WO2022270162A1 - 情報処理システム、倉庫の管理方法及び倉庫制御装置 - Google Patents
情報処理システム、倉庫の管理方法及び倉庫制御装置 Download PDFInfo
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- G—PHYSICS
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- 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
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
Definitions
- the present invention relates to an information processing system for predicting work in a distribution center, a warehouse management method, and a warehouse control device.
- delivered goods are stored, and when an order is received, the relevant goods are taken out by picking work, sorted and packed by assortment work, and then shipped to the customer. be done.
- Patent Document 1 is an example of technology for predicting work hours in a distribution center.
- the most recent work results strongly reflect the bias of workers and temporary orders, while the work results for a long period of time show a bias in the types and locations of products shipped due to seasonality and fashion. It was found that it reflects the fluctuation of various working hours due to the appearance of .
- the present invention has been made in view of the above problems, and it is an object of the present invention to predict the work time in consideration of various variable factors that affect the work time in the distribution center.
- the present invention comprises a warehouse control device having a processor and a memory, a transport device capable of transporting a storage section for storing articles according to a transport instruction from the warehouse control device, and a storage section connected to the warehouse control device. and a terminal for exchanging work information at a work station where at least one or more types of work related to warehousing or shipping of goods is performed, wherein the warehouse control device transmits and receives work information from the terminal to the work station a storage unit that acquires information related to work results among the work information related to at least one of warehousing and warehousing and stores it as log information; a control unit that generates a plurality of performance data, which is information related to work time in each of a plurality of periods of different lengths, and estimates the predicted work time for each of the at least one type of work based on the plurality of performance data; , have
- the present invention by predicting the working time based on the working time of a plurality of periods of different lengths, it is possible to realize highly accurate prediction of the working time in consideration of various fluctuation factors. Become.
- by properly grasping delays in work within the distribution center it is possible to make appropriate management decisions to control delays, such as increasing or decreasing the number of workers and selection of work, and to control increases in costs due to work delays. is expected.
- FIG. 1 is a block diagram showing an embodiment of the present invention and showing an example of a configuration of an information processing system
- FIG. 1 is a perspective view showing an embodiment of the present invention and showing an outline of a distribution center
- FIG. 1 is a flow chart showing an embodiment of the present invention and showing an example of processing performed in an information processing system
- FIG. 4 is a first half of a diagram showing an example of a station log in an embodiment of the present invention
- FIG. 10 is the latter half of the diagram showing the embodiment of the present invention and showing an example of a station log
- It is a figure which shows the Example of this invention and shows an example of station performance data.
- FIG. 10 is a diagram showing another example of a prediction screen, showing the embodiment of the present invention.
- FIG. 1 is a block diagram showing an example of the configuration of an information processing system according to an embodiment of the present invention.
- the information processing system of this embodiment has a warehouse control device 100 , a network 90 , and a plurality of transport devices 1 and a plurality of station terminals 7 connected to the warehouse control device 100 via the network 90 .
- the warehouse control device 100 turns the carrier device 1 into a rack 8 (storage unit) as a picking station (or work station).
- a rack 8 storage unit
- An example in which a worker carries out a picking operation is shown.
- the warehouse control device 100 is a computer including an arithmetic device 110, a memory 120, an input device 130, an output device 140, a storage device 150, and a communication interface 170. Note that the warehouse control device 100 is not limited to the configuration shown in FIG.
- the warehouse control device 100 may be one computer, or may be composed of a plurality of computers. Further, each device included in the warehouse control device 100 may be arranged in one computer, or may be composed of a plurality of distributed devices. Each program and each information that the storage device 150 has may be stored in one storage device, or may be divided and stored in a plurality of storage devices so as to be distributed.
- the storage device 150 has a non-volatile storage medium and stores programs executed by the arithmetic device 110 and data used by the programs.
- programs executed by the arithmetic device 110 and data used by the programs.
- a route creation program 161 a route creation program 161
- a data input/output program 162 a data analysis program 163 (control section), and a transport device control program 164 are stored in the storage device 150, and the arithmetic device 110 stores necessary programs in memory. 120 and run.
