WO2016027322A1 - Simulation device and simulation method - Google Patents

Simulation device and simulation method Download PDF

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Publication number
WO2016027322A1
WO2016027322A1 PCT/JP2014/071740 JP2014071740W WO2016027322A1 WO 2016027322 A1 WO2016027322 A1 WO 2016027322A1 JP 2014071740 W JP2014071740 W JP 2014071740W WO 2016027322 A1 WO2016027322 A1 WO 2016027322A1
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WIPO (PCT)
Prior art keywords
delivery
simulation
unit
shipper
divergence
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PCT/JP2014/071740
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French (fr)
Japanese (ja)
Inventor
石橋　尚也
順子 細田
聡士 永原
Original Assignee
株式会社日立製作所
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Application filed by 株式会社日立製作所 filed Critical 株式会社日立製作所
Priority to PCT/JP2014/071740 priority Critical patent/WO2016027322A1/en
Publication of WO2016027322A1 publication Critical patent/WO2016027322A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Definitions

  • the present invention relates to a simulation apparatus.
  • Patent Document 1 states that “the co-distribution server generates shipping instruction data, reads base identification data from the area master, determines a shipping base and a delivery base, and distributes the shipping instruction data to base terminals corresponding to them.
  • the shipping base terminal aggregates the shipping instruction data for each predetermined transport route for each delivery base based on the received shipping instruction data, and sets the destination identification code for the transportation means and the package.
  • the delivery base terminal aggregates the shipping instruction data for each delivery date and for each delivery destination, and generates transportation plan data in which the cargoes of different shippers are stacked by assigning to the key.
  • the delivery plan data is generated by allocating the packages and the packages of different shippers by assigning the packages to the destination identification code as a key”.
  • An object of the present invention is to provide a technique for realizing a delivery contract condition simulation that presents an appropriate contract condition according to a customer's physical quantity record.
  • a simulation apparatus uses a storage unit that stores cost information determined in advance based on a delivery condition of a shipper, and results data including the delivery condition and cost of the shipper.
  • a delivery result data estimation unit that estimates data
  • a revenue content divergence analysis unit that identifies a divergence in revenue contents between the delivery conditions using the actual data on delivery of the shipper and visualizes and displays the divergence
  • a delivery contract condition change simulation executing unit for calculating a cost using the physical quantity data estimated by the delivery result data estimating unit by changing part or all of the delivery conditions.
  • FIG. 1 It is a figure showing the schematic diagram of the simulation system concerning a first embodiment of the present invention. It is a figure which shows the structural example of a delivery performance information storage part. It is a figure which shows the structural example of a delivery master information storage part. It is a figure which shows the structural example of a delivery contract condition memory
  • a delivery contract condition simulation system 1 which is an example of a system functioning as a simulation system to which the first embodiment according to the present invention is applied will be described with reference to the drawings.
  • FIG. 1 is a diagram showing an example of the overall configuration of a delivery contract condition simulation system 1 according to the present invention.
  • the delivery contract condition simulation system 1 includes a delivery contract condition simulation apparatus 100.
  • the delivery contract condition simulation apparatus 100 can communicate with other devices by connecting to a network 50 such as the Internet.
  • the delivery contract condition simulation device 100 includes a control unit 120, a storage unit 130, a communication unit 140, an input unit 150, and an output unit 160.
  • the storage unit 130 includes a delivery record information storage unit 131, a delivery master information storage unit 132, a delivery contract condition information storage unit 133, an order information storage unit 134, and a simulation result information storage unit 135.
  • FIG. 2 is a diagram showing a data structure stored in the delivery record information storage unit 131.
  • a shipper 131a that identifies a shipper who is a shipper of a package
  • a departure place 131b that is a departure point of delivery
  • a destination 131c that is a destination of delivery
  • Transport mode 131d transport company 131e responsible for transport operations
  • departure time 131f for specifying the departure date and time
  • arrival time 131g for specifying the arrival date and time
  • information for specifying the weight of the package A plurality of pieces of information in which the weight 131h is associated with the cost 131k that is information for specifying the cost of delivery are stored.
  • the shipper 131a is, for example, “shipper A”
  • the departure point 131b is, for example, “Narita”
  • the destination 131c is, for example, “Shanghai”
  • the transport mode 131d is, for example, “ship”
  • the transport company 131e is, for example, “ Company A ".
  • the weight 131h is the weight of the luggage indicated by a predetermined unit amount (for example, kilogram).
  • the cost 131k is a predetermined unit charge (for example, 1 million yen) corresponding to the weight shown in the weight 131h.
  • FIG. 3 is a diagram showing a data structure stored in the delivery master information storage unit 132.
  • the delivery master information storage unit 132 includes a transportation company 132a, a departure place 132b, a destination 132c, a transportation mode 132d, a lead time 132e, a basic unit 132f, a unit price 132g, a minimum unit 132h, and a minimum unit price.
  • a plurality of pieces of information associated with 132k are stored.
  • the transportation company 132a is information that identifies a transportation company that is responsible for transportation operations. In the present embodiment, it is assumed that the delivery cost paid by the shipper to the shipping company is a pay-as-you-go system in which a minimum unit price is set in accordance with general customs, but is not limited thereto.
  • the departure place 132b is information specifying the departure place of delivery.
  • the destination 132c is information for specifying a destination for delivery.
  • the transport mode 132d is information for specifying a transport method.
  • the lead time 132e is information for specifying the time taken from departure to arrival.
  • the basic unit 132f is information for specifying the basic unit of the price of the package transportation.
  • the unit price 132g is information (for example, 10,000 yen per kilogram) that specifies the unit price of the transport price for each basic unit.
  • the minimum unit 132h is information (for example, 100 kilograms) that specifies the minimum unit price that specifies the minimum unit of price.
  • the minimum unit price 132k is information for specifying the minimum price (for example, “1”, that is, 1 million yen).
  • FIG. 4 is a diagram showing a data structure stored in the delivery contract condition information storage unit 133.
  • the delivery contract condition information storage unit 133 stores a plurality of pieces of information in which the shipper 133a, the departure point 133b, the destination 133c, the transport company 133d, and the mixed loading permission 133e are associated with each other.
  • the shipper 133a is information that identifies the shipper who is the shipper of the package.
  • the departure place 133b is information for specifying the departure place of delivery.
  • the destination 133c is information for specifying a delivery destination.
  • the transportation company 133d is information that identifies a transportation company that is responsible for transportation operations.
  • the mixed loading permission 133e is information indicating whether or not to permit sharing of a container on which a load is placed with another loader's load.
  • FIG. 5 is a diagram showing a data structure stored in the order information storage unit 134.
  • the order information storage unit 134 stores a plurality of pieces of information in which the shipper 134a, the departure place 134b, the destination 134c, the essential period 134d, and the weight 134e are associated with each other.
  • the shipper 134a is information for identifying a shipper who is a shipper of the package.
  • the departure place 134b is information for specifying the departure place of delivery.
  • the destination 134c is information for specifying a delivery destination.
  • the key period 134d is information for specifying a date for which transportation is required.
  • the weight 134e is information indicating the weight of the package to be transported.
  • FIG. 6 is a diagram showing a data structure stored in the simulation result information storage unit 135.
  • the simulation result information storage unit 135 includes a scenario 135a, a shipper 135b, a departure place 135c, a destination 135d, a transportation mode 135e, a transportation company 135f, a departure time 135g, an arrival time 135h, and a weight 135k.
  • a plurality of pieces of information associated with the cost 135m are stored.
  • the scenario 135a is information for specifying various parameter groups set for the simulation.
  • the shipper 135b is information that identifies the shipper who is the shipper of the package.
  • the departure place 135c is information for specifying the departure place of delivery.
  • the destination 135d is information for specifying a delivery destination.
  • the transport mode 135e is information for specifying a transport method.
  • the transport company 135f is information that identifies a company that is responsible for transport operations.
  • the departure time 135g is information for specifying the date and time of departure.
  • the arrival time 135h is information specifying the date and time of arrival.
  • the weight 135k is information for specifying the weight of the luggage.
  • the cost 135m is information for specifying the cost for delivery.
  • the control unit 120 includes a delivery result data estimation unit 121, a revenue content divergence analysis unit 122, a contract condition change scenario registration unit 123, a delivery contract condition change simulation execution unit 124, a simulation result output unit 125, and a mixed loading plan.
  • a decision simulation unit 126 includes a delivery result data estimation unit 121, a revenue content divergence analysis unit 122, a contract condition change scenario registration unit 123, a delivery contract condition change simulation execution unit 124, a simulation result output unit 125, and a mixed loading plan.
  • a decision simulation unit 126 includes a delivery result data estimation unit 121, a revenue content divergence analysis unit 122, a contract condition change scenario registration unit 123, a delivery contract condition change simulation execution unit 124, a simulation result output unit 125, and a mixed loading plan.
  • the delivery result data estimation unit 121 aggregates values such as cost and lead time using the delivery results of the shipper, and estimates and calculates quantity data such as basic numerical values used as the result values.
  • the revenue content divergence analysis unit 122 analyzes the divergence from the planned revenue content according to the delivery conditions, using the actual value calculated by the delivery result data estimation unit 121. Further, the profit content divergence analysis unit 122 identifies a divergence from the delivery condition for each shipping company, and visualizes and displays the divergence. Further, the profit content divergence analysis unit 122 identifies a divergence from the delivery condition for each predetermined period, and visualizes and displays the divergence.
  • the profit content divergence analysis unit 122 uses the actual data including the delivery condition and the lead time of the shipper to determine the delivery condition in a predetermined period. Visualize and display lead time divergence for the same achievements. Further, the profit content divergence analysis unit 122 visualizes and displays the average lead time for the results with the same delivery condition in a predetermined period for each shipping company using the results data of other shippers.
  • the contract condition change scenario registration unit 123 registers a plurality of scenarios in which some changes have been made regarding the conditions of the delivery contract between the shipper and the delivery company.
  • the delivery contract condition change simulation execution unit 124 changes part or all of the delivery contract conditions, and calculates the cost using the quantity data estimated by the delivery performance data estimation unit 121 using the changed scenario. The simulation of profit is done.
  • the simulation result output unit 125 outputs the result of the simulation performed by the delivery contract condition change simulation execution unit 124.
  • the mixed loading plan determination simulation unit 126 performs a part of the processing by the delivery contract condition change simulation execution unit 124, that is, a simulation process that considers mixed loading with another shipper when mixed loading is permitted. Specifically, the mixed loading plan determination simulation unit 126 permits mixed loading with other shippers in the process of calculating the cost using the quantity data estimated by the delivery result data estimating unit 121. In some cases, the quantity data of other shippers that allow mixed loading is read, and the cost that is less than the minimum unit is added to calculate the cost.
  • the communication unit 140 communicates with other devices via the network 50 such as the Internet.
  • the input unit 150 receives input information from the user.
  • the output unit 160 generates output information such as screen information that is output to the user.
  • the storage unit 130 may be provided in another device connected via the network 50, and the control unit 120 may access information stored in the storage unit 130 via the communication unit 140.
  • FIG. 7 is a diagram showing a hardware configuration of the delivery contract condition simulation apparatus 100.
  • the delivery contract condition simulation device 100 is typically a personal computer device, but is not limited to this, and may be an electronic information terminal such as a smartphone, a mobile phone terminal, or a PDA (Personal Digital Assistant). Further, the delivery contract condition simulation apparatus 100 does not directly access the network 50, but accesses it via a communication network such as a mobile phone carrier by circuit switching or a wireless communication network for data transmission. Also good.
  • the delivery contract condition simulation apparatus 100 includes an arithmetic device 111 such as a CPU, a main storage device 112 such as a memory, an external storage device 113 such as a hard disk (Hard Disk Drive) or SSD (Solid State Drive), and a CD (Compact Disk). ) And DVD (Digital Versatile Disk) and other portable storage media 114D, a reading device 114 that reads and writes electronic data, an input device 115 such as a keyboard and a mouse, an output device 116 such as a display and a printer, and a NIC A communication device 117 such as (Network Interface Card) and a bus connecting them are configured.
  • arithmetic device 111 such as a CPU
  • main storage device 112 such as a memory
  • an external storage device 113 such as a hard disk (Hard Disk Drive) or SSD (Solid State Drive)
  • CD Compact Disk
  • CD Compact Disk
  • DVD Digital Versatile Disk
  • other portable storage media 114D a
  • the communication device 117 is a wired communication device that performs wired communication via a network cable, or a wireless communication device that performs wireless communication via an antenna.
  • the communication device 117 performs communication with other devices connected to the network such as the network 50.
  • the computing device 111 is, for example, a CPU (Central Processing Unit).
  • the main storage device 112 is a memory device such as a RAM (Random Access Memory).
  • the external storage device 113 is a non-volatile storage device such as a so-called hard disk, SSD, or flash memory that can store digital information.
  • the input device 115 is a device that receives input information including a pointing device such as a keyboard and a mouse, or a microphone that is a voice input device.
  • the output device 116 is a device that generates output information including a display, a printer, or a speaker that is an audio output device.
  • the mixed plan determination simulation unit 126 is realized by a program that causes the arithmetic device 111 to perform processing. This program is stored in the main storage device 112, the external storage device 113, or the portable storage medium 114D, loaded onto the main storage device 112 for execution, and executed by the arithmetic device 111.
  • the storage unit 130 is realized by the main storage device 112 and the external storage device 113.
  • the communication unit 140 is realized by the communication device 117.
  • the input unit 150 is realized by the input device 115.
