記輸送対象物の用意が完了する時刻を示す完了時刻情報を取得する完了時刻情報取得部、および、
     前記完了時刻情報を前記輸送管理装置に送信する第1送信部、
     を含み、
     前記車載装置は、
     自身が搭載された前記輸送車両の位置を示す位置情報を取得する位置情報取得部、および、
     前記位置情報を前記輸送管理装置に送信する第2送信部、
     を含み、
     前記輸送管理装置は、
     前記拠点端末から前記完了時刻情報を受信し、前記車載装置から前記位置情報を受信する受信部、
     前記輸送対象物の仕様を示す輸送対象物情報、および、前記輸送対象物の準備計画を示す準備計画情報を記憶する第1記憶部、
     前記輸送車両の積載可能量を示す積載量情報、および、前記荷積拠点を含む拠点の所在地を示す拠点情報を記憶する第2記憶部、
     前記輸送対象物情報、前記準備計画情報および前記完了時刻情報に基づいて、前記荷積拠点において用意される前記輸送対象物の物量を予測して予測物量を算出する物量予測部、
     前記位置情報、前記輸送車両の前記拠点間の運行計画を示す運行計画情報および前記拠点情報に基づいて、前記荷積拠点に到着した前記輸送車両の該拠点からの出発時刻および次の前記拠点への到着時刻を予測して予測出発時刻および予測到着時刻を求め、求めた予測出発時刻および予測到着時刻に基づいて、前記荷積拠点に到着した前記輸送車両の前記運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して前記運行計画情報を更新する発着時刻予測部、
     前記発着時刻予測部が更新した前記運行計画情報に基づいて、それぞれの前記拠点の荷積みおよび荷下ろしを行うバースの使用状況を予測するバース使用状況予測部、ならびに、
     前記積載量情報、前記物量予測部が算出した予測物量、前記発着時刻予測部が更新した前記運行計画情報、および、前記バース使用状況予測部が予測したそれぞれの前記拠点のバースの使用状況に基づいて、前記物量予測部が算出した予測物量が閾値を超えるタイミングがあり、かつ、次の前記拠点までの輸送で自動車専用道路を利用した場合の予測到着時刻に次の前記拠点のバースが空いている場合は、前記荷積拠点に到着した前記輸送車両が次の前記拠点までの輸送で自動車専用道路を利用すると判定し、判定結果を示す判定結果情報を到着した前記輸送車両の前記車載装置に送信する利用道路判定部、
     を含む輸送管理システム。
    Decide whether a base terminal used at a loading base where a transport object is prepared, an in-vehicle device mounted on a transport vehicle that transports the transport target, and whether the transport vehicle uses an automobile-only road A transportation management system comprising a transportation management device for
    The base terminal is
    A completion time information acquisition unit for acquiring completion time information indicating a time at which preparation of the transport object is completed; and
    A first transmitter for transmitting the completion time information to the transportation management device;
    Including
    The in-vehicle device is
    A position information acquisition unit for acquiring position information indicating the position of the transport vehicle on which the vehicle is mounted; and
    A second transmitter for transmitting the position information to the transportation management device;
    Including
    The transportation management device is:
    A receiving unit that receives the completion time information from the base terminal and receives the position information from the in-vehicle device,
    A first storage unit that stores transport object information indicating specifications of the transport object, and preparation plan information indicating a preparation plan of the transport object;
    A second storage unit that stores load amount information indicating a loadable amount of the transport vehicle, and base information indicating a location of a base including the loading base;
    A quantity prediction unit that predicts the quantity of the transportation object prepared at the loading base and calculates a predicted quantity based on the transportation object information, the preparation plan information, and the completion time information.