- Examples of data stored in the storage device 150 include order information 200, inventory information 220, shelf information 230, worker work information 240, work schedule information 250, device information 260, and route data 270. , work day characteristics 280, forecast data 290, station log 310, station performance data 320, worker performance data 330, period performance data 340, and weighting coefficient 350 are stored.
- the route creation program 161 calculates the route along which the conveying device 1 moves based on preset map information (not shown). The route creation program 161 calculates a route along which the conveying device 1 moves, based on, for example, the position of the article (or product) to be picked and the position of the destination picking station.
- the transport device control program 164 instructs the available transport device 1 which shelf 8 is to be transported and which picking station is the transport destination.
- the data input/output program 162 accepts order information, accepts input from the station terminal 7 operated by the worker, accepts sensor data from the transport device 1, etc., and accumulates them in the station log 310. Further, when the data input/output program 162 receives a command to start the transport device 1 from the station terminal 7 , it transmits a command generated by the transport device control program 164 to the transport device 1 .
- the data analysis program 163 Based on the station log 310, the data analysis program 163 generates station performance data 320 recording working hours for each picking station, and worker performance data 330 recording working hours for each worker.
- the performance data 340 by period is aggregated, and work forecast data is calculated for each picking station and stored in the forecast data 290 .
- the data analysis program 163 aggregates the contents of the prediction data 290, generates a prediction screen 51, displays it on the output device 140, and visualizes the progress of the picking station work being performed in the warehouse of the distribution center.
- the order information 200 is information of an order requesting shipment of goods, and stores information of goods to be picked.
- the inventory information 220 stores information regarding the inventory of goods, such as information on the shelf 8 where the goods are arranged, the arrangement position of the goods in the shelf 8, the quantity, the weight, and the like.
- the shelf information 230 stores information such as the position and weight of the shelf.
- the worker work information 240 stores information about the worker's work schedule and the worker's experience and status.
- the information on the worker's experience and condition may include information such as the length of service of the worker, the height of the worker, the presence or absence of injuries, and information on the continuous working hours of the day.
- the work schedule information 250 stores information such as an item to be worked on for each picking station, a scheduled work completion time, and a worker who performs the work.
- the work schedule information 250 is data generated in advance, and may be input from the input device 130 of the warehouse control device 100 or received from an external computer, for example.
- the device information 260 stores the identification information, position, operating state, etc. of the transport device 1 .
- the route data 270 stores information on the route in the warehouse for each transport device 1 .
- the work day characteristics 280 are obtained by assigning attributes to work days according to various conditions. For example, in addition to information such as the total amount of incoming/outgoing work, conditions such as seasons, the presence or absence of events, weather, disasters, and failures. Attribution by Here, as an example, information on events such as sales held at malls handled by the distribution center, information on seasons, and information on the occurrence of disasters and failures are stored.
- the station log 310 accumulates the work performed at the picking station and the log of the operation of the transport device 1.
- the station performance data 320 extracts data for each picking station from the station log 310, and stores the start and end times of work, work details, and the like.
- the worker performance data 330 extracts data for each worker from the station log 310 and stores work start and end times, work content, work load, and the like.
- the period-by-period result data 340 stores, for each picking station, statistical information on working hours extracted for each type of work from the station result data 320 for a plurality of preset periods. Note that this embodiment shows an example in which the average time is adopted as the statistical information.
- the weighting factor 350 stores a factor used when calculating the predicted completion time of various tasks for each picking station. Note that the weighting factor 350 is preset information.
- the weighting factor 350 may be a variable value set by the user, or the weighting factor may be automatically calculated using AI based on past performance data.
- the prediction data 290 stores the time when the work is completed for each picking station calculated by the data analysis program 163 using the station performance data 320, the worker performance data 330, and the weighting factor 350.
- the input device 130 is composed of a keyboard, mouse, touch panel, or the like.
- the output device 140 is configured by a display or the like.
- the communication interface 170 communicates with the transport apparatus 1 and other computers via a network 90 such as radio.
- the transport device 1 is an autonomous mobile body that can automatically transport the shelves 8 loaded with articles according to commands from the warehouse control device 100 .
- the transport device 1 is an automatic transport device having a control device 2 , a storage device 4 , a drive device 3 , a sensor 5 and a communication interface 6 .
- the sensor 5 includes, for example, a vibration sensor (acceleration sensor) and an image sensor.