  • the output unit 160 is realized by the output device 116.
  • the above is the hardware configuration example of the delivery contract condition simulation system 1 in this embodiment.
  • the configuration is not limited to this, and other hardware may be used.
  • the stand-alone delivery contract condition simulation apparatus 100 that is not connected to the network 50 may be used.
  • each storage unit stored in the storage unit 130 may update information by crawling and collecting information stored in another server device or an external storage device connected to the network 50. Alternatively, it may be updated by receiving data from the supplier.
  • FIG. 8 is an overall process flow diagram of the simulation process executed by the delivery contract condition simulation apparatus 100 according to the present embodiment.
  • the simulation process is started when a process start instruction is received from a user while the delivery contract condition simulation apparatus 100 is activated.
  • the delivery record data estimation unit 121 acquires a record value including the cost and the lead time using the delivery record of the shipper (step S001). Specifically, the delivery record data estimation unit 121 identifies the record in which the shipper 131a corresponds to the shipper from the delivery record information storage unit 131, and reads the record.
  • the revenue content divergence analysis unit 122 outputs a revenue evaluation divergence analysis screen in order to compare the contract conditions between the shipper and the delivery company with the actual delivery (step S002). Specifically, the revenue content divergence analysis unit 122 determines the contract condition and actual value between the shipper and the delivery company, for example, the prior arrangement of the weight and cost of the package, and the actual value of the actual package weight and cost. Are arranged on a coaxial graph, and a screen for easily visualizing the difference between the actual results and the contract is constructed.
  • the contract condition change scenario registration unit 123 reads the contract condition with the shipper and registers it as an editable contract condition change scenario (step S003). Specifically, the contract condition change scenario registration unit 123 reads out the contract conditions with the shipper, receives a change in part or all of the contract conditions, sets it as a new scenario, and sends it to the delivery contract condition change simulation execution unit 124. Deliver.
  • the delivery contract condition change simulation execution unit 124 registers the edited contract condition change scenario, and performs a simulation with the delivery contract condition changed for each scenario (step S004). Specifically, the delivery contract condition change simulation execution unit 124 performs a profit calculation for each scenario delivered in step S003. The delivery contract condition change simulation execution unit 124 stores the result of the calculated profit calculation in the simulation result information storage unit 135 for each scenario.
  • the mixed loading plan determination simulation unit 126 performs a process of simulating a plan for mixed loading permission.
  • the simulation result output part 125 displays a simulation result for every scenario (step S005). Specifically, the simulation result output unit 125 reads out the result information from the simulation result information storage unit 135, and configures and outputs a screen to be displayed.
  • the above is the overall processing flow of the simulation process. According to this flow, it is easy to understand the difference between the contract conditions and the actual results, and it is easy to simulate the scenario with changed conditions. It is possible to implement seamlessly up to the change.
  • FIG. 9 is a diagram showing an operation flow of the result acquisition process.
  • the result acquisition process is a process performed in step S001 of the simulation process.
  • the delivery record data estimation unit 121 reads delivery record information (step S101). Specifically, the delivery record data estimation unit 121 reads all information stored in the delivery record information storage unit 131.
  • the delivery result data estimation unit 121 classifies the result values according to the combination of the departure place, the destination, the transport mode, and the transport company for each shipper (step S102). Specifically, the delivery record data estimation unit 121 reads out the combination of the departure place, the destination, the transportation mode, and the transportation company for each shipper without duplication.
  • the delivery performance data estimation part 121 reads a performance value for every classification (step S103). Specifically, the delivery result data estimation unit 121 reads and records the lead time, cost, and weight as actual values for each combination of departure place, destination, transport mode, and transport company for each shipper read in step S102. To do.
  • the lead time is a difference obtained by subtracting the departure time 131f from the arrival time 131g.
  • the delivery record data estimation unit 121 illustrates the information based on the provision of the delivery master and the information based on the record so as to be comparable (step S104). Specifically, the delivery result data estimation unit 121 uses a scatter diagram in which one of the results value classifications read in step S103 is provided with predetermined two axes (for example, weight on the horizontal axis and cost on the vertical axis). Create the display information plotted on the graph shown. Then, the delivery record data estimation unit 121 reads from the delivery master information storage unit 132 a record in which the classified transportation company, transportation mode, departure place, and destination match.
  • the delivery record data estimation unit 121 generates a graph indicating the minimum unit 132h, the minimum unit price 132k, and the unit price 132g, and superimposes the graph on the graph included in the display information. Then, the delivery result data estimation unit 121 causes the output unit 160 to output the generated information.
  • the above is the process flow of the results acquisition process. According to the result acquisition process, it is possible to easily visualize and compare the plan according to the initial contract condition and the actual value.
  • FIG. 10 is a diagram illustrating a configuration example of a physical quantity result data screen that is an output result of the actual result acquisition process.
  • the physical quantity result data screen 1000 is output in step S104 of the result acquisition process.
  • the physical quantity result data screen 1000 includes a graph display area 1001, a total target start input area 1002A, a total target end input area 1002B, a shipper input area 1002C, a shipping company input area 1002D, a departure place input area 1002E, a purpose A ground input area 1002F, an analysis condition input area 1002G, a divergence analysis execution instruction reception area 1003A, a redisplay instruction reception area 1003B, and an end instruction reception area 1003C are included.
  • the graph display area 1001 an axis indicating weight on the horizontal axis and cost indicating the cost on the vertical axis is provided, and a scatter diagram showing the results of the weight and cost totaled for each departure place, destination, transportation mode, and transportation company is displayed.
  • the In the graph display area 1001 a delivery master line that satisfies the minimum unit 132h, the minimum unit price 132k, and the unit price 132g read from the delivery master information storage unit 132 is shown.
  • the redisplay instruction receiving area 1003B when receiving the input, is a classification including information input in the shipper input area 1002C, the transport company input area 1002D, the departure place input area 1002E, and the destination input area 1002F. , A scatter diagram is generated for the period determined by the aggregation target start input area 1002A and the aggregation target end input area 1002B and is displayed again.
  • the end instruction receiving area 1003C ends the physical quantity result data screen 1000.
  • the deviation analysis execution instruction receiving area 1003A When receiving the input, the deviation analysis execution instruction receiving area 1003A relates to a classification including information input to the shipper input area 1002C, the shipping company input area 1002D, the departure place input area 1002E, and the destination input area 1002F.
  • the revenue content divergence analysis unit 122 is started using the condition input to the analysis condition input area 1002G for the period of time determined by the aggregation target start input area 1002A and the aggregation target end input area 1002B. .
  • the revenue content deviation analysis unit 122 when “transportation company” is input in the analysis condition input area 1002G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by transportation company) 1100 shown in FIG.
  • the profit content deviation analysis unit 122 when “mixed total” is input to the analysis condition input area 1002G, the profit content deviation analysis unit 122 generates a profit content deviation analysis screen (mixed total) 1100 shown in FIG.
  • FIG. 11 is a diagram showing a configuration example of a weight-based profit content deviation analysis screen (by transport company).
  • the revenue content deviation analysis screen (by shipping company) 1100 includes a graph display area 1101, an analysis target condition display area 1102, and a return instruction receiving area 1103.
  • the analysis target condition display area 1102 displays conditions such as a shipper, a departure place, and a destination which are conditions for analyzing the difference in profit contents.
  • the return instruction receiving area 1103 returns the display to the physical quantity result data screen 1000 when receiving the input.
  • a graph that can indicate the divergence of the profit contents is displayed. For example, weight is set on the horizontal axis of the graph display area 1101, cost is set on the vertical axis, actual values are plotted, and a line indicating a delivery master for each shipping company is displayed. As a result, it can be said that, with the actual load, for example, if another transportation company is used, the possibility that the cost can be suppressed can be easily visually perceived.
  • FIG. 12 is a diagram showing a configuration example of a weight-based revenue content divergence analysis screen (consolidated total).
  • the revenue content divergence analysis screen (consolidated total) 1200 includes a graph display area 1201, an analysis target condition display area 1202, and a return instruction reception area 1203. Among these, in the analysis target condition display area 1202, conditions such as a shipper, a departure place, and a destination that are conditions for analyzing the divergence of the profit contents are displayed. When receiving an input, the return instruction receiving area 1203 returns the display to the physical quantity result data screen 1000.
  • a graph that can indicate the divergence of the profit contents is displayed. For example, the period (day) is set on the horizontal axis of the graph display area 1201, the weight is set on the vertical axis, and the weight when the load is mixed with the same departure point and destination baggage as other shippers that can be mixedly loaded is Each is graphed.
  • a line indicating the minimum unit of the corresponding transportation company is displayed.
  • FIG. 13 is a diagram illustrating a configuration example of a physical distribution result data screen that is an output result of the actual result acquisition process.
  • the distribution result data screen 1300 is output in step S104 of the result acquisition process.
  • the distribution result data screen 1300 includes a graph display area 1301, a total target start input area 1302A, a total target end input area 1302B, a shipper input area 1302C, a shipping company input area 1302D, a departure place input area 1302E, a purpose A ground input area 1302F, an analysis condition input area 1302G, a divergence analysis execution instruction reception area 1303A, a redisplay instruction reception area 1303B, and an end instruction reception area 1303C are included.
  • the re-display instruction receiving area 1303B when receiving the input, is a classification including information input in the shipper input area 1302C, the shipping company input area 1302D, the departure place input area 1302E, and the destination input area 1302F. , A histogram is generated for the period determined by the total target start input area 1302A and the total target end input area 1302B, and is redisplayed.
  • the end instruction receiving area 1303C ends the physical distribution result data screen 1300.
  • the deviation analysis execution instruction receiving area 1303A When receiving the input, the deviation analysis execution instruction receiving area 1303A relates to the classification including the information input in the shipper input area 1302C, the transportation company input area 1302D, the departure place input area 1302E, and the destination input area 1302F.
  • the revenue content divergence analysis unit 122 is started using the conditions input to the analysis condition input area 1302G for the period of time determined by the aggregation target start input area 1302A and the aggregation target end input area 1302B. .
  • the revenue content deviation analysis unit 122 when “by year” is input to the analysis condition input area 1302G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by year) 1400 shown in FIG. Further, for example, when “by transportation company” is input to the analysis condition input area 1302G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by transportation company) 1500 shown in FIG.
  • FIG. 14 is a diagram showing a configuration example of a lead time base profit content divergence analysis screen (by year).
  • the revenue content divergence analysis screen (by year) 1400 includes a graph display area 1401, an analysis target condition display area 1402, and a return instruction reception area 1403.
  • the analysis target condition display area 1402 displays conditions such as a shipper, a departure place, and a destination, which are conditions for analyzing the divergence of the profit contents.
  • the return instruction reception area 1403 returns the display to the physical distribution result data screen 1300 when the input is received.
  • a graph that can indicate the divergence of the profit contents is displayed.
  • a lead time (day) is set on the horizontal axis of the graph display area 1401
  • a ratio is set on the vertical axis, and the actual values are displayed in a histogram by year.
  • FIG. 15 is a diagram showing a configuration example of a lead time base profit content deviation analysis screen (by transportation company).
  • the revenue content deviation analysis screen (by shipping company) 1500 includes a graph display area 1501, an analysis target condition display area 1502, and a return instruction reception area 1503.
  • the analysis target condition display area 1502 displays conditions such as a shipper, a departure place, and a destination, which are conditions for analyzing the divergence of the profit contents.
  • the return instruction reception area 1503 returns the display to the physical distribution result data screen 1300 when the input is received.
  • a graph that can indicate the divergence of the profit contents is displayed.
  • a lead time (day) is set on the horizontal axis of the graph display area 1501
  • a ratio is set on the vertical axis, which are displayed in parallel with the average lead time of other transport companies for transport in the same section.
  • FIG. 16 is a diagram showing a part of the simulation process when mixed loading is permitted. Specifically, FIG. 16 is a diagram illustrating a flow of a process for reflecting a change in the mixed loading condition in a simulation process performed when the mixed loading condition is relaxed.
  • the contract condition change scenario registering unit 123 registers a scenario that enables mixed loading for the target shipper (step S201). Specifically, the contract condition change scenario registration unit 123 reads the delivery contract condition information storage unit 133 and generates a scenario in which “No” is set to “Yes” for the mixed loading permission 133e among the contract condition change parameters. sign up.
  • the mixed loading plan determination simulation unit 126 extracts the data of another shipper who can perform the mixed loading from the delivery result information and the delivery contract condition information, and has the same starting point, destination, and transportation company, and weights it by day.
  • the mixed loading plan determination simulation unit 126 refers to the delivery contract condition information storage unit 133, and mixed loading permission 133 e regarding another shipper having the same starting point, the same destination, and the same transportation company. The shipper whose is “Yes” is extracted.
  • the mixed loading plan determination simulation unit 126 refers to the delivery record information storage unit 131, extracts the extracted record value of the shipper, and totals the weights by day.
  • the mixed loading plan determination simulation unit 126 multiplies the minimum unit price by the ratio (weight of the corresponding shipper / total weight), and in the case of mixed loading. Calculate the shipper's price.
  • the mixed loading plan determination simulation unit 126 multiplies the unit price, the total weight, and the ratio (weight / total weight of the corresponding shipper) to determine the price of the shipper in the case of mixed loading ( (Cost) is calculated (step S203).
  • the simulation result output unit 125 outputs the mixed loading result (cost) (step S204). Specifically, the simulation result output unit 125 generates and outputs a simulation result list screen 1800 using the price (cost) of the shipper obtained as a result of the process of step S203. The simulation result output unit 125 also stores the same mixed loading result in the simulation result information storage unit 135.