    Based on the position information, operation plan information indicating an operation plan between the bases of the transport vehicle, and the base information, a departure time from the base of the transport vehicle that has arrived at the loading base and the next base The predicted departure time and the predicted arrival time are obtained by predicting the arrival time of the vehicle, and based on the calculated predicted departure time and the predicted arrival time, to each base of the operation plan of the transport vehicle that has arrived at the loading base Arrival / departure time prediction unit for updating the scheduled operation time and the scheduled departure time from the respective bases to update the operation plan information,
    Based on the operation plan information updated by the arrival / departure time prediction unit, a berth use state prediction unit that predicts use states of berths that perform loading and unloading of the respective bases, and
    Based on the load information, the predicted quantity calculated by the quantity prediction unit, the operation plan information updated by the departure / arrival time prediction unit, and the berth usage status of each base predicted by the berth usage status prediction unit In addition, there is a timing at which the predicted quantity calculated by the quantity prediction unit exceeds a threshold, and a berth at the next base is vacant at a predicted arrival time when a car-only road is used for transportation to the next base. If it is determined that the transport vehicle arriving at the loading base uses an automobile road for transport to the next base, determination result information indicating the determination result is transmitted to the in-vehicle device of the transport vehicle that has arrived. Use road judgment part to send,
    Including transportation management system.
  2.  前記車載装置は、
     自身が搭載された前記輸送車両の状態を示す車両状態情報を取得する車両状態情報取得部、
     をさらに含み、
     前記第2送信部は、前記車両状態情報を前記輸送管理装置にさらに送信し、
     前記受信部は、前記車載装置から前記車両状態情報をさらに受信し、
     前記発着時刻予測部は、前記車両状態情報、前記位置情報、前記運行計画情報、および、前記拠点情報に基づいて、前記荷積拠点に到着した前記輸送車両の該拠点からの出発時刻および次の前記拠点への到着時刻を予測して予測出発時刻および予測到着時刻を求める、
     請求項1に記載の輸送管理システム。
    The in-vehicle device is
    A vehicle state information acquisition unit for acquiring vehicle state information indicating a state of the transport vehicle on which the vehicle is mounted;
    Further including
    The second transmission unit further transmits the vehicle state information to the transportation management device,
    The receiving unit further receives the vehicle state information from the in-vehicle device,
    The departure / arrival time prediction unit is configured to determine a departure time from the base of the transport vehicle that has arrived at the loading base and a next time based on the vehicle state information, the position information, the operation plan information, and the base information. Predicting the arrival time to the base to obtain a predicted departure time and a predicted arrival time,
    The transportation management system according to claim 1.
  3.  前記物量予測部は、前記輸送対象物情報および前記準備計画情報に基づいて、前記完了時刻情報が示す前記輸送対象物の用意が完了した最新の時刻と、準備計画における完了予定時刻との差である実績差を算出し、前記実績差に基づいて、用意未完了の前記輸送対象物の完了予定時刻を調整した調整時刻を求め、用意完了済の前記輸送対象物の完了時刻および用意未完了の前記輸送対象物の調整時刻に、用意が完了する前記輸送対象物の物量が増えるものとして、予測物量を算出する、請求項1または2に記載の輸送管理システム。 Based on the transport object information and the preparation plan information, the quantity prediction unit is configured to calculate a difference between a latest time when the preparation of the transport object indicated by the completion time information is completed and a planned completion time in the preparation plan. A certain actual difference is calculated, and an adjustment time obtained by adjusting the scheduled completion time of the unprepared transportation object is obtained based on the actual difference, and the completion time of the prepared transportation object and the unprepared The transportation management system according to claim 1 or 2, wherein an estimated amount of material is calculated on the assumption that the amount of material of the transportation object to be prepared is increased at the adjustment time of the transportation object.
  4.  前記発着時刻予測部は、前記第2記憶部が記憶する過去の位置情報および前記拠点情報に基づいて、前記荷積拠点に到着した前記輸送車両の該拠点からの予測出発時刻および次の前記拠点への予測到着時刻を求め、求めた予測到着時刻と前記運行計画における到着予定時刻との差である輸送実績差を算出し、前記荷積拠点に到着した前記輸送車両の該拠点からの予測出発時刻および次の前記拠点への予測到着時刻と前記輸送実績差とに基づいて、前記荷積拠点に到着した前記輸送車両の前記運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して前記運行計画情報を更新する、請求項1から3のいずれか1項に記載の輸送管理システム。 The departure / arrival time prediction unit is configured to predict a predicted departure time from the base of the transport vehicle that has arrived at the loading base and the next base based on the past position information and the base information stored in the second storage unit. The estimated arrival time is calculated, and a difference in transportation results, which is the difference between the estimated predicted arrival time and the estimated arrival time in the operation plan, is calculated, and the predicted departure from the base of the transport vehicle that has arrived at the loading base Based on the time and the predicted arrival time at the next base and the difference in the transportation results, the planned arrival time at the base of the operation plan of the transport vehicle that has arrived at the loading base and the base The transportation management system according to any one of claims 1 to 3, wherein the operation plan information is updated by changing a scheduled departure time.