- the control device 2 includes an arithmetic device 21 and a memory 22.
- a self-position estimation program 23 , a travel control program 24 , a measurement program 25 and a communication program 26 are loaded into the memory 22 and executed by the arithmetic unit 21 .
- the arithmetic unit 21 is composed of a microcomputer and a processor.
- the self-position estimation program 23 calculates the position of the transport device 1 based on image data (image or video data) obtained from the image sensor. Note that this embodiment shows an example in which markers indicating positions are displayed in advance on the floor of the warehouse. The self-position estimation program 23 calculates the position of the conveying device 1 from the markers read by the image sensor.
- the markers placed on the floor are information that can be read by the sensor 5 of the transport device 1, such as a QR code (registered trademark).
- the position estimation of the transport device 1 may be configured to be performed by the warehouse control device 100 by transmitting image data or the like obtained from an image sensor to the warehouse control device 100 . Markers may also be referred to as marks or fiducial markers.
- the floor of a warehouse is managed in multiple compartments, and each of the multiple compartments has a marker indicating the location of that compartment.
- the conveying device 1 travels on the floor and reads the markers written on the floor of each section when passing over each section to acquire information about the position of the section.
- the marker may contain information for specifying the position of the section, for example, the position information of the section, or information associated with the position information of the section (for example, the identification information of the section, etc.). ).
- the travel control program 24 controls the drive device 3 based on the current position of the transport device 1 and the route data 270 received from the warehouse control device 100 .
- the warehouse control device 100 transmits the route data 270 for each transport device 1 generated by the route creation program 161 to the transport device 1 , and the transport device 1 stores the route data 41 in the storage device 4 .
- the measurement program 25 acquires the sensor data acquired from the sensor 5, the travel speed and acceleration acquired from the travel control program 24, and the position of the transport device 1 calculated by the self-position estimation program 23, and transmits them to the warehouse control device 100. do.
- the sensor data includes vibration data from the vibration sensor and floor image data from the image sensor.
- the timing at which the measurement program 25 transmits the sensor data to the warehouse control device 100 may be at a predetermined timing or at a predetermined cycle (for example, every 24 hours).
- the storage device 4 is composed of a non-volatile storage medium and stores each program and data used by each program. Examples of data include route data 41 , map information 42 , measurement data 43 , device information 44 , travel record data 45 , and floor information 46 .
- the route data 41 stores the route data received from the warehouse control device 100.
- the map information 42 stores map information received from the warehouse control device 100 .
- the measurement data 43 stores sensor data acquired by the sensor 5 described above and data acquired or calculated by each program.
- the device information 44 stores the identifier (device ID) of the conveying device 1, the state of the device, information about the presence or absence of loading on the shelf, the position of the device, the remaining battery capacity, the cumulative travel distance, the cumulative number of accelerations, and the like.
- the device information 44 may be information equivalent to the information about the conveying device 1 in the device information 260 .
- the travel record data 45 stores a history such as the path traveled by the conveying apparatus 1, the state (vibration) of the floor surface for each area, and the mode of movement.
- the driving device 3 supplies electric power to the truck 31, the driving wheels 33, the table 32, the auxiliary wheels (casters) 34, the motor 38 as a power source for driving the driving wheels 33 and the table 32, and the motor 38.
- a battery (not shown) is included.
- the motors 38 that drive the driving wheels 33 and the table 32 can be configured as independent motors.
- the driving device 3 raises the shelf 8 by raising the table 32 after entering under the shelf 8 . Then, the driving device 3 moves toward the indicated position with the shelf 8 lifted, lowers the table 32, and lowers the shelf 8 onto the floor surface.
- the computing device 21 operates as a functional unit that provides a predetermined function by executing processing according to the program of each functional unit.
- the arithmetic unit 21 functions as a travel control unit by executing processing according to the travel control program 24 . The same is true for other programs. Further, the arithmetic unit 21 also operates as a functional unit that provides functions of multiple processes executed by each program.
- the station terminal 7 is installed at each picking station where work is carried out by workers.
- the station terminal 7 displays the work schedule information 250 transmitted from the warehouse control device 100 to present work details to the worker, and also accepts input from the worker and transmits it to the warehouse control device 100 .
- the station terminal 7 includes a communication interface 71 , an input device 72 , an output device 73 , a control device 74 and a storage device 75 .