  • the above is the flow for processing to reflect the change of the mixed loading conditions.
  • registration for changing the mixed loading condition is made as a simulation scenario, and the cost calculation in the case of mixed loading can be realized in a part of the simulation process.
  • FIG. 17 is a diagram of the contract condition change parameter screen.
  • the contract condition change parameter screen 1700 is a screen on which a scenario registered in the contract condition change simulation is displayed.
  • the contract condition change parameter screen 1700 includes a contract condition change parameter display area 1701 and an execution instruction reception area 1703.
  • the contract condition change parameter display area 1701 displays a plurality of selectable scenarios in which a group of parameters such as a shipper, a departure place, a destination, a transportation company, and a mixed loading flag is selected.
  • the execution instruction receiving area 1703 When receiving the input, the execution instruction receiving area 1703 starts execution of the scenario selected in the contract condition change parameter display area 1701.
  • the scenario execution process is realized by the delivery contract condition change simulation execution unit 124 and the mixed loading plan determination simulation unit 126 in the case of a scenario in which the permission for mixed loading is changed using predetermined logic.
  • FIG. 18 is a diagram of a simulation result list screen.
  • the simulation result list screen 1800 is a screen on which a simulation result is displayed for each scenario executed in the contract condition change simulation.
  • the simulation result list screen 1800 includes a simulation detail display area 1801 and a graph display instruction reception area 1803.
  • the simulation detail display area 1801 includes the simulation conditions and the cost calculation result obtained by the simulation.
  • simulation results for each scenario are displayed in a list format. For example, for each scenario, information on shipper, departure place, destination, transportation mode, transportation company, departure time, arrival time, weight, and cost is listed.
  • the graph display instruction receiving area 1803 causes the simulation result output unit 125 to start a process of displaying a cost graph for each scenario.
  • the simulation result output unit 125 outputs a bar graph indicating the cost for each scenario.
  • FIG. 19 is a diagram of a simulation result graph.
  • a balance breakdown 1901 of simulation results is displayed for each scenario executed in the contract condition change simulation.
  • an end instruction receiving area 1902 for performing processing for displaying the simulation result list screen 1800 is displayed.
  • the delivery contract condition simulation system 1 to which the first embodiment according to the present invention is applied has been described with reference to the drawings. According to the first embodiment, even if there is a lack of examination in the estimation of the delivery contract condition, it is possible to easily analyze the divergence, and it is possible to deliver with a cheaper delivery condition.
  • the present invention is not limited to the first embodiment described above.
  • the first embodiment described above can be variously modified within the scope of the technical idea of the present invention.
  • the transition of the screen is not limited to the first embodiment, and may be a transition of different flows on different screens. By doing so, it becomes easy to perform trial and error, and it is possible to make the simulation more precise.
  • the delivery contract condition change simulation execution unit 124 generates a brute force combination and performs a simulation process according to each scenario, and generates a scenario that minimizes the mixed loading plan determination cost. It may be specified and presented as a proposal.
  • the present invention is not limited to the above-described embodiment, and includes various other modifications.
  • the configuration is described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one having all the configurations described.
  • a part of the configuration of an embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of an embodiment.
  • each of the above-described configurations, functions, processing units, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit.
  • control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.
  • DESCRIPTION OF SYMBOLS 1 ... Delivery contract condition simulation system, 50 ... Network, 100 ... Delivery contract condition simulation apparatus, 120 ... Control part, 121 ... Delivery performance data estimation part, 122 ... Dividing profit contents Analysis unit, 123... Contract condition change scenario registration unit, 124... Delivery contract condition change simulation execution unit, 125... Simulation result output unit, 126. , 131... Delivery result information storage unit, 132... Delivery master information storage unit, 133... Delivery contract condition storage unit, 134 .. order information storage unit, 135.
  • 140 Communication unit, 150 ... Input unit, 160 ... Output unit

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Abstract

The purpose of the present invention is to provide a technique for achieving a shipping contract condition simulation for offering appropriate contract conditions in accordance with past shipping volume of a customer. The simulation device according to the present invention is provided with: a storage unit which stores cost information that is predetermined based on shipping conditions for shippers; a past shipping data estimation unit which estimates shipping volume data of a shipper by use of past record data that includes shipping conditions for the shipper and the resulting costs; an earnings result gap analysis unit which identifies the gap between shipping conditions and the resulting earnings on the basis of past shipping data of the shipper and visualizes and displays this gap; and a unit for changing shipping contract conditions and executing simulation, which changes some or all of the shipping conditions, and calculates costs on the basis of the changed shipping conditions using the shipping volume data estimated by the past shipping data estimation unit.

Description

シミュレーション装置、シミュレーション方法Simulation apparatus and simulation method
　本発明は、シミュレーション装置に関する。 The present invention relates to a simulation apparatus.
　特許文献１には、「共配サーバは、出荷指示データを生成すると共に、エリアマスタから拠点識別データを読み出して出荷拠点及び配達拠点を決定し、それらと対応する拠点端末に出荷指示データを振り分けて一斉に配信する。一方、出荷拠点端末は、受信した出荷指示データに基づいて、配達拠点方面別の所定輸送ルート毎に出荷指示データを集約すると共に、運送手段と荷物とを届け先識別コードをキーに割り付けて異なる荷主の荷物を積み合わせる輸送計画データを生成し、同時に、配達拠点端末は、配達日単位で、且つ届け先方面毎に所定配送ルート別に出荷指示データを集約すると共に、運送手段と荷物とを届け先識別コードをキーに割り付けて異なる荷主の荷物を積み合わせる配送計画データを生成する」との記載がある。 Patent Document 1 states that “the co-distribution server generates shipping instruction data, reads base identification data from the area master, determines a shipping base and a delivery base, and distributes the shipping instruction data to base terminals corresponding to them. On the other hand, the shipping base terminal aggregates the shipping instruction data for each predetermined transport route for each delivery base based on the received shipping instruction data, and sets the destination identification code for the transportation means and the package. At the same time, the delivery base terminal aggregates the shipping instruction data for each delivery date and for each delivery destination, and generates transportation plan data in which the cargoes of different shippers are stacked by assigning to the key. There is a description that “the delivery plan data is generated by allocating the packages and the packages of different shippers by assigning the packages to the destination identification code as a key”.
特開２００５－７５６３４号公報JP 2005-75634 A
　上記技術においては、荷物の送り主である荷主より受注を受けて、配送時に荷物の集約を行うことで低コストな配送計画を立案することが可能である。しかし、荷主の初期の契約条件で配送計画を立案することとなるため、配送契約条件の見積もりに検討不足がある場合、他の輸送会社であれば安価な配送条件で配送できるにも関わらず、より高価な配送条件で配送してしまうおそれがある。 In the above technology, it is possible to formulate a low-cost delivery plan by receiving orders from the shipper who is the package sender and consolidating the packages at the time of delivery. However, since the delivery plan will be drafted under the initial contractual conditions of the shipper, if there is a lack of consideration in the estimation of the delivery contract conditions, other shipping companies will be able to deliver with inexpensive delivery conditions, There is a risk of delivery under more expensive delivery conditions.
　本発明の目的は、顧客の物量実績に応じた適切な契約条件を提示する配送契約条件シミュレーションを実現する技術を提供することにある。 An object of the present invention is to provide a technique for realizing a delivery contract condition simulation that presents an appropriate contract condition according to a customer's physical quantity record.
　本願は、上記課題の少なくとも一部を解決する手段を複数含んでいるが、その例を挙げるならば、以下のとおりである。上記課題を解決すべく、本発明に係るシミュレーション装置は、荷主の配送条件に基づき予め定められたコスト情報を記憶する記憶部と、上記荷主の配送条件とコストとを含む実績データを用いて物量データを推定する配送実績データ推定部と、前記荷主の配送に関する実績データを用いて、上記配送条件との間の収益内容についての乖離を特定し、乖離を可視化して表示する収益内容乖離解析部と、上記配送条件を一部または全部変更して、上記配送実績データ推定部が推定した上記物量データを用いてコストを計算する配送契約条件変更シミュレーション実行部と、を備える。 The present application includes a plurality of means for solving at least a part of the above-described problems, and examples thereof are as follows. In order to solve the above-described problem, a simulation apparatus according to the present invention uses a storage unit that stores cost information determined in advance based on a delivery condition of a shipper, and results data including the delivery condition and cost of the shipper. A delivery result data estimation unit that estimates data, and a revenue content divergence analysis unit that identifies a divergence in revenue contents between the delivery conditions using the actual data on delivery of the shipper and visualizes and displays the divergence And a delivery contract condition change simulation executing unit for calculating a cost using the physical quantity data estimated by the delivery result data estimating unit by changing part or all of the delivery conditions.
　本発明によると、顧客の物量実績に応じた適切な契約条件を提示する配送契約条件シミュレーションを実現することができる。上記した以外の課題、構成及び効果は、以下の実施形態の説明により明らかにされる。 According to the present invention, it is possible to realize a delivery contract condition simulation that presents an appropriate contract condition according to a customer's physical quantity record. Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.
本発明の第一の実施形態に係るシミュレーションシステムの概略図を示す図である。It is a figure showing the schematic diagram of the simulation system concerning a first embodiment of the present invention. 配送実績情報記憶部の構成例を示す図である。It is a figure which shows the structural example of a delivery performance information storage part. 配送マスタ情報記憶部の構成例を示す図である。It is a figure which shows the structural example of a delivery master information storage part. 配送契約条件記憶部の構成例を示す図である。It is a figure which shows the structural example of a delivery contract condition memory | storage part. 受注情報記憶部の構成例を示す図である。It is a figure which shows the structural example of an order information storage part. シミュレーション結果情報記憶部の構成例を示す図である。It is a figure which shows the structural example of a simulation result information storage part. 配送契約条件シミュレーション装置のハードウェア構成を示す図である。It is a figure which shows the hardware constitutions of a delivery contract condition simulation apparatus. シミュレーション処理の動作フローを示す図である。It is a figure which shows the operation | movement flow of a simulation process. 実績取得処理の動作フローを示す図である。It is a figure which shows the operation | movement flow of a performance acquisition process. 実績取得処理の出力結果である物量実績データ画面の構成例を示す図である。It is a figure which shows the structural example of the physical quantity results data screen which is an output result of a results acquisition process. 重量ベースの収益内容乖離解析画面（輸送会社別）の構成例を示す図である。It is a figure which shows the structural example of the weight-based profit content deviation analysis screen (by transportation company). 重量ベースの収益内容乖離解析画面（混載集計）の構成例を示す図である。It is a figure which shows the structural example of the profit content divergence analysis screen (consolidated total) of weight base. 実績取得処理の出力結果である物流実績データ画面の構成例を示す図である。It is a figure which shows the structural example of the distribution performance data screen which is an output result of a performance acquisition process. リードタイムベースの収益内容乖離解析画面（年別）の構成例を示す図である。It is a figure which shows the structural example of the profit content divergence analysis screen (by year) of a lead time base. リードタイムベースの収益内容乖離解析画面（輸送会社別）の構成例を示す図である。It is a figure which shows the structural example of the profit content deviation analysis screen (by transportation company) of a lead time base. 混載を許容する場合のシミュレーション処理の一部を示す図である。It is a figure which shows a part of simulation process in the case of accept | permitting mixed loading. 契約条件変更パラメータ画面の図である。It is a figure of a contract condition change parameter screen. シミュレーション結果リスト画面の図である。It is a figure of a simulation result list screen. シミュレーション結果グラフの図である。It is a figure of a simulation result graph.
　以下に、本発明に係る第一の実施形態を適用したシミュレーションシステムとして機能するシステムの一例である配送契約条件シミュレーションシステム１について、図面を参照して説明する。 Hereinafter, a delivery contract condition simulation system 1 which is an example of a system functioning as a simulation system to which the first embodiment according to the present invention is applied will be described with reference to the drawings.
　図１は、本発明に係る配送契約条件シミュレーションシステム１の全体の構成例を示す図である。配送契約条件シミュレーションシステム１には、配送契約条件シミュレーション装置１００が含まれ、配送契約条件シミュレーション装置１００はインターネット等のネットワーク５０と接続して他の装置と通信することが可能である。配送契約条件シミュレーション装置１００は、制御部１２０と、記憶部１３０と、通信部１４０と、入力部１５０と、出力部１６０と、を含んで構成される。 FIG. 1 is a diagram showing an example of the overall configuration of a delivery contract condition simulation system 1 according to the present invention. The delivery contract condition simulation system 1 includes a delivery contract condition simulation apparatus 100. The delivery contract condition simulation apparatus 100 can communicate with other devices by connecting to a network 50 such as the Internet. The delivery contract condition simulation device 100 includes a control unit 120, a storage unit 130, a communication unit 140, an input unit 150, and an output unit 160.
　記憶部１３０には、配送実績情報記憶部１３１と、配送マスタ情報記憶部１３２と、配送契約条件情報記憶部１３３と、受注情報記憶部１３４と、シミュレーション結果情報記憶部１３５と、が含まれる。 The storage unit 130 includes a delivery record information storage unit 131, a delivery master information storage unit 132, a delivery contract condition information storage unit 133, an order information storage unit 134, and a simulation result information storage unit 135.