  5.  前記バース使用状況予測部は、前記拠点に到着する前記輸送車両の数が該拠点のバース数を越える場合には、前記運行計画における待機する前記輸送車両の到着予定時刻を先着の前記輸送車両の出発予定時刻に変更し、待機する前記輸送車両の出発予定時刻を到着予定時刻に合わせて変更する処理を、待機する前記輸送車両がなくなるまで繰り返して、前記運行計画情報を更新し、
     前記利用道路判定部は、前記バース使用状況予測部が、前記運行計画情報を更新した場合には、前記積載量情報と、前記物量予測部が算出した予測物量と、前記バース使用状況予測部が更新した前記運行計画情報と、前記バース使用状況予測部が予測したそれぞれの前記拠点のバースの使用状況とに基づいて、前記物量予測部が算出した予測物量が閾値を超えるタイミングがあり、かつ、次の前記拠点までの輸送で自動車専用道路を利用した場合の予測到着時刻に次の前記拠点のバースが空いている場合は、前記荷積拠点に到着した前記輸送車両が次の前記拠点までの輸送で自動車専用道路を利用すると判定する、請求項1から4のいずれか1項に記載の輸送管理システム。
    When the number of transport vehicles arriving at the base exceeds the number of berths at the base, the berth use state prediction unit determines the arrival time of the transport vehicle that is waiting in the operation plan for the first transport vehicle. It changes to the scheduled departure time, repeats the process of changing the scheduled departure time of the transport vehicle waiting to match the estimated arrival time until there is no transport vehicle waiting, and updates the operation plan information,
    In the case where the berth usage state prediction unit updates the operation plan information, the usage road determination unit includes the loading amount information, the predicted amount calculated by the amount prediction unit, and the berth usage state prediction unit. Based on the updated operation plan information and the berth usage status predicted by the berth usage status prediction unit, there is a timing when the predicted quantity calculated by the physical quantity prediction unit exceeds a threshold, and If the berth of the next base is vacant at the predicted arrival time when a motorway is used for transport to the next base, the transport vehicle arriving at the loading base will reach the next base. The transportation management system according to any one of claims 1 to 4, wherein the transportation management system is determined to use an automobile-only road for transportation.
  6.  前記利用道路判定部は、前記輸送車両が前記荷積拠点に到着する時刻の予測物量から、それぞれ到着する前記輸送車両の積載可能量の範囲内の最大量の前記輸送対象物の物量を減算した値が、該拠点に保管可能な前記輸送対象物の上限の値を超えるタイミングがある場合であって、かつ、次の前記拠点までの輸送で自動車専用道路を利用した場合の予測到着時刻に次の前記拠点のバースが空いている場合は、前記荷積拠点に到着した前記輸送車両が次の前記拠点までの輸送で自動車専用道路を利用すると判定する、請求項1から5のいずれか1項に記載の輸送管理システム。 The usage road determination unit subtracts the amount of the transport object of the maximum amount within the range of the loadable amount of the transport vehicle that arrives from the predicted amount of time when the transport vehicle arrives at the loading base. Next to the predicted arrival time when there is a timing when the value exceeds the upper limit value of the transportable object that can be stored at the base, and when an automobile road is used for transport to the next base. When the berth of the said base of vacant is vacant, it determines with the said transportation vehicle which arrived at the said loading base using the automobile exclusive road for the transportation to the said next base. The transportation management system described in.