- the communication interface 71 communicates with the warehouse control device 100 via the network 90 .
- the input device 72 is composed of a touch panel, a keyboard, or the like.
- the output device 73 is composed of a display, a speaker, and the like.
- the control device 74 is composed of a microcomputer or the like, and executes a predetermined program.
- the storage device 4 stores programs and data.
- the station terminal 7 receives the work schedule to be performed at the picking station from the warehouse control device 100 and stores it in the picking work information 76 of the storage device 75 .
- the station terminal 7 outputs to the output device 73 a command or the like according to the work situation of the worker from the picking work information 76 .
- the worker operates the station terminal 7 at the start of the work or after the predetermined work is completed to obtain work instructions.
- the input device 72 of the station terminal 7 includes a picking start button, a picking completion button, an sorting start button, an sorting completion button, a departure button, a stop button, a recovery button, and the like.
- the worker After pressing the picking start button, the worker acquires the designated item from the shelf 8 and carries it to a predetermined position.
- the worker presses the departure button When starting the next work, the worker presses the departure button to cause the warehouse control device 100 to move the transport device 1 and move the shelf 8 to be picked next to the picking station.
- the control device 74 transmits the details of the operation received by the input device 72 to the warehouse control device 100 .
- the warehouse control device 100 receives the details of the operation from the station terminal 7, it accumulates the received details in the station log 310, which will be described later.
- FIG. 2 is a perspective view showing an example layout of a warehouse in a distribution center.
- the distribution center has storage space 12 .
- a plurality of shelves 8 are arranged vertically and horizontally in a grid pattern.
- the shelves 8 form "islands" of 2 x 6 or 1 x 6 shelves 8 .
- a plurality of transport devices 1 are arranged in the storage space 12 .
- the conveying device 1 enters the lower part of the shelf 8, lifts the shelf 8, and then moves it.
- a plurality of chargers 15 for charging the transport device 1 are arranged at predetermined locations around the storage space 12 .
- a plurality of picking stations 16-1 to 16-4 are arranged at predetermined positions on the outer edge of the storage space 12.
- the workers 17-1 to 17-3 perform the warehousing and shipping operations of the articles
- the work robot 18-1 performs the warehousing and shipping operations. do business.
- the picking station 16 connected to the storage space 12 is equipped with safety light curtains 81, 81 that detect the entry of workers. Between the safety light curtains 81, 81 is a frontage 80 for arranging the shelf 8 and performing the picking operation.
- the safety light curtains 81, 81 are turned off so that the worker 17 can perform the picking operation.
- the safety light curtains 81, 81 are turned on, and an alarm or the like is issued when a worker 17 or the like enters through the frontage 80. Output.
- the station terminal 7 is arranged near the frontage 80 at the picking station 16 where the worker 17 works.
- Work spaces 19-1 to 19-4 for sorting and packing are installed at predetermined positions on the periphery of the picking station 16. As shown in FIG.
- the size of the work space 19 and the size of the container such as boxes for sorting and packing may differ for each picking station 16, and these differences are factors that affect the workability of the worker 17.
- the difference in the positions of the picking stations 16-1 to 16-3 in the warehouse is also a factor that affects the operating rate of the worker 17.
- the environment of picking stations 16 is not uniform, with picking stations 16 closer to toilets tending to have a higher utilization rate and picking stations 16 farther from the toilets tend to have a lower utilization rate due to walking distance.
- the work time may be affected by factors related to the relative relationship between the picking station position and the storage position of the items to be put in and out. For example, it is conceivable that a picking station close to a location where a large number of items with relatively high warehousing/retrieving frequency are stored has a high operating rate. Also, in other instances, picking stations near locations where heavy and bulky items are stored may experience high utilization and relatively high workloads. In this way, there are variations in work content, work load, and work time for each picking station. Moreover, these variations are not constant, and may change according to changes in seasons, trends, and storage positions of articles.
- the work performed by the worker 17 at the picking station 16 is an example of picking work, sorting work, picking work, and waiting work for each of the shipping work and the warehousing work.
- the standby work here refers to the case where the picking station 16 is in a standby state without performing the predetermined work, and as described above, it is included in the shipping work or the warehousing work. Alternatively, it may be handled in the same way as the shipping business and the warehousing business, such that the state in which the work related to the shipping business and the warehousing business is not performed is set to the standby state.