　図２は、配送実績情報記憶部１３１に格納されるデータ構造を示す図である。配送実績情報記憶部１３１には、荷物の発送主である荷主を特定する荷主１３１ａと、配送の出発地である出発地１３１ｂと、配送の目的地である目的地１３１ｃと、輸送の方法を特定する輸送モード１３１ｄと、輸送業務を担う輸送会社１３１ｅと、出発した日と時刻とを特定する出発時刻１３１ｆと、到着した日と時刻とを特定する到着時刻１３１ｇと、荷物の重量を特定する情報である重量１３１ｈと、配送にかかった費用を特定する情報であるコスト１３１ｋと、が対応付けられた情報が複数記憶される。 FIG. 2 is a diagram showing a data structure stored in the delivery record information storage unit 131. As shown in FIG. In the delivery record information storage unit 131, a shipper 131a that identifies a shipper who is a shipper of a package, a departure place 131b that is a departure point of delivery, a destination 131c that is a destination of delivery, and a transportation method are specified. Transport mode 131d, transport company 131e responsible for transport operations, departure time 131f for specifying the departure date and time, arrival time 131g for specifying the arrival date and time, and information for specifying the weight of the package A plurality of pieces of information in which the weight 131h is associated with the cost 131k that is information for specifying the cost of delivery are stored.
　荷主１３１ａは、例えば、「荷主Ａ」であり、出発地１３１ｂは、例えば「成田」、目的地１３１ｃは、例えば「上海」、輸送モード１３１ｄは、例えば「船」、輸送会社１３１ｅは、例えば「会社Ａ」である。また、重量１３１ｈは所定の単位量（例えば、キログラム）により示される荷物の重量である。また、コスト１３１ｋは重量１３１ｈに示された重量に応じた所定の単位の料金（例えば１００万円）である。 The shipper 131a is, for example, “shipper A”, the departure point 131b is, for example, “Narita”, the destination 131c is, for example, “Shanghai”, the transport mode 131d is, for example, “ship”, and the transport company 131e is, for example, “ Company A ". The weight 131h is the weight of the luggage indicated by a predetermined unit amount (for example, kilogram). The cost 131k is a predetermined unit charge (for example, 1 million yen) corresponding to the weight shown in the weight 131h.
　図３は、配送マスタ情報記憶部１３２に格納されるデータ構造を示す図である。配送マスタ情報記憶部１３２には、輸送会社１３２ａと、出発地１３２ｂと、目的地１３２ｃと、輸送モード１３２ｄと、リードタイム１３２ｅと、原単位１３２ｆと、単価１３２ｇと、最小単位１３２ｈと、最少単価１３２ｋと、が対応付けられた情報が複数記憶される。輸送会社１３２ａは、輸送業務を担う輸送会社を特定する情報である。なお、本実施形態においては、荷主が輸送会社に支払う配送費用は、一般的な慣習に従い、最少単価が設定された従量制であることを想定しているが、これに限られるものではない。 FIG. 3 is a diagram showing a data structure stored in the delivery master information storage unit 132. The delivery master information storage unit 132 includes a transportation company 132a, a departure place 132b, a destination 132c, a transportation mode 132d, a lead time 132e, a basic unit 132f, a unit price 132g, a minimum unit 132h, and a minimum unit price. A plurality of pieces of information associated with 132k are stored. The transportation company 132a is information that identifies a transportation company that is responsible for transportation operations. In the present embodiment, it is assumed that the delivery cost paid by the shipper to the shipping company is a pay-as-you-go system in which a minimum unit price is set in accordance with general customs, but is not limited thereto.
　出発地１３２ｂは、配送の出発地を特定する情報である。目的地１３２ｃは、配送の目的地を特定する情報である。輸送モード１３２ｄは、輸送の方法を特定する情報である。リードタイム１３２ｅは、出発から到着までにかかる時間を特定する情報である。原単位１３２ｆは、荷物の輸送の価格の原単位を特定する情報である。単価１３２ｇは、原単位ごとの輸送の価格の単価を特定する情報（例えば、１キログラムあたり１万円）である。最小単位１３２ｈは、価格の最小単位を特定する最少単価を特定する情報（例えば、１００キログラム）である。最少単価１３２ｋは、価格の最少額（例えば、「１」すなわち１００万円）を特定する情報である。 The departure place 132b is information specifying the departure place of delivery. The destination 132c is information for specifying a destination for delivery. The transport mode 132d is information for specifying a transport method. The lead time 132e is information for specifying the time taken from departure to arrival. The basic unit 132f is information for specifying the basic unit of the price of the package transportation. The unit price 132g is information (for example, 10,000 yen per kilogram) that specifies the unit price of the transport price for each basic unit. The minimum unit 132h is information (for example, 100 kilograms) that specifies the minimum unit price that specifies the minimum unit of price. The minimum unit price 132k is information for specifying the minimum price (for example, “1”, that is, 1 million yen).
　図４は、配送契約条件情報記憶部１３３に格納されるデータ構造を示す図である。配送契約条件情報記憶部１３３には、荷主１３３ａと、出発地１３３ｂと、目的地１３３ｃと、輸送会社１３３ｄと、混載許可１３３ｅと、が対応付けられた情報が複数記憶される。荷主１３３ａは、荷物の発送主である荷主を特定する情報である。 FIG. 4 is a diagram showing a data structure stored in the delivery contract condition information storage unit 133. As shown in FIG. The delivery contract condition information storage unit 133 stores a plurality of pieces of information in which the shipper 133a, the departure point 133b, the destination 133c, the transport company 133d, and the mixed loading permission 133e are associated with each other. The shipper 133a is information that identifies the shipper who is the shipper of the package.
　出発地１３３ｂは、配送の出発地を特定する情報である。目的地１３３ｃは、配送の目的地を特定する情報である。輸送会社１３３ｄは、輸送業務を担う輸送会社を特定する情報である。混載許可１３３ｅは、他の荷主の荷物との間で、荷物を載せるコンテナを共有することを許可するか否かを示す情報である。 The departure place 133b is information for specifying the departure place of delivery. The destination 133c is information for specifying a delivery destination. The transportation company 133d is information that identifies a transportation company that is responsible for transportation operations. The mixed loading permission 133e is information indicating whether or not to permit sharing of a container on which a load is placed with another loader's load.
　図５は、受注情報記憶部１３４に格納されるデータ構造を示す図である。受注情報記憶部１３４には、荷主１３４ａと、出発地１３４ｂと、目的地１３４ｃと、要期１３４ｄと、重量１３４ｅと、が対応付けられた情報が複数記憶される。 FIG. 5 is a diagram showing a data structure stored in the order information storage unit 134. The order information storage unit 134 stores a plurality of pieces of information in which the shipper 134a, the departure place 134b, the destination 134c, the essential period 134d, and the weight 134e are associated with each other.
　荷主１３４ａは、荷物の発送主である荷主を特定する情報である。出発地１３４ｂは、配送の出発地を特定する情報である。目的地１３４ｃは、配送の目的地を特定する情報である。要期１３４ｄは、輸送の要求される期日を特定する情報である。重量１３４ｅは、輸送対象の荷物の重量を示す情報である。 The shipper 134a is information for identifying a shipper who is a shipper of the package. The departure place 134b is information for specifying the departure place of delivery. The destination 134c is information for specifying a delivery destination. The key period 134d is information for specifying a date for which transportation is required. The weight 134e is information indicating the weight of the package to be transported.
　図６は、シミュレーション結果情報記憶部１３５に格納されるデータ構造を示す図である。シミュレーション結果情報記憶部１３５には、シナリオ１３５ａと、荷主１３５ｂと、出発地１３５ｃと、目的地１３５ｄと、輸送モード１３５ｅと、輸送会社１３５ｆと、出発時刻１３５ｇと、到着時刻１３５ｈと、重量１３５ｋと、コスト１３５ｍと、が対応付けられた情報が複数記憶される。 FIG. 6 is a diagram showing a data structure stored in the simulation result information storage unit 135. The simulation result information storage unit 135 includes a scenario 135a, a shipper 135b, a departure place 135c, a destination 135d, a transportation mode 135e, a transportation company 135f, a departure time 135g, an arrival time 135h, and a weight 135k. A plurality of pieces of information associated with the cost 135m are stored.
　シナリオ１３５ａは、シミュレーションを行うにあたり設定した各種パラメータ群を特定する情報である。荷主１３５ｂは、荷物の発送主である荷主を特定する情報である。出発地１３５ｃは、配送の出発地を特定する情報である。目的地１３５ｄは、配送の目的地を特定する情報である。輸送モード１３５ｅは、輸送の方法を特定する情報である。輸送会社１３５ｆは、輸送業務を担う会社を特定する情報である。出発時刻１３５ｇは、出発した日と時刻とを特定する情報である。到着時刻１３５ｈは、到着した日と時刻とを特定する情報である。重量１３５ｋは、荷物の重量を特定する情報である。コスト１３５ｍは、配送にかかった費用を特定する情報である。 The scenario 135a is information for specifying various parameter groups set for the simulation. The shipper 135b is information that identifies the shipper who is the shipper of the package. The departure place 135c is information for specifying the departure place of delivery. The destination 135d is information for specifying a delivery destination. The transport mode 135e is information for specifying a transport method. The transport company 135f is information that identifies a company that is responsible for transport operations. The departure time 135g is information for specifying the date and time of departure. The arrival time 135h is information specifying the date and time of arrival. The weight 135k is information for specifying the weight of the luggage. The cost 135m is information for specifying the cost for delivery.
　図１の説明に戻る。制御部１２０には、配送実績データ推定部１２１と、収益内容乖離解析部１２２と、契約条件変更シナリオ登録部１２３と、配送契約条件変更シミュレーション実行部１２４と、シミュレーション結果出力部１２５と、混載計画決定シミュレーション部１２６と、が含まれる。 Returning to the explanation of FIG. The control unit 120 includes a delivery result data estimation unit 121, a revenue content divergence analysis unit 122, a contract condition change scenario registration unit 123, a delivery contract condition change simulation execution unit 124, a simulation result output unit 125, and a mixed loading plan. A decision simulation unit 126.
　配送実績データ推定部１２１は、荷主の配送実績を用いてコスト、リードタイム等の値を集計し、実績値として用いる基礎数値等の物量データの推定および算出を行う。 The delivery result data estimation unit 121 aggregates values such as cost and lead time using the delivery results of the shipper, and estimates and calculates quantity data such as basic numerical values used as the result values.
　収益内容乖離解析部１２２は、配送実績データ推定部１２１が算出した実績値を用いて、配送条件に応じて予定していた収益内容との乖離を解析する。また、収益内容乖離解析部１２２は、輸送会社別の配送条件との間の乖離を特定し、乖離を可視化して表示する。また、収益内容乖離解析部１２２は、所定の期間別の前記配送条件との間の乖離を特定し、乖離を可視化して表示する。 The revenue content divergence analysis unit 122 analyzes the divergence from the planned revenue content according to the delivery conditions, using the actual value calculated by the delivery result data estimation unit 121. Further, the profit content divergence analysis unit 122 identifies a divergence from the delivery condition for each shipping company, and visualizes and displays the divergence. Further, the profit content divergence analysis unit 122 identifies a divergence from the delivery condition for each predetermined period, and visualizes and displays the divergence.
　また、出発地から目的地までの配送にかかる期間であるリードタイムに関して、収益内容乖離解析部１２２は、荷主の配送条件とリードタイムとを含む実績データを用いて、所定の期間における配送条件が同じ実績についてリードタイムの乖離を可視化して表示する。また、収益内容乖離解析部１２２は、他の荷主の実績データを用いて、輸送会社別に、所定の期間における配送条件が同じ実績についてリードタイムの平均を可視化して表示する。 In addition, regarding the lead time that is a period for delivery from the departure place to the destination, the profit content divergence analysis unit 122 uses the actual data including the delivery condition and the lead time of the shipper to determine the delivery condition in a predetermined period. Visualize and display lead time divergence for the same achievements. Further, the profit content divergence analysis unit 122 visualizes and displays the average lead time for the results with the same delivery condition in a predetermined period for each shipping company using the results data of other shippers.
　契約条件変更シナリオ登録部１２３は、荷主と配送業者との配送契約の条件について、一部に変更が加わったシナリオを複数登録する。 The contract condition change scenario registration unit 123 registers a plurality of scenarios in which some changes have been made regarding the conditions of the delivery contract between the shipper and the delivery company.
　配送契約条件変更シミュレーション実行部１２４は、配送契約条件の一部または全部を変更して、変更が加わったシナリオを用いて、配送実績データ推定部１２１が推定した物量データを用いてコストを計算することで収益のシミュレーションを行う。 The delivery contract condition change simulation execution unit 124 changes part or all of the delivery contract conditions, and calculates the cost using the quantity data estimated by the delivery performance data estimation unit 121 using the changed scenario. The simulation of profit is done.
　シミュレーション結果出力部１２５は、配送契約条件変更シミュレーション実行部１２４が行ったシミュレーションの結果を出力する。 The simulation result output unit 125 outputs the result of the simulation performed by the delivery contract condition change simulation execution unit 124.
　混載計画決定シミュレーション部１２６は、配送契約条件変更シミュレーション実行部１２４による処理の一部、すなわち混載許可の場合に他の荷主との混載を考慮したシミュレーションの処理を行う。具体的には、混載計画決定シミュレーション部１２６は、配送実績データ推定部１２１が推定した物量データを用いてコストを計算する処理において、変更する配送条件が他の荷主との混載を許可するものである場合には、混載を許可している他の荷主の物量データを読み込み、最小単位に満たない荷を合算させてコストを算出する。 The mixed loading plan determination simulation unit 126 performs a part of the processing by the delivery contract condition change simulation execution unit 124, that is, a simulation process that considers mixed loading with another shipper when mixed loading is permitted. Specifically, the mixed loading plan determination simulation unit 126 permits mixed loading with other shippers in the process of calculating the cost using the quantity data estimated by the delivery result data estimating unit 121. In some cases, the quantity data of other shippers that allow mixed loading is read, and the cost that is less than the minimum unit is added to calculate the cost.