  7.  前記バース使用状況予測部は、前記拠点に到着する前記輸送車両の数が該拠点のバース数を越える場合には、待機が発生する前記拠点および時間帯を示すバース使用状況情報を生成し、前記車載装置に送信する、請求項1から6のいずれか1項に記載の輸送管理システム。 The berth usage status prediction unit generates berth usage status information indicating the base and time zone in which standby occurs when the number of transport vehicles arriving at the base exceeds the berth number of the base, The transport management system according to any one of claims 1 to 6, wherein the transport management system transmits to an in-vehicle device.
  8.  輸送対象物の用意が完了する時刻を示す完了時刻情報、および、輸送車両の位置を示す位置情報を受信する受信部と、
     前記輸送対象物の仕様を示す輸送対象物情報、および、前記輸送対象物の準備計画を示す準備計画情報を記憶する第1記憶部と、
     前記輸送車両の積載可能量を示す積載量情報、および、前記輸送対象物が用意される荷積拠点を含む拠点の所在地を示す拠点情報を記憶する第2記憶部と、
     前記輸送対象物情報、前記準備計画情報および前記完了時刻情報に基づいて、前記輸送対象物の物量を予測して予測物量を算出する物量予測部と、
     前記位置情報、前記輸送車両の前記拠点間の運行計画を示す運行計画情報および前記拠点情報に基づいて、前記荷積拠点に到着した前記輸送車両の該拠点からの出発時刻および次の前記拠点への到着時刻を予測して予測出発時刻および予測到着時刻を求め、求めた予測出発時刻および予測到着時刻に基づいて、前記拠点に到着した前記輸送車両の前記運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して前記運行計画情報を更新する発着時刻予測部と、
     前記発着時刻予測部が更新した前記運行計画情報に基づいて、それぞれの前記拠点の荷積みおよび荷下ろしを行うバースの使用状況を予測するバース使用状況予測部と、
     前記積載量情報、前記物量予測部が算出した予測物量、前記発着時刻予測部が更新した前記運行計画情報、および、前記バース使用状況予測部が予測したそれぞれの前記拠点のバースの使用状況、ならびに、予め定められている判定基準に基づいて、前記荷積拠点に到着した前記輸送車両が次の前記拠点までの輸送で自動車専用道路を利用するか否かを判定する利用道路判定部と、
     を備える輸送管理装置。
    A reception unit for receiving completion time information indicating a time when preparation of a transport object is completed, and position information indicating a position of the transport vehicle;
    A first storage unit that stores transport object information indicating specifications of the transport object, and preparation plan information indicating a preparation plan of the transport object;
    A second storage unit that stores load amount information indicating a loadable amount of the transport vehicle, and base information indicating a location of a base including a loading base where the transport object is prepared;
    Based on the transport object information, the preparation plan information, and the completion time information, a quantity prediction unit that predicts the quantity of the transport object and calculates a predicted quantity,
    Based on the position information, operation plan information indicating an operation plan between the bases of the transport vehicle, and the base information, a departure time from the base of the transport vehicle that has arrived at the loading base and the next base The estimated departure time and the predicted arrival time are obtained by predicting the arrival time of the vehicle, and the arrival of the transportation vehicle that has arrived at the base is arrived at the base based on the calculated predicted departure time and the predicted arrival time. A departure / arrival time prediction unit for updating the scheduled operation time and the scheduled operation time from each of the bases to update the operation plan information;
    Based on the operation plan information updated by the arrival / departure time prediction unit, a berth use state prediction unit that predicts use states of berths that perform loading and unloading of the respective bases,
    The loading amount information, the predicted amount calculated by the amount prediction unit, the operation plan information updated by the departure / arrival time prediction unit, and the berth usage status of each base predicted by the berth usage status prediction unit, and A use road determination unit that determines whether or not the transport vehicle that has arrived at the loading base uses an automobile-only road for transport to the next base, based on a predetermined determination criterion;
    A transportation management device comprising:
  9.  輸送対象物の物量を予測する物量予測ステップと、
     輸送車両の位置を示す位置情報、前記輸送車両の拠点間の運行計画を示す運行計画情報および複数の前記拠点の位置を示す拠点情報に基づいて、前記拠点に到着した前記輸送車両の該拠点からの出発時刻および次の前記拠点への到着時刻を予測して予測出発時刻および予測到着時刻を求め、求めた予測出発時刻および予測到着時刻に基づいて、前記輸送車両の前記運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して前記運行計画情報を更新する発着時刻予測ステップと、