- the delivery work consists of the work of taking out the articles stored on the shelf 8 according to the destination, sorting them by sorting destination, and packing them into the storage section for each sorting destination.
- the warehousing task is a task of sorting the articles arriving at the warehouse by the racks 8 where they are stored and arranging the sorted articles at predetermined positions on the shelves 8 .
- each work of the shipping business and each work of the warehousing business are defined as follows.
- the picking work of the delivery work is work in which the worker 17 takes out the designated item from the shelf 8 that has arrived at the frontage 80 and moves it to the work space 19 .
- the item designation can be displayed on the output device 73 of the station terminal 7 .
- the sorting work of the shipping work is the work of putting the items taken out in the work space 19 into boxes (transportation materials) according to the destination and packing the boxes.
- the designation of the destination of the article can be displayed on the output device 73 of the station terminal 7 .
- the unloading work of the unloading work is the work of operating the station terminal 7 and requesting the next shelf 8 after the picking work of the shelf 8 arranged at the frontage 80 is completed.
- the warehouse control device 100 sends a command to move the shelf 8 at the frontage 80 to the transport device 1 and commands another transport device 1 to move the next shelf 8 to the frontage 80 .
- Standby work is work that waits for commands related to the next work, such as waiting for assignment of work to the picking station 16, for both shipping work and warehousing work. It should be noted that the standby work referred to here refers to a case where the picking station 16 is in a standby state without performing a predetermined work.
- the picking work of the warehousing work is the work of picking out the instructed items among the items that have arrived at the frontage 80 from the truck or pallet and moving them to the work space 19 . It should be noted that the item can be specified on the output device 73 of the station terminal 7 in the same manner as in the delivery work.
- the sorting work of the warehousing work is the work of storing the items taken out to the work space 19 on the shelf 8 according to the storage destination.
- the designation of the shelf 8 for storing the article can be displayed on the output device 73 of the station terminal 7 .
- the unloading work of the warehousing work is the work of operating the station terminal 7 and requesting the next shelf 8 after completing the sorting work of the shelves 8 arranged at the frontage 80 .
- FIG. 3 is a flow chart showing an example of processing performed in the information processing system of the distribution center.
- the work schedule information 250 is generated from the inventory information 220, the shelf information 230, and the worker work information 240 (S1). This process may be generated from the input device 72 or may be generated by an external computer and acquired by the warehouse control device 100 .
- the work schedule information 250 includes the picking station 16 that performs the work, the assignment of the worker 17, information on the work target article and shelf 8, and the time to complete the work.
- the worker 17 When the work starts, the worker 17 carries out the picking work, operates the picking button of the station terminal 7, and moves the first shelf 8 to the picking station 16 (S2). The worker 17 presses the picking start button of the station terminal 7 and then starts the picking work. Information on the article to be picked is displayed on the output device 73 of the station terminal 7 .
- the control device 74 of the station terminal 7 notifies the warehouse control device 100 of the start of picking work.
- the warehouse control device 100 adds a time stamp to the information of the picking station 16 and the worker 17, and generates picking start log information in the station log 310 (S3).
- the worker 17 presses the sorting start button of the station terminal 7, sorts the articles into the destinations and storage units displayed on the output device 73 of the station terminal 7, and packs them (S4). .
- the control device 74 of the station terminal 7 notifies the warehouse control device 100 of the start of the sorting work.
- the warehouse control device 100 adds time stamps to the information of the picking stations 16 and workers 17 and generates log information of the completion of the picking work and the start of the sorting work in the station log 310 .
- the worker 17 presses the exit button on the station terminal 7 to request the next shelf 8 (S5).
- the control device 74 of the station terminal 7 notifies the warehouse control device 100 of the completion of the sorting work.
- the warehouse control device 100 adds time stamps to the information of the picking stations 16 and workers 17 and generates log information of the completion of the sorting work and the start of the picking work in the station log 310 . Note that the warehouse control device 100 generates log information indicating completion of the dispatch work in the station log 310 when the shelf 8 requested in the dispatch work arrives at the designated picking station 16 .
- the worker 17 enters standby work.