　通信部１４０は、インターネット等のネットワーク５０を介して、他の装置との間の通信を行う。 The communication unit 140 communicates with other devices via the network 50 such as the Internet.
　入力部１５０は、利用者からの入力情報を受け付ける。 The input unit 150 receives input information from the user.
　出力部１６０は、利用者に対する出力である画面情報等の出力情報を生成する。 The output unit 160 generates output information such as screen information that is output to the user.
　なお、記憶部１３０は、ネットワーク５０を介して接続される他の装置に設けられ、制御部１２０は通信部１４０を介して記憶部１３０が格納する情報にアクセスするものであってもよい。 The storage unit 130 may be provided in another device connected via the network 50, and the control unit 120 may access information stored in the storage unit 130 via the communication unit 140.
　図７は、配送契約条件シミュレーション装置１００のハードウェア構成を示す図である。配送契約条件シミュレーション装置１００は、典型的にはパーソナルコンピュータ装置であるが、これに限らず、スマートフォン、携帯電話端末あるいはＰＤＡ（Ｐｅｒｓｏｎａｌ　Ｄｉｇｉｔａｌ　Ａｓｓｉｓｔａｎｔ）等の電子情報端末であってもよい。また、配送契約条件シミュレーション装置１００は、ネットワーク５０に対して直接アクセスするのではなく、携帯電話キャリア等の回線交換による通信網、あるいはデータ伝送用の無線通信網等を介してアクセスするものであってもよい。 FIG. 7 is a diagram showing a hardware configuration of the delivery contract condition simulation apparatus 100. As shown in FIG. The delivery contract condition simulation device 100 is typically a personal computer device, but is not limited to this, and may be an electronic information terminal such as a smartphone, a mobile phone terminal, or a PDA (Personal Digital Assistant). Further, the delivery contract condition simulation apparatus 100 does not directly access the network 50, but accesses it via a communication network such as a mobile phone carrier by circuit switching or a wireless communication network for data transmission. Also good.
　配送契約条件シミュレーション装置１００は、ＣＰＵ等の演算装置１１１と、メモリ等の主記憶装置１１２と、ハードディスク（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）やＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）等の外部記憶装置１１３と、ＣＤ（Ｃｏｍｐａｃｔ　Ｄｉｓｋ）やＤＶＤ（Ｄｉｇｉｔａｌ　Ｖｅｒｓａｔｉｌｅ　Ｄｉｓｋ）等の可搬記憶媒体１１４Ｄに対して電子データの読み書きを行う読取装置１１４と、キーボードやマウス等の入力装置１１５と、ディスプレイやプリンタ等の出力装置１１６と、ＮＩＣ（Ｎｅｔｗｏｒｋ　Ｉｎｔｅｒｆａｃｅ　Ｃａｒｄ）等の通信装置１１７と、これらをつなぐバスと、を含んで構成される。 The delivery contract condition simulation apparatus 100 includes an arithmetic device 111 such as a CPU, a main storage device 112 such as a memory, an external storage device 113 such as a hard disk (Hard Disk Drive) or SSD (Solid State Drive), and a CD (Compact Disk). ) And DVD (Digital Versatile Disk) and other portable storage media 114D, a reading device 114 that reads and writes electronic data, an input device 115 such as a keyboard and a mouse, an output device 116 such as a display and a printer, and a NIC A communication device 117 such as (Network Interface Card) and a bus connecting them are configured.
　通信装置１１７は、ネットワークケーブルを介して有線通信を行う有線の通信装置、又はアンテナを介して無線通信を行う無線通信装置である。通信装置１１７は、ネットワーク５０等のネットワークに接続される他の装置との通信を行う。 The communication device 117 is a wired communication device that performs wired communication via a network cable, or a wireless communication device that performs wireless communication via an antenna. The communication device 117 performs communication with other devices connected to the network such as the network 50.
　演算装置１１１は、例えばＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）である。主記憶装置１１２は、例えばＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）などのメモリ装置である。外部記憶装置１１３は、デジタル情報を記憶可能な、いわゆるハードディスクやＳＳＤ、あるいはフラッシュメモリなどの不揮発性記憶装置である。 The computing device 111 is, for example, a CPU (Central Processing Unit). The main storage device 112 is a memory device such as a RAM (Random Access Memory). The external storage device 113 is a non-volatile storage device such as a so-called hard disk, SSD, or flash memory that can store digital information.
　入力装置１１５は、キーボードやマウス等のポインティングデバイス、あるいは音声入力装置であるマイク等を含む入力情報を受け付ける装置である。 The input device 115 is a device that receives input information including a pointing device such as a keyboard and a mouse, or a microphone that is a voice input device.
　出力装置１１６は、ディスプレイやプリンタ、あるいは音声出力装置であるスピーカ等を含む出力情報を生成する装置である。 The output device 116 is a device that generates output information including a display, a printer, or a speaker that is an audio output device.
　上記した制御部１２０に設けられる配送実績データ推定部１２１と、収益内容乖離解析部１２２と、契約条件変更シナリオ登録部１２３と、配送契約条件変更シミュレーション実行部１２４と、シミュレーション結果出力部１２５と、混載計画決定シミュレーション部１２６とは、演算装置１１１に処理を行わせるプログラムによって実現される。このプログラムは、主記憶装置１１２、外部記憶装置１１３または可搬記憶媒体１１４Ｄ内に記憶され、実行にあたって主記憶装置１１２上にロードされ、演算装置１１１により実行される。 Delivery result data estimation unit 121, revenue content deviation analysis unit 122, contract condition change scenario registration unit 123, delivery contract condition change simulation execution unit 124, simulation result output unit 125, provided in the control unit 120 described above, The mixed plan determination simulation unit 126 is realized by a program that causes the arithmetic device 111 to perform processing. This program is stored in the main storage device 112, the external storage device 113, or the portable storage medium 114D, loaded onto the main storage device 112 for execution, and executed by the arithmetic device 111.
　また、記憶部１３０は、主記憶装置１１２及び外部記憶装置１１３により実現される。 The storage unit 130 is realized by the main storage device 112 and the external storage device 113.
　また、通信部１４０は、通信装置１１７により実現される。また、入力部１５０は、入力装置１１５により実現される。また、出力部１６０は、出力装置１１６により実現される。 Further, the communication unit 140 is realized by the communication device 117. The input unit 150 is realized by the input device 115. The output unit 160 is realized by the output device 116.
　以上が、本実施形態における配送契約条件シミュレーションシステム１のハードウェア構成例である。しかし、これに限らず、その他のハードウェアを用いて構成されるものであってもよい。例えば、ネットワーク５０に接続しないスタンドアロン型の配送契約条件シミュレーション装置１００であってもよい。 The above is the hardware configuration example of the delivery contract condition simulation system 1 in this embodiment. However, the configuration is not limited to this, and other hardware may be used. For example, the stand-alone delivery contract condition simulation apparatus 100 that is not connected to the network 50 may be used.
　また、記憶部１３０に格納される各記憶部は、ネットワーク５０に接続された他のサーバ装置や外部記憶装置に記憶されている情報をクローリングして収集して情報を更新するものであってもよいし、サプライヤからデータの送信を受けて更新するものであってもよい。 In addition, each storage unit stored in the storage unit 130 may update information by crawling and collecting information stored in another server device or an external storage device connected to the network 50. Alternatively, it may be updated by receiving data from the supplier.
　［動作の説明］次に、本実施形態における配送契約条件シミュレーションシステム１の動作を説明する。 [Description of Operation] Next, the operation of the delivery contract condition simulation system 1 in this embodiment will be described.
　図８は、本実施形態における配送契約条件シミュレーション装置１００が実施するシミュレーション処理の全体の処理フロー図である。シミュレーション処理は、配送契約条件シミュレーション装置１００が起動している状態で、利用者から処理の開始指示を受け付けると、開始される。 FIG. 8 is an overall process flow diagram of the simulation process executed by the delivery contract condition simulation apparatus 100 according to the present embodiment. The simulation process is started when a process start instruction is received from a user while the delivery contract condition simulation apparatus 100 is activated.
　まず、配送実績データ推定部１２１は、荷主の配送実績を用いて、コストおよびリードタイムを含む実績値を取得する（ステップＳ００１）。具体的には、配送実績データ推定部１２１は、配送実績情報記憶部１３１から荷主１３１ａが荷主に該当するレコードを特定し、レコードを読み出す。 First, the delivery record data estimation unit 121 acquires a record value including the cost and the lead time using the delivery record of the shipper (step S001). Specifically, the delivery record data estimation unit 121 identifies the record in which the shipper 131a corresponds to the shipper from the delivery record information storage unit 131, and reads the record.
　次に、収益内容乖離解析部１２２は、荷主と配送業者との間の契約条件と、配送の実績とを比較するため、収益評価の乖離解析画面を出力する（ステップＳ００２）。具体的には、収益内容乖離解析部１２２は、荷主と配送業者との間の契約条件および実績の値、例えば荷物の重量とコストの事前の取決めと、実際の荷物の重量およびコストの実績値と、を同軸のグラフ上に配して、実績と契約の乖離を可視化容易な画面を構成する。 Next, the revenue content divergence analysis unit 122 outputs a revenue evaluation divergence analysis screen in order to compare the contract conditions between the shipper and the delivery company with the actual delivery (step S002). Specifically, the revenue content divergence analysis unit 122 determines the contract condition and actual value between the shipper and the delivery company, for example, the prior arrangement of the weight and cost of the package, and the actual value of the actual package weight and cost. Are arranged on a coaxial graph, and a screen for easily visualizing the difference between the actual results and the contract is constructed.
　そして、契約条件変更シナリオ登録部１２３は、荷主との契約条件を読出し、編集可能な契約条件変更シナリオとして登録する（ステップＳ００３）。具体的には、契約条件変更シナリオ登録部１２３は、荷主との契約条件を読出し、契約条件の一部または全部の変更を受け付けると新たなシナリオとして設定して配送契約条件変更シミュレーション実行部１２４へ受け渡す。 Then, the contract condition change scenario registration unit 123 reads the contract condition with the shipper and registers it as an editable contract condition change scenario (step S003). Specifically, the contract condition change scenario registration unit 123 reads out the contract conditions with the shipper, receives a change in part or all of the contract conditions, sets it as a new scenario, and sends it to the delivery contract condition change simulation execution unit 124. Deliver.
　そして、配送契約条件変更シミュレーション実行部１２４は、編集された契約条件変更シナリオを登録し、シナリオごとに配送契約条件を変更した状態でのシミュレーションを実施する（ステップＳ００４）。具体的には、配送契約条件変更シミュレーション実行部１２４は、ステップＳ００３にて受け渡されたシナリオごとに、収益計算を実施する。配送契約条件変更シミュレーション実行部１２４は、実施した収益計算の結果を、シナリオごとにシミュレーション結果情報記憶部１３５に格納する。なお、シナリオに、混載許可への変更が含まれる場合には、混載計画決定シミュレーション部１２６は混載許可の場合の計画をシミュレートする処理を実施する。 Then, the delivery contract condition change simulation execution unit 124 registers the edited contract condition change scenario, and performs a simulation with the delivery contract condition changed for each scenario (step S004). Specifically, the delivery contract condition change simulation execution unit 124 performs a profit calculation for each scenario delivered in step S003. The delivery contract condition change simulation execution unit 124 stores the result of the calculated profit calculation in the simulation result information storage unit 135 for each scenario. When the scenario includes a change to mixed loading permission, the mixed loading plan determination simulation unit 126 performs a process of simulating a plan for mixed loading permission.
　そして、シミュレーション結果出力部１２５は、シナリオごとにシミュレーション結果を表示する（ステップＳ００５）。具体的には、シミュレーション結果出力部１２５は、シミュレーション結果情報記憶部１３５から結果情報を読み出して、表示する画面を構成して出力する。 And the simulation result output part 125 displays a simulation result for every scenario (step S005). Specifically, the simulation result output unit 125 reads out the result information from the simulation result information storage unit 135, and configures and outputs a screen to be displayed.
　以上が、シミュレーション処理の全体の処理フローである。このフローによれば、契約条件と実績との乖離を把握することが容易となり、また、条件を変更したシナリオのシミュレーションを行うことが容易となるため、契約条件の変更の要否判断から契約内容の変更までをシームレスに実施することが可能となる。 The above is the overall processing flow of the simulation process. According to this flow, it is easy to understand the difference between the contract conditions and the actual results, and it is easy to simulate the scenario with changed conditions. It is possible to implement seamlessly up to the change.
　図９は、実績取得処理の動作フローを示す図である。実績取得処理は、シミュレーション処理のステップＳ００１において実施される処理である。 FIG. 9 is a diagram showing an operation flow of the result acquisition process. The result acquisition process is a process performed in step S001 of the simulation process.
　まず、配送実績データ推定部１２１は、配送実績情報を読み込む（ステップＳ１０１）。具体的には、配送実績データ推定部１２１は、配送実績情報記憶部１３１に格納されている情報を全件読み出す。 First, the delivery record data estimation unit 121 reads delivery record information (step S101). Specifically, the delivery record data estimation unit 121 reads all information stored in the delivery record information storage unit 131.