     前記発着時刻予測ステップで更新した前記運行計画情報に基づいて、それぞれの前記拠点の荷積みおよび荷下ろしを行うバースの使用状況を予測するバース使用状況予測ステップと、
     前記輸送車両の積載可能量を示す積載量情報、前記物量予測ステップで予測した物量、前記発着時刻予測ステップで更新した前記運行計画情報、および、前記バース使用状況予測ステップで予測したバースの使用状況に基づいて、次の前記拠点までの輸送経路として、相対的に低速で低コストの輸送経路および相対的に高速で高コストの輸送経路のいずれを選択するかを判定する利用道路判定ステップと、
     を備える輸送管理方法。
    A quantity prediction step for predicting the quantity of the object to be transported;
    Based on the position information indicating the position of the transport vehicle, the operation plan information indicating the operation plan between the bases of the transport vehicle, and the base information indicating the positions of the plurality of bases, from the base of the transport vehicle arriving at the base The predicted departure time and the predicted arrival time are obtained by predicting the departure time of the vehicle and the next arrival time at the base, and the predicted departure time and the predicted arrival time are obtained. A departure / arrival time prediction step of updating the operation plan information by changing the estimated arrival time to the base and the scheduled departure time from each of the bases;
    Based on the operation plan information updated in the departure / arrival time prediction step, a berth use state prediction step for predicting a berth use state for loading and unloading the respective bases;
    Load capacity information indicating the loadable capacity of the transport vehicle, the quantity predicted in the quantity prediction step, the operation plan information updated in the departure / arrival time prediction step, and the berth use situation predicted in the berth use situation prediction step Based on the use road determination step for determining which of a relatively low-speed and low-cost transport route and a relatively high-speed and high-cost transport route as a transport route to the next base,
    A transportation management method comprising:
  10.  コンピュータに、
     輸送対象物の物量を予測する物量予測ステップ、
     輸送車両の位置を示す位置情報、前記輸送車両の拠点間の運行計画を示す運行計画情報および複数の前記拠点の位置を示す拠点情報に基づいて、前記輸送車両の前記運行計画のそれぞれの前記拠点への到着予定時刻およびそれぞれの前記拠点からの出発予定時刻を変更して前記運行計画情報を更新する発着時刻予測ステップ、
     前記発着時刻予測ステップで更新した前記運行計画情報に基づいて、それぞれの前記拠点の荷積みおよび荷下ろしを行うバースの使用状況を予測するバース使用状況予測ステップ、ならびに、
     前記輸送車両の積載可能量を示す積載量情報、前記物量予測ステップで予測した物量、前記発着時刻予測ステップで更新した前記運行計画情報、および、前記バース使用状況予測ステップで予測したバースの使用状況に基づいて、相対的に低速の輸送経路および相対的に高速の輸送経路のいずれを選択するかを判定する利用道路判定ステップ、
     を実行させるプログラム。
    On the computer,
    A quantity prediction step for predicting the quantity of the object to be transported;
    Each base of the operation plan of the transport vehicle based on position information indicating the position of the transport vehicle, operation plan information indicating an operation plan between bases of the transport vehicle, and base information indicating positions of the plurality of bases A departure / arrival time prediction step of updating the operation plan information by changing the estimated arrival time and the scheduled departure time from each of the bases,
    Based on the operation plan information updated in the departure / arrival time prediction step, a berth use state prediction step for predicting a berth use state for loading and unloading the respective bases, and
    Load capacity information indicating the loadable capacity of the transport vehicle, the quantity predicted in the quantity prediction step, the operation plan information updated in the departure / arrival time prediction step, and the berth use situation predicted in the berth use situation prediction step A road determination step for determining whether to select a relatively low-speed transportation route or a relatively high-speed transportation route based on
    A program that executes
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