- the worker 17 operates the station terminal 7 at the start and end of the standby work to notify the warehouse control device 100 of the start and end of the standby work.
- the warehouse control device 100 receives these notifications, generates log information of the start and end of standby work, and accumulates it in the station log 310 .
- the standby work referred to here refers to a case where the picking station 16 is in a standby state without performing a predetermined work. Here, it is explained that it is included in the shipping business or the warehousing business. You can handle it.
- the worker 17 When the standby work is completed, the worker 17 returns to step S3 and starts the next shipping or warehousing work.
- the worker 17 notifies the warehouse control device 100 of the state of the worker 17 by operating a predetermined button on the station terminal 7 when the work is over or when taking a break.
- the warehouse control device 100 that has received the notification generates log information according to the content of the notification and accumulates it in the station log 310 .
- the warehouse control device 100 performs a process of calculating work completion prediction data 290 in steps S7 to S11 asynchronously with the processes in steps S2 to S6.
- the prediction data calculation process is performed by the data analysis program 163 of the warehouse control device 100 .
- the data analysis program 163 reads the station log 310 at predetermined intervals and estimates the task completion time for each picking station 16 .
- the warehouse control device 100 reads unprocessed log information from the station log 310, acquires the start time and end time of work for each picking station 16, generates information about the progress of work, and Stored in performance data 320 (S7).
- the station performance data 320 can be added with information on the worker 17 in charge of the task and the contents of the task.
- the warehouse control device 100 reads unprocessed log information from the station log 310, acquires the work start time and end time for each worker 17, generates information on the progress of the work, and performs the work. This is stored in the staff record data 330 (S8). As will be described later, the details of work and the load of the worker 17 can be added to the worker performance data 330 .
- the load on the worker 17 can be set in advance according to the weight of the article to be handled, the height difference of the worker 17, and the like.
- the weight of some items varies according to the season. For example, in the case of clothing, winter items tend to be heavy and summer items tend to be light. tend to increase. Therefore, by setting a load according to the weight of articles of the same type, it is possible to improve the accuracy of predicting work completion.
- the warehouse control device 100 calculates the average time for each work (or for each number of lines) for each picking station 16 from the station performance data 320 and the worker performance data 330, and calculates the average time for each work (or for each number of rows) for each period.
- Data 340 is updated (S9).
- the warehouse control device 100 of the present embodiment calculates the average time for each work in a plurality of periods with different lengths, as will be described later, for each work.
- the warehouse control device 100 uses the period-by-period result data 340 updated in step S9, the weighting factor 350, and the work day characteristics 280 to pick the predicted completion time for each task and each task as described later. It is calculated for each station 16 to generate prediction data 290 (S10).
- the warehouse control device 100 predicts the completion time of work and tasks based on the average time of a plurality of periods of different lengths, taking into account short-term, medium-term, and long-term factors. can generate highly accurate prediction data 290. Note that the weighting factor 350 is set in advance for each period.
- the warehouse control device 100 can predict the work completion time in consideration of the case where the items handled are uneven due to the occurrence of events for each work day. For example, if a known event or failure occurs on the day of work or on the previous day, the work completion time is predicted by referring to the station performance data 320 and the worker performance data 330 on the day when the similar event or failure occurred. By doing so, accuracy can be improved.
- the difference in the environment of each picking station 16 means the variation in work content, workload, and work time depending on the location of the picking station, and the influence of changes in season and fashion on the variation, and changes in the storage position of goods. include.
- the warehouse control device 100 generates a prediction screen 51 indicating the progress of the entire warehouse from the generated prediction data 290 based on the predicted completion time of the work in the entire warehouse of the distribution center and for each picking station 16, and outputs it. 140.
- the distribution center or warehouse manager can grasp the progress of work for the entire warehouse or for each picking station 16. As a result, it becomes possible to predict the work time in consideration of various variable factors that affect the work time in the distribution center.
- FIG. Station log 310 is generated by warehouse controller 100 in steps S2-S6 of FIG.
- the station log 310 includes a device name 311, a device ID 312, a tag 1 (313), a tag 2 (314), a tag 3 (315), a tag 4 (316), an extraction start trigger 317, an extraction end Trigger 318 and timestamp 319 are included in one record.