　そして、配送実績データ推定部１２１は、荷主別に、出発地、目的地、輸送モード、輸送会社の組み合わせに応じて実績値を分類する（ステップＳ１０２）。具体的には、配送実績データ推定部１２１は、荷主別に、出発地、目的地、輸送モード、輸送会社の組み合わせを重複なく読み出す。 Then, the delivery result data estimation unit 121 classifies the result values according to the combination of the departure place, the destination, the transport mode, and the transport company for each shipper (step S102). Specifically, the delivery record data estimation unit 121 reads out the combination of the departure place, the destination, the transportation mode, and the transportation company for each shipper without duplication.
　そして、配送実績データ推定部１２１は、分類ごとに、実績値を読み出す（ステップＳ１０３）。具体的には、配送実績データ推定部１２１は、ステップＳ１０２において読み出した荷主別の出発地、目的地、輸送モード、輸送会社の組み合わせごとに、実績値としてリードタイム、コスト、重量を読出し、記録する。なお、リードタイムは、到着時刻１３１ｇから出発時刻１３１ｆを引いた差分とする。 And the delivery performance data estimation part 121 reads a performance value for every classification (step S103). Specifically, the delivery result data estimation unit 121 reads and records the lead time, cost, and weight as actual values for each combination of departure place, destination, transport mode, and transport company for each shipper read in step S102. To do. The lead time is a difference obtained by subtracting the departure time 131f from the arrival time 131g.
　そして、配送実績データ推定部１２１は、配送マスタの規定に基づく情報と、実績に基づく情報とを対比可能に図示する（ステップＳ１０４）。具体的には、配送実績データ推定部１２１は、ステップＳ１０３において読み出した実績値の分類の一つを、所定の二軸（例えば、横軸に重量、縦軸にコスト）を設けた散布図を示すグラフ上にプロットした表示情報を作成する。そして、配送実績データ推定部１２１は、配送マスタ情報記憶部１３２から、分類の輸送会社、輸送モード、出発地、目的地が一致するレコードを読み出す。そして、配送実績データ推定部１２１は、最小単位１３２ｈ、最少単価１３２ｋ、単価１３２ｇを示すグラフを生成し、当該表示情報に含まれるグラフ上に重ねる。そして、配送実績データ推定部１２１は、出力部１６０に生成した情報を出力させる。 Then, the delivery record data estimation unit 121 illustrates the information based on the provision of the delivery master and the information based on the record so as to be comparable (step S104). Specifically, the delivery result data estimation unit 121 uses a scatter diagram in which one of the results value classifications read in step S103 is provided with predetermined two axes (for example, weight on the horizontal axis and cost on the vertical axis). Create the display information plotted on the graph shown. Then, the delivery record data estimation unit 121 reads from the delivery master information storage unit 132 a record in which the classified transportation company, transportation mode, departure place, and destination match. Then, the delivery record data estimation unit 121 generates a graph indicating the minimum unit 132h, the minimum unit price 132k, and the unit price 132g, and superimposes the graph on the graph included in the display information. Then, the delivery result data estimation unit 121 causes the output unit 160 to output the generated information.
　以上が、実績取得処理の処理フローである。実績取得処理によれば、当初の契約条件に則った計画と、実績値とを容易に視覚化して比較参照することが可能となる。 The above is the process flow of the results acquisition process. According to the result acquisition process, it is possible to easily visualize and compare the plan according to the initial contract condition and the actual value.
　図１０は、実績取得処理の出力結果である物量実績データ画面の構成例を示す図である。物量実績データ画面１０００は、実績取得処理のステップＳ１０４にて出力される。物量実績データ画面１０００は、グラフ表示領域１００１と、集計対象始期入力領域１００２Ａと、集計対象終期入力領域１００２Ｂと、荷主入力領域１００２Ｃと、輸送会社入力領域１００２Ｄと、出発地入力領域１００２Ｅと、目的地入力領域１００２Ｆと、解析条件入力領域１００２Ｇと、乖離解析実行指示受付領域１００３Ａと、再表示指示受付領域１００３Ｂと、終了指示受付領域１００３Ｃと、を含む。 FIG. 10 is a diagram illustrating a configuration example of a physical quantity result data screen that is an output result of the actual result acquisition process. The physical quantity result data screen 1000 is output in step S104 of the result acquisition process. The physical quantity result data screen 1000 includes a graph display area 1001, a total target start input area 1002A, a total target end input area 1002B, a shipper input area 1002C, a shipping company input area 1002D, a departure place input area 1002E, a purpose A ground input area 1002F, an analysis condition input area 1002G, a divergence analysis execution instruction reception area 1003A, a redisplay instruction reception area 1003B, and an end instruction reception area 1003C are included.
　グラフ表示領域１００１には、横軸に重量、縦軸にコストを示す軸を設け、出発地、目的地、輸送モード、輸送会社単位に集計した重量とコストについての実績を示す散布図が表示される。また、グラフ表示領域１００１には、配送マスタ情報記憶部１３２から読み出した最小単位１３２ｈ、最少単価１３２ｋ、単価１３２ｇを満たす配送マスタのラインが示される。 In the graph display area 1001, an axis indicating weight on the horizontal axis and cost indicating the cost on the vertical axis is provided, and a scatter diagram showing the results of the weight and cost totaled for each departure place, destination, transportation mode, and transportation company is displayed. The In the graph display area 1001, a delivery master line that satisfies the minimum unit 132h, the minimum unit price 132k, and the unit price 132g read from the delivery master information storage unit 132 is shown.
　なお、再表示指示受付領域１００３Ｂは、入力を受け付けると、荷主入力領域１００２Ｃと、輸送会社入力領域１００２Ｄと、出発地入力領域１００２Ｅと、目的地入力領域１００２Ｆと、に入力された情報を備える分類に関し、集計対象始期入力領域１００２Ａと、集計対象終期入力領域１００２Ｂと、により定まる期間の実績について散布図を生成し、再表示させる。終了指示受付領域１００３Ｃは、入力を受け付けると、物量実績データ画面１０００を終了させる。 The redisplay instruction receiving area 1003B, when receiving the input, is a classification including information input in the shipper input area 1002C, the transport company input area 1002D, the departure place input area 1002E, and the destination input area 1002F. , A scatter diagram is generated for the period determined by the aggregation target start input area 1002A and the aggregation target end input area 1002B and is displayed again. When receiving the input, the end instruction receiving area 1003C ends the physical quantity result data screen 1000.
　乖離解析実行指示受付領域１００３Ａは、入力を受け付けると、荷主入力領域１００２Ｃと、輸送会社入力領域１００２Ｄと、出発地入力領域１００２Ｅと、目的地入力領域１００２Ｆと、に入力された情報を備える分類に関し、集計対象始期入力領域１００２Ａと、集計対象終期入力領域１００２Ｂと、により定まる期間の実績について解析条件入力領域１００２Ｇに入力された条件を用いて乖離の解析処理を収益内容乖離解析部１２２に開始させる。 When receiving the input, the deviation analysis execution instruction receiving area 1003A relates to a classification including information input to the shipper input area 1002C, the shipping company input area 1002D, the departure place input area 1002E, and the destination input area 1002F. The revenue content divergence analysis unit 122 is started using the condition input to the analysis condition input area 1002G for the period of time determined by the aggregation target start input area 1002A and the aggregation target end input area 1002B. .
　ここで、例えば解析条件入力領域１００２Ｇに「輸送会社」が入力された場合には、収益内容乖離解析部１２２は、図１１に示す収益内容乖離解析画面（輸送会社別）１１００を生成する。また、例えば解析条件入力領域１００２Ｇに「混載集計」が入力された場合には、収益内容乖離解析部１２２は、図１２に示す収益内容乖離解析画面（混載集計）１１００を生成する。 Here, for example, when “transportation company” is input in the analysis condition input area 1002G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by transportation company) 1100 shown in FIG. For example, when “mixed total” is input to the analysis condition input area 1002G, the profit content deviation analysis unit 122 generates a profit content deviation analysis screen (mixed total) 1100 shown in FIG.
　図１１は、重量ベースの収益内容乖離解析画面（輸送会社別）の構成例を示す図である。収益内容乖離解析画面（輸送会社別）１１００には、グラフ表示領域１１０１と、解析対象条件表示領域１１０２と、戻る指示受付領域１１０３と、が含まれる。このうち、解析対象条件表示領域１１０２には、収益内容の乖離を解析した条件となる荷主、出発地、目的地等の条件が表示される。戻る指示受付領域１１０３は、入力を受け付けると、物量実績データ画面１０００へ表示を戻す。 FIG. 11 is a diagram showing a configuration example of a weight-based profit content deviation analysis screen (by transport company). The revenue content deviation analysis screen (by shipping company) 1100 includes a graph display area 1101, an analysis target condition display area 1102, and a return instruction receiving area 1103. Among these, the analysis target condition display area 1102 displays conditions such as a shipper, a departure place, and a destination which are conditions for analyzing the difference in profit contents. The return instruction receiving area 1103 returns the display to the physical quantity result data screen 1000 when receiving the input.
　グラフ表示領域１１０１には、収益内容の乖離を示しうるグラフが表示される。例えば、グラフ表示領域１１０１の横軸には重量、縦軸にはコストが設定され、実績値がプロットされるとともに、輸送会社別に配送マスタを示すラインが表示される。これにより、実績の荷量では、例えば他の輸送会社を用いるとコストを抑えることが可能である可能性を容易に視覚的に知覚しうるため、改善点を見つけやすいといえる。 In the graph display area 1101, a graph that can indicate the divergence of the profit contents is displayed. For example, weight is set on the horizontal axis of the graph display area 1101, cost is set on the vertical axis, actual values are plotted, and a line indicating a delivery master for each shipping company is displayed. As a result, it can be said that, with the actual load, for example, if another transportation company is used, the possibility that the cost can be suppressed can be easily visually perceived.
　図１２は、重量ベースの収益内容乖離解析画面（混載集計）の構成例を示す図である。収益内容乖離解析画面（混載集計）１２００には、グラフ表示領域１２０１と、解析対象条件表示領域１２０２と、戻る指示受付領域１２０３と、が含まれる。このうち、解析対象条件表示領域１２０２には、収益内容の乖離を解析した条件となる荷主、出発地、目的地等の条件が表示される。戻る指示受付領域１２０３は、入力を受け付けると、物量実績データ画面１０００へ表示を戻す。 FIG. 12 is a diagram showing a configuration example of a weight-based revenue content divergence analysis screen (consolidated total). The revenue content divergence analysis screen (consolidated total) 1200 includes a graph display area 1201, an analysis target condition display area 1202, and a return instruction reception area 1203. Among these, in the analysis target condition display area 1202, conditions such as a shipper, a departure place, and a destination that are conditions for analyzing the divergence of the profit contents are displayed. When receiving an input, the return instruction receiving area 1203 returns the display to the physical quantity result data screen 1000.
　グラフ表示領域１２０１には、収益内容の乖離を示しうるグラフが表示される。例えば、グラフ表示領域１２０１の横軸には期間（日）、縦軸には重量が設定され、混載可能としている他の荷主と同じ出発地、目的地の荷物と混載した場合の重量が発送日ごとにグラフ化される。また、グラフ表示領域１２０１には、該当する輸送会社の最小単位を示すラインが表示される。これにより、実績の荷量では、例えば他の荷主と混載を認めると最小単位を割らないことによりコストを抑えることが可能である可能性を容易に視覚的に知覚しうるため、改善点を見つけやすいといえる。 In the graph display area 1201, a graph that can indicate the divergence of the profit contents is displayed. For example, the period (day) is set on the horizontal axis of the graph display area 1201, the weight is set on the vertical axis, and the weight when the load is mixed with the same departure point and destination baggage as other shippers that can be mixedly loaded is Each is graphed. In the graph display area 1201, a line indicating the minimum unit of the corresponding transportation company is displayed. As a result, in the actual load volume, for example, if mixed loading with other shippers is recognized, the possibility that the cost can be reduced by not dividing the minimum unit can be easily perceived. It can be said that it is easy.
　図１３は、実績取得処理の出力結果である物流実績データ画面の構成例を示す図である。物流実績データ画面１３００は、実績取得処理のステップＳ１０４にて出力される。物流実績データ画面１３００は、グラフ表示領域１３０１と、集計対象始期入力領域１３０２Ａと、集計対象終期入力領域１３０２Ｂと、荷主入力領域１３０２Ｃと、輸送会社入力領域１３０２Ｄと、出発地入力領域１３０２Ｅと、目的地入力領域１３０２Ｆと、解析条件入力領域１３０２Ｇと、乖離解析実行指示受付領域１３０３Ａと、再表示指示受付領域１３０３Ｂと、終了指示受付領域１３０３Ｃと、を含む。 FIG. 13 is a diagram illustrating a configuration example of a physical distribution result data screen that is an output result of the actual result acquisition process. The distribution result data screen 1300 is output in step S104 of the result acquisition process. The distribution result data screen 1300 includes a graph display area 1301, a total target start input area 1302A, a total target end input area 1302B, a shipper input area 1302C, a shipping company input area 1302D, a departure place input area 1302E, a purpose A ground input area 1302F, an analysis condition input area 1302G, a divergence analysis execution instruction reception area 1303A, a redisplay instruction reception area 1303B, and an end instruction reception area 1303C are included.