- the device name 311 stores the name of the device that acquired the log.
- the device name 311 stores a code of “ST” when the device that acquired the log is the station terminal 7 .
- the device ID 312 stores identifiers of the picking station 16, the station terminal 7, and the like. In the illustrated example, "E001" is the identifier of the picking station 16 (or station terminal 7).
- Tag 1 (313) stores the status of work, waiting, and other tasks.
- Tag 2 (314) stores the status of the transaction such as warehousing, warehousing, and others.
- Tag 3 (315) and tag 4 (316) store the contents of work such as picking, sorting, and dispatching.
- the extraction start trigger 317 defines the trigger for extracting the start time of the log information defined by tags 1 (313) to 4 (316).
- the extraction end trigger 318 defines a trigger for extracting the end time of the log information defined by tags 1 (313) to 4 (316).
- FIG. 5 is a diagram showing an example of the station performance data 320.
- FIG. Station performance data 320 is generated by warehouse control device 100 in step S7 of FIG.
- Station performance data 320 consists of station ID 321, status 322, worker ID 323, start/end 324, time 325, process ID 326, number of rows 327, shelf ID 328, and article ID x quantity 329. Include in records.
- the station ID 321 stores the identifier of the picking station 16.
- the state 322 stores the contents of the business.
- the worker ID 323 stores the identifier of the worker 17 in charge of the task. Note that the worker ID 323 can store identifiers of a plurality of workers 17 .
- the start/end 324 stores whether the record is the start of business or the end of business.
- the time 325 stores the date and time of start or end.
- the process ID 326 stores the identifier of the work set in the work schedule information 250, which will be described later.
- the number of lines 327 stores the type of article (the number of records) specified by the process ID 326 .
- the shelf ID 328 stores the identifier of the shelf 8 on which the work is performed.
- the article ID ⁇ quantity 329 stores the identifier and quantity of the article to be processed for the specified shelf 8 .
- the state 322 also includes the case where the picking station 16 is in the standby state without performing the predetermined work.
- standby standby work
- FIG. 5 standby work is handled in the same line as delivery work or warehousing work, but as described above, it may be included in warehousing work or warehousing work.
- the number of rows processed in the work schedule information 250 related to this work was "1".
- FIG. 6 is a diagram showing an example of the worker performance data 330.
- the worker performance data 330 is generated by the warehouse control device 100 in step S8 of FIG.
- the worker performance data 330 includes worker ID 331, status 332, start/end 333, time 334, process ID 335, item ID x quantity 336, and load 337 in one record.
- the worker ID 331 stores the identifier of the worker 17.
- the state 332 stores the content of work.
- the start/end 333 stores whether the record is the start of work or the end of work.
- the time 334 stores the date and time of start or end.
- the process ID 335 stores the identifier of the task set in the work schedule information 250, which will be described later.
- Item ID x quantity 336 stores the identifier and quantity of the item to be worked on.
- the load 337 stores the ratio of load given to the worker 17 .
- the load 337 may be determined based on the characteristics of each worker 17, the size and weight of the article to be worked on, and the like.
- the warehouse control device 100 calculates each work time of the state 322 for each process ID 335 of the worker 17, and stores the work time in the state 322 of the station result data 320 corresponding to the process ID 335 and the worker ID 331 of the worker result data 330. It can be used as the working hours of the business.
- FIG. 7A is a diagram showing an example of performance data 340 by period.
- the period performance data 340 is generated and updated by the warehouse control device 100 in step S9 of FIG.
- Result data by period 340 includes station ID 341, work content 342, period A average 343, period B average 344, period C average 345, period D average 346, and update date/time 347. Include in records.
- the station ID 341 stores the identifier of the picking station 16.
- the work content 342 stores the content of the work performed at the picking station 16 .
- Period A average 343 through Period D average 346 store the average time for each task over multiple periods of different lengths.
- FIG. 7B shows the length of each period A to D of the performance data 340 by period.
- the length of each period A to D is set in advance, and can be appropriately set according to the operational status of the distribution center or warehouse.
- the period A is one hour in the past
- the period B is one week in the past
- the period C is one month in the past
- the period D is three months in the past.
- the average 343 of the period A in FIG. 7A is calculated for each work content 342 from the worker performance data 330 for the past one hour from the present to the end of the work, as shown in formula (1) in FIG. 7B.