　グラフ表示領域１３０１には、横軸にリードタイム、縦軸に比率（あるいは頻度）を示す軸を設け、出発地、目的地、輸送モード、輸送会社単位に集計したリードタイムと頻度についての実績を示すヒストグラムが表示される。なお、再表示指示受付領域１３０３Ｂは、入力を受け付けると、荷主入力領域１３０２Ｃと、輸送会社入力領域１３０２Ｄと、出発地入力領域１３０２Ｅと、目的地入力領域１３０２Ｆと、に入力された情報を備える分類に関し、集計対象始期入力領域１３０２Ａと、集計対象終期入力領域１３０２Ｂと、により定まる期間の実績についてヒストグラムを生成し、再表示させる。終了指示受付領域１３０３Ｃは、入力を受け付けると、物流実績データ画面１３００を終了させる。 In the graph display area 1301, an axis indicating the lead time on the horizontal axis and a ratio (or frequency) on the vertical axis is provided, and the results of the lead time and frequency totaled for each starting point, destination, transportation mode, and transportation company are displayed. A histogram showing is displayed. The re-display instruction receiving area 1303B, when receiving the input, is a classification including information input in the shipper input area 1302C, the shipping company input area 1302D, the departure place input area 1302E, and the destination input area 1302F. , A histogram is generated for the period determined by the total target start input area 1302A and the total target end input area 1302B, and is redisplayed. When receiving the input, the end instruction receiving area 1303C ends the physical distribution result data screen 1300.
　乖離解析実行指示受付領域１３０３Ａは、入力を受け付けると、荷主入力領域１３０２Ｃと、輸送会社入力領域１３０２Ｄと、出発地入力領域１３０２Ｅと、目的地入力領域１３０２Ｆと、に入力された情報を備える分類に関し、集計対象始期入力領域１３０２Ａと、集計対象終期入力領域１３０２Ｂと、により定まる期間の実績について解析条件入力領域１３０２Ｇに入力された条件を用いて乖離の解析処理を収益内容乖離解析部１２２に開始させる。 When receiving the input, the deviation analysis execution instruction receiving area 1303A relates to the classification including the information input in the shipper input area 1302C, the transportation company input area 1302D, the departure place input area 1302E, and the destination input area 1302F. The revenue content divergence analysis unit 122 is started using the conditions input to the analysis condition input area 1302G for the period of time determined by the aggregation target start input area 1302A and the aggregation target end input area 1302B. .
　ここで、例えば解析条件入力領域１３０２Ｇに「年別」が入力された場合には、収益内容乖離解析部１２２は、図１４に示す収益内容乖離解析画面（年別）１４００を生成する。また、例えば解析条件入力領域１３０２Ｇに「輸送会社別」が入力された場合には、収益内容乖離解析部１２２は、図１５に示す収益内容乖離解析画面（輸送会社別）１５００を生成する。 Here, for example, when “by year” is input to the analysis condition input area 1302G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by year) 1400 shown in FIG. Further, for example, when “by transportation company” is input to the analysis condition input area 1302G, the revenue content deviation analysis unit 122 generates a revenue content deviation analysis screen (by transportation company) 1500 shown in FIG.
　図１４は、リードタイムベースの収益内容乖離解析画面（年別）の構成例を示す図である。収益内容乖離解析画面（年別）１４００には、グラフ表示領域１４０１と、解析対象条件表示領域１４０２と、戻る指示受付領域１４０３と、が含まれる。このうち、解析対象条件表示領域１４０２には、収益内容の乖離を解析した条件となる荷主、出発地、目的地等の条件が表示される。戻る指示受付領域１４０３は、入力を受け付けると、物流実績データ画面１３００へ表示を戻す。 FIG. 14 is a diagram showing a configuration example of a lead time base profit content divergence analysis screen (by year). The revenue content divergence analysis screen (by year) 1400 includes a graph display area 1401, an analysis target condition display area 1402, and a return instruction reception area 1403. Among these, the analysis target condition display area 1402 displays conditions such as a shipper, a departure place, and a destination, which are conditions for analyzing the divergence of the profit contents. The return instruction reception area 1403 returns the display to the physical distribution result data screen 1300 when the input is received.
　グラフ表示領域１４０１には、収益内容の乖離を示しうるグラフが表示される。例えば、グラフ表示領域１４０１の横軸にはリードタイム（日）、縦軸には比率が設定され、実績値が年別にヒストグラム表示される。これにより、年別のリードタイムの推移を参考に、他の輸送会社を用いた方がリードタイムを短くする可能性を容易に視覚的に知覚しうるため、改善点を見つけやすいといえる。 In the graph display area 1401, a graph that can indicate the divergence of the profit contents is displayed. For example, a lead time (day) is set on the horizontal axis of the graph display area 1401, a ratio is set on the vertical axis, and the actual values are displayed in a histogram by year. As a result, referring to the changes in lead times by year, it is easier to find improvement points by using other transport companies because the possibility of shortening the lead time can be easily perceived.
　図１５は、リードタイムベースの収益内容乖離解析画面（輸送会社別）の構成例を示す図である。収益内容乖離解析画面（輸送会社別）１５００には、グラフ表示領域１５０１と、解析対象条件表示領域１５０２と、戻る指示受付領域１５０３と、が含まれる。このうち、解析対象条件表示領域１５０２には、収益内容の乖離を解析した条件となる荷主、出発地、目的地等の条件が表示される。戻る指示受付領域１５０３は、入力を受け付けると、物流実績データ画面１３００へ表示を戻す。 FIG. 15 is a diagram showing a configuration example of a lead time base profit content deviation analysis screen (by transportation company). The revenue content deviation analysis screen (by shipping company) 1500 includes a graph display area 1501, an analysis target condition display area 1502, and a return instruction reception area 1503. Among these, the analysis target condition display area 1502 displays conditions such as a shipper, a departure place, and a destination, which are conditions for analyzing the divergence of the profit contents. The return instruction reception area 1503 returns the display to the physical distribution result data screen 1300 when the input is received.
　グラフ表示領域１５０１には、収益内容の乖離を示しうるグラフが表示される。例えば、グラフ表示領域１５０１の横軸にはリードタイム（日）、縦軸には比率が設定され、同一区間の輸送についての他の輸送会社の平均リードタイムと並列表示される。これにより、他の輸送会社に変更した方がリードタイムを短くできる可能性を容易に視覚的に知覚しうるため、改善点を見つけやすいといえる。 In the graph display area 1501, a graph that can indicate the divergence of the profit contents is displayed. For example, a lead time (day) is set on the horizontal axis of the graph display area 1501, and a ratio is set on the vertical axis, which are displayed in parallel with the average lead time of other transport companies for transport in the same section. As a result, it can be said that the possibility of shortening the lead time can be easily visually perceived by changing to another transport company, so it is easier to find improvements.
　図１６は、混載を許容する場合のシミュレーション処理の一部を示す図である。具体的には、図１６は、混載条件を緩和する場合に行うシミュレーション処理において、混載条件の変更を反映させる処理についてのフローを示す図である。 FIG. 16 is a diagram showing a part of the simulation process when mixed loading is permitted. Specifically, FIG. 16 is a diagram illustrating a flow of a process for reflecting a change in the mixed loading condition in a simulation process performed when the mixed loading condition is relaxed.
　まず、契約条件変更シナリオ登録部１２３は、対象荷主について混載可能とするシナリオを登録する（ステップＳ２０１）。具体的には、契約条件変更シナリオ登録部１２３は、配送契約条件情報記憶部１３３を読出し、契約条件変更パラメータのうち混載許可１３３ｅについて「Ｎｏ」の値を「Ｙｅｓ」としたシナリオを生成し、登録する。 First, the contract condition change scenario registering unit 123 registers a scenario that enables mixed loading for the target shipper (step S201). Specifically, the contract condition change scenario registration unit 123 reads the delivery contract condition information storage unit 133 and generates a scenario in which “No” is set to “Yes” for the mixed loading permission 133e among the contract condition change parameters. sign up.
　そして、混載計画決定シミュレーション部１２６は、配送実績情報と配送契約条件情報から、混載が可能であり、出発地と目的地、輸送会社が同じである別の荷主のデータを抽出し、日別に重量を集計する（ステップＳ２０２）。具体的には、混載計画決定シミュレーション部１２６は、配送契約条件情報記憶部１３３を参照し、同一の出発地かつ同一の目的地であって輸送会社が同一である別の荷主に関し、混載許可１３３ｅが「Ｙｅｓ」である荷主を抽出する。そして、混載計画決定シミュレーション部１２６は、配送実績情報記憶部１３１を参照し、抽出した荷主の実績値を抽出し、日別に重量を集計する。 Then, the mixed loading plan determination simulation unit 126 extracts the data of another shipper who can perform the mixed loading from the delivery result information and the delivery contract condition information, and has the same starting point, destination, and transportation company, and weights it by day. (Step S202). Specifically, the mixed loading plan determination simulation unit 126 refers to the delivery contract condition information storage unit 133, and mixed loading permission 133 e regarding another shipper having the same starting point, the same destination, and the same transportation company. The shipper whose is “Yes” is extracted. Then, the mixed loading plan determination simulation unit 126 refers to the delivery record information storage unit 131, extracts the extracted record value of the shipper, and totals the weights by day.
　そして、混載計画決定シミュレーション部１２６は、日ごとに集計した合計重量が、輸送会社の最小単位以下の場合は、最小単価に割合（該当荷主の重量/総重量）を掛けて、混載の場合の荷主の価格を算出する。また、合計重量が輸送会社の最小単位より大きい場合は、混載計画決定シミュレーション部１２６は、単価と総重量、割合（該当荷主の重量/総重量）を掛けて、混載の場合の荷主の価格（コスト）を算出する（ステップＳ２０３）。 Then, when the total weight aggregated every day is equal to or less than the minimum unit of the transport company, the mixed loading plan determination simulation unit 126 multiplies the minimum unit price by the ratio (weight of the corresponding shipper / total weight), and in the case of mixed loading. Calculate the shipper's price. When the total weight is larger than the minimum unit of the transport company, the mixed loading plan determination simulation unit 126 multiplies the unit price, the total weight, and the ratio (weight / total weight of the corresponding shipper) to determine the price of the shipper in the case of mixed loading ( (Cost) is calculated (step S203).
　そして、シミュレーション結果出力部１２５は、混載結果（コスト）を出力する（ステップＳ２０４）。具体的には、シミュレーション結果出力部１２５は、ステップＳ２０３の処理の結果得られた荷主の価格（コスト）を用いたシミュレーション結果リスト画面１８００を生成し出力する。また、シミュレーション結果出力部１２５は、シミュレーション結果情報記憶部１３５にも、同様の混載結果を格納する。 Then, the simulation result output unit 125 outputs the mixed loading result (cost) (step S204). Specifically, the simulation result output unit 125 generates and outputs a simulation result list screen 1800 using the price (cost) of the shipper obtained as a result of the process of step S203. The simulation result output unit 125 also stores the same mixed loading result in the simulation result information storage unit 135.
　以上が、混載条件の変更を反映させる処理についてのフローである。混載条件の変更を反映させる処理によると、シミュレーションのシナリオとして混載条件を変更する登録がなされ、シミュレーションの処理の一部において、混載の場合のコスト計算を実現することができる。 The above is the flow for processing to reflect the change of the mixed loading conditions. According to the process of reflecting the change of the mixed loading condition, registration for changing the mixed loading condition is made as a simulation scenario, and the cost calculation in the case of mixed loading can be realized in a part of the simulation process.
　図１７は、契約条件変更パラメータ画面の図である。契約条件変更パラメータ画面１７００は、契約条件変更シミュレーションにおいて登録されているシナリオが表示される画面である。契約条件変更パラメータ画面１７００には、契約条件変更パラメータ表示領域１７０１と、実行指示受付領域１７０３と、が含まれる。 FIG. 17 is a diagram of the contract condition change parameter screen. The contract condition change parameter screen 1700 is a screen on which a scenario registered in the contract condition change simulation is displayed. The contract condition change parameter screen 1700 includes a contract condition change parameter display area 1701 and an execution instruction reception area 1703.
　契約条件変更パラメータ表示領域１７０１には、荷主、出発地、目的地、輸送会社、混載フラグ等のパラメータの組を一選択単位とするシナリオが選択可能に複数表示される。 The contract condition change parameter display area 1701 displays a plurality of selectable scenarios in which a group of parameters such as a shipper, a departure place, a destination, a transportation company, and a mixed loading flag is selected.
　実行指示受付領域１７０３は、入力を受け付けると、契約条件変更パラメータ表示領域１７０１において選択されているシナリオの実行を開始させる。シナリオの実行処理は、配送契約条件変更シミュレーション実行部１２４および混載の許可が変更されるシナリオの場合には混載計画決定シミュレーション部１２６が、所定のロジックを用いて実現する。 When receiving the input, the execution instruction receiving area 1703 starts execution of the scenario selected in the contract condition change parameter display area 1701. The scenario execution process is realized by the delivery contract condition change simulation execution unit 124 and the mixed loading plan determination simulation unit 126 in the case of a scenario in which the permission for mixed loading is changed using predetermined logic.
　図１８は、シミュレーション結果リスト画面の図である。シミュレーション結果リスト画面１８００は、契約条件変更シミュレーションにおいて実行されたシナリオごとにシミュレーション結果が表示される画面である。シミュレーション結果リスト画面１８００には、シミュレーション詳細表示領域１８０１と、グラフ表示指示受付領域１８０３と、が含まれる。 FIG. 18 is a diagram of a simulation result list screen. The simulation result list screen 1800 is a screen on which a simulation result is displayed for each scenario executed in the contract condition change simulation. The simulation result list screen 1800 includes a simulation detail display area 1801 and a graph display instruction reception area 1803.
　シミュレーション詳細表示領域１８０１には、シミュレーションの条件と、シミュレーションにより得られたコストの計算結果と、が含まれる。シミュレーション詳細表示領域１８０１には、シナリオごとのシミュレーション結果がリスト形式で示される。例えば、シナリオごとに、荷主、出発地、目的地、輸送モード、輸送会社、出発時間、到着時間、重量、コストの情報が列挙される。 The simulation detail display area 1801 includes the simulation conditions and the cost calculation result obtained by the simulation. In the simulation detail display area 1801, simulation results for each scenario are displayed in a list format. For example, for each scenario, information on shipper, departure place, destination, transportation mode, transportation company, departure time, arrival time, weight, and cost is listed.
　グラフ表示指示受付領域１８０３は、入力を受け付けると、シナリオごとのコストのグラフを表示する処理をシミュレーション結果出力部１２５に開始させる。当該処理においては、シミュレーション結果出力部１２５は、シナリオごとに、コストを示す棒グラフを出力する。 When receiving an input, the graph display instruction receiving area 1803 causes the simulation result output unit 125 to start a process of displaying a cost graph for each scenario. In the processing, the simulation result output unit 125 outputs a bar graph indicating the cost for each scenario.
　図１９は、シミュレーション結果グラフの図である。シミュレーション結果グラフ画面１９００では、契約条件変更シミュレーションにおいて実行されたシナリオ別にシミュレーション結果の収支内訳１９０１が表示される。また、シミュレーション結果グラフ画面１９００では、入力を受け付けるとシミュレーション結果リスト画面１８００を表示させる処理を行う終了指示受付領域１９０２が表示される。 FIG. 19 is a diagram of a simulation result graph. On the simulation result graph screen 1900, a balance breakdown 1901 of simulation results is displayed for each scenario executed in the contract condition change simulation. On the simulation result graph screen 1900, when an input is received, an end instruction receiving area 1902 for performing processing for displaying the simulation result list screen 1800 is displayed.
　以上、本発明に係る第一の実施形態を適用した配送契約条件シミュレーションシステム１について、図面を用いて説明した。第一の実施形態によれば、配送契約条件の見積もりに検討不足がある場合であっても、乖離を容易に解析することが可能となり、より安価な配送条件で配送することが可能となる。 The delivery contract condition simulation system 1 to which the first embodiment according to the present invention is applied has been described with reference to the drawings. According to the first embodiment, even if there is a lack of examination in the estimation of the delivery contract condition, it is possible to easily analyze the divergence, and it is possible to deliver with a cheaper delivery condition.
　すなわち、第一の実施形態によれば、顧客の物量実績に応じた適切な契約条件を提示する配送契約条件シミュレーションを実現することができるといえる。 That is, according to the first embodiment, it can be said that it is possible to realize a delivery contract condition simulation that presents an appropriate contract condition according to a customer's physical quantity record.
　本発明は、上記の第一の実施形態に制限されない。上記の第一の実施形態は、本発明の技術的思想の範囲内で様々な変形が可能である。例えば、画面の遷移は第一の実施形態に限られず、異なる画面による異なる流れの遷移であってもよい。そのようにすることで、試行錯誤を行いやすくなり、よりシミュレーションを精緻なものとすることも可能である。 The present invention is not limited to the first embodiment described above. The first embodiment described above can be variously modified within the scope of the technical idea of the present invention. For example, the transition of the screen is not limited to the first embodiment, and may be a transition of different flows on different screens. By doing so, it becomes easy to perform trial and error, and it is possible to make the simulation more precise.
　また例えば、契約条件を変更したシナリオについて、配送契約条件変更シミュレーション実行部１２４は、総当たりの組み合わせを生成してそれぞれのシナリオに応じたシミュレーション処理を行い、混載計画決定コストが最小となるシナリオを特定して提案として提示するようにしてもよい。 In addition, for example, for a scenario in which the contract conditions are changed, the delivery contract condition change simulation execution unit 124 generates a brute force combination and performs a simulation process according to each scenario, and generates a scenario that minimizes the mixed loading plan determination cost. It may be specified and presented as a proposal.
　なお、本発明は上記した実施形態に限定されるものではなく、さらなる様々な変形例が含まれる。例えば、上記した実施形態では本発明を分かりやすく説明するために構成を詳細に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。また、ある実施形態の構成の一部を他の実施形態の構成に置き換えることが可能であり、また、ある実施形態の構成に他の実施形態の構成を加えることも可能である。また、各実施形態の構成の一部について、他の構成の追加・削除・置換をすることが可能である。 It should be noted that the present invention is not limited to the above-described embodiment, and includes various other modifications. For example, in the above-described embodiment, the configuration is described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one having all the configurations described. Further, a part of the configuration of an embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of an embodiment. In addition, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
　また、上記の各構成、機能、処理部等は、それらの一部又は全部を、例えば集積回路で設計する等によりハードウェアで実現してもよい。また、制御線や情報線は説明上必要と考えられるものを示しており、製品上必ずしも全ての制御線や情報線を示しているとは限らない。実際には殆ど全ての構成が相互に接続されていると考えてもよい。 In addition, each of the above-described configurations, functions, processing units, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.
　また、上記した実施形態の技術的要素は、単独で適用されてもよいし、プログラム部品とハードウェア部品のような複数の部分に分けられて適用されるようにしてもよい。 Also, the technical elements of the above-described embodiments may be applied independently, or may be applied by being divided into a plurality of parts such as program parts and hardware parts.
　以上、本発明について、実施形態を中心に説明した。 In the above, this invention was demonstrated centering on embodiment.
１・・・配送契約条件シミュレーションシステム、５０・・・ネットワーク、１００・・・配送契約条件シミュレーション装置、１２０・・・制御部、１２１・・・配送実績データ推定部、１２２・・・収益内容乖離解析部、１２３・・・契約条件変更シナリオ登録部、１２４・・・配送契約条件変更シミュレーション実行部、１２５・・・シミュレーション結果出力部、１２６・・・混載計画決定シミュレーション部、１３０・・・記憶部、１３１・・・配送実績情報記憶部、１３２・・・配送マスタ情報記憶部、１３３・・・配送契約条件記憶部、１３４・・・受注情報記憶部、１３５・・・シミュレーション結果記憶部、１４０・・・通信部、１５０・・・入力部、１６０・・・出力部 DESCRIPTION OF SYMBOLS 1 ... Delivery contract condition simulation system, 50 ... Network, 100 ... Delivery contract condition simulation apparatus, 120 ... Control part, 121 ... Delivery performance data estimation part, 122 ... Dividing profit contents Analysis unit, 123... Contract condition change scenario registration unit, 124... Delivery contract condition change simulation execution unit, 125... Simulation result output unit, 126. , 131... Delivery result information storage unit, 132... Delivery master information storage unit, 133... Delivery contract condition storage unit, 134 .. order information storage unit, 135. 140: Communication unit, 150 ... Input unit, 160 ... Output unit

Claims (7)

  1. 　荷主の配送条件に基づき予め定められたコスト情報を記憶する記憶部と、
    　前記荷主の配送条件とコストとを含む実績データを用いて物量データを推定する配送実績データ推定部と、
    　前記荷主の配送に関する実績データを用いて、前記配送条件との間の収益内容についての乖離を特定し、乖離を可視化して表示する収益内容乖離解析部と、
    　前記配送条件を一部または全部変更して、前記配送実績データ推定部が推定した前記物量データを用いてコストを計算する配送契約条件変更シミュレーション実行部と、
    　を備えるシミュレーション装置。     A storage unit for storing cost information determined in advance based on the delivery conditions of the shipper;
    A delivery record data estimation unit for estimating quantity data using record data including delivery conditions and costs of the shipper;
    Using the actual data related to the delivery of the shipper, the divergence of the revenue content between the delivery conditions is specified, and the revenue content divergence analysis unit that visualizes and displays the divergence;
    A delivery contract condition change simulation execution unit for calculating a cost using the quantity data estimated by the delivery result data estimation unit by changing part or all of the delivery conditions;
    A simulation apparatus comprising:
  2. 　請求項１に記載のシミュレーション装置であって、
    　前記収益内容乖離解析部は、輸送会社別の前記配送条件との間の乖離を特定し、乖離を可視化して表示する、
    　ことを特徴とするシミュレーション装置。     The simulation apparatus according to claim 1,
    The revenue content divergence analysis unit identifies a divergence between the delivery conditions for each shipping company and visualizes and displays the divergence.
    A simulation apparatus characterized by that.
  3. 　請求項１に記載のシミュレーション装置であって、
    　前記収益内容乖離解析部は、所定の期間別の前記配送条件との間の乖離を特定し、乖離を可視化して表示する、
    　ことを特徴とするシミュレーション装置。     The simulation apparatus according to claim 1,
    The revenue content divergence analysis unit identifies a divergence between the delivery conditions for each predetermined period, visualizes and displays the divergence,
    A simulation apparatus characterized by that.
  4. 　請求項１に記載のシミュレーション装置であって、
    　前記配送実績データ推定部が推定した前記物量データを用いてコストを計算する処理において、変更する前記配送条件が他の荷主との混載を許可するものである場合には、混載を許可している他の荷主の物量データを読み込み、最小単位に満たない荷を合算させてコストを算出する混載計画決定シミュレーション部、
    　を備えるシミュレーション装置。     The simulation apparatus according to claim 1,
    In the process of calculating the cost using the quantity data estimated by the delivery record data estimation unit, if the delivery condition to be changed is one that permits mixed loading with another shipper, mixed loading is permitted. A loading plan decision simulation unit that reads the quantity data of other shippers and calculates the cost by adding the loads that are less than the minimum unit,
    A simulation apparatus comprising:
  5. 　荷主の配送条件とリードタイムとを含む実績データを記憶する記憶部と、
    　前記実績データを用いて、所定の期間における前記配送条件が同じ実績についてリードタイムの乖離を可視化して表示する収益内容乖離解析部と、
    　を備えるシミュレーション装置。     A storage unit for storing performance data including delivery conditions and lead times of the shipper;
    Revenue content divergence analysis unit that visualizes and displays the divergence of the lead time for the results with the same delivery condition in a predetermined period using the result data;
    A simulation apparatus comprising:
  6. 　請求項５に記載のシミュレーション装置であって、
    　前記収益内容乖離解析部は、他の荷主の実績データを用いて、輸送会社別に、所定の期間における前記配送条件が同じ実績についてリードタイムの平均を可視化して表示する、
    　ことを特徴とするシミュレーション装置。     The simulation device according to claim 5,
    The revenue content divergence analysis unit visualizes and displays the average lead time for the results with the same delivery conditions in a predetermined period for each shipping company, using the actual data of other shippers.
    A simulation apparatus characterized by that.
  7. 　シミュレーション装置を用いたシミュレーション方法であって、
    　前記シミュレーション装置は、
    　制御部と、
    　荷主の配送条件に基づき予め定められたコスト情報を記憶する記憶部と、を備え、
    　前記制御部は、
    　前記荷主の配送条件とコストとを含む実績データを用いて物量データを推定する配送実績データ推定ステップと、
    　前記荷主の配送に関する実績データを用いて、前記配送条件との間の収益内容についての乖離を特定し、乖離を可視化して表示する収益内容乖離解析ステップと、
    　前記配送条件を一部または全部変更して、前記配送実績データ推定ステップにて推定した前記物量データを用いてコストを計算する配送契約条件変更シミュレーション実行ステップと、
    　を実行するシミュレーション方法。     A simulation method using a simulation apparatus,
    The simulation apparatus includes:
    A control unit;
    A storage unit that stores cost information determined in advance based on the delivery conditions of the shipper,
    The controller is
    A delivery record data estimation step for estimating quantity data using record data including delivery conditions and costs of the shipper;
    Revenue content divergence analysis step for identifying the divergence about the revenue content with the delivery conditions using the actual data on the delivery of the shipper, and visualizing and displaying the divergence;
    A delivery contract condition change simulation execution step of calculating a cost using the physical quantity data estimated in the delivery performance data estimation step by changing part or all of the delivery conditions;
    Simulation method to execute.
PCT/JP2014/071740 2014-08-20 2014-08-20 Simulation device and simulation method WO2016027322A1 (en)

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JP2021144382A (en) * 2020-03-11 2021-09-24 株式会社Logicost Physical distribution cost analysis method, physical distribution cost analysis program, recording medium with physical distribution cost analysis program recorded therein, and physical distribution cost analysis device

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JP2002128229A (en) * 2000-10-23 2002-05-09 Shinei Seishi Kk Forwarder selection system
JP2002312441A (en) * 2001-04-10 2002-10-25 Everest Kk Carrier selection support system

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JP2002128229A (en) * 2000-10-23 2002-05-09 Shinei Seishi Kk Forwarder selection system
JP2002312441A (en) * 2001-04-10 2002-10-25 Everest Kk Carrier selection support system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021144382A (en) * 2020-03-11 2021-09-24 株式会社Logicost Physical distribution cost analysis method, physical distribution cost analysis program, recording medium with physical distribution cost analysis program recorded therein, and physical distribution cost analysis device
JP7282387B2 (en) 2020-03-11 2023-05-29 株式会社Logicost Distribution cost analysis method, distribution cost analysis program, recording medium recording distribution cost analysis program, and distribution cost analysis device

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