- the average 344 of the period B stores the average value of working time for each work content 342 from the worker performance data 330 for the past one week from the present
- the average 345 of the period C stores the average value of the work time from the present to the past one month.
- the average value of working time for each work content 342 is stored from the worker performance data 330 of
- the average 346 of period D is the working time for each work content 342 from the worker performance data 330 for the past three months from the present. Store the average value.
- the performance data by period 340 is data in which the average time for each work is stored for each picking station 16 .
- the average work time for each period is a value obtained by dividing the sum of work times performed at each picking station 16 by the number of rows for each work.
- the shipping work and the warehousing work in the figure may be stored in the period-specific result data 340 for each picking station 16 (ST in the figure) as the sum of the average times of picking work, sorting work, shipping work, and waiting work. .
- FIG. 8 is a diagram showing an example of the work day characteristics 280.
- the work day characteristic 280 is information set in advance to correct the predicted completion time.
- Workday characteristics 280 include dates 281, events 282, seasons 283, and correction factors 284 in one record.
- the event 282 stores the contents of an event (or an event scheduled to occur) that occurred on the date 281.
- Season 283 stores the season of date 281 .
- the correction coefficient 284 stores a coefficient for correcting the predicted completion time according to the event 282 and season 283 .
- the correction coefficient stores a preset value according to the contents of the event 282 and the season 283 .
- FIG. 9 is a diagram showing an example of the weighting factor 350.
- the weighting factor 350 is information that presets the weight given to each period A to D when calculating the predicted completion time.
- a weighting factor 350 includes a station ID 351 and factors A352 to D355 in one record.
- the station ID 351 stores the identifier of the picking station 16.
- FIG. 10 is a diagram showing an example of the work schedule information 250.
- the work schedule information 250 is information set in step S1 of FIG.
- the work schedule information 250 includes a process ID 251, work content 252, station ID 253, worker ID 254, scheduled completion time 255, article ID 256, quantity 257, shelf ID 258, sorting destination 259, and actual completion time. 2511 in one record.
- the process ID 251 stores a unique identifier within the warehouse.
- the work contents 252 stores the contents of work such as delivery and warehousing.
- the station ID 253 stores the identifier of the picking station 16 that carries out the work.
- the worker ID 254 stores the identifier of the worker 17 assigned to the picking station 16.
- the scheduled completion time 255 stores the target completion date and time of the task.
- the product ID 256 stores the identifier of the product handled by the business.
- Quantity 257 stores the quantity of the item.
- the shelf ID 258 stores the identifier of the shelf 8 where the item is stored. Note that the relationship between the article and the shelf 8 is set by inventory information 220, which will be described later.
- the sorting destination 259 stores destinations to which articles are delivered. If the business is warehousing, the supplier of the goods can be stored.
- the actual completion time 2511 stores the date and time when the work was actually completed.
- FIG. Corresponding data or the same data may be used for the slip number of the order information 200 and the process ID of the work schedule information 250 .
- FIG. 11 is a diagram showing an example of the prediction data 290.
- the prediction data 290 is information generated in step S10 of FIG.
- the prediction data 290 includes a process ID 291, work content 292, station ID 293, worker ID 294, predicted completion time 295, work content 296, start/end 297, and predicted start/end time 298. in one record.
- the process ID 291 stores an identifier corresponding to the process ID 251 of the work schedule information 250.
- the work content 292 stores work corresponding to the work content 252 of the work schedule information 250 .
- the station ID 293 stores the identifier of the picking station 16 corresponding to the station ID 253 of the work schedule information 250 .
- the worker ID 294 stores an identifier corresponding to the worker ID 254 of the work schedule information 250 .
- the predicted completion time 295 stores the date and time when the work predicted by the warehouse control device 100 will be completed.
- the work content 296 stores work items (standby work, picking work, sorting work, dispatch work) included in the work.
- Start/end 297 stores the start and end labels of each task.
- the predicted start time/predicted end time 298 stores the predicted start time or predicted end time of each work predicted by the warehouse control device 100 .
- the predicted start time is the predicted end time of the immediately preceding work
- the predicted start time of the first work at the start of the work is the time when the warehouse control device 100 receives the work start information. can be done.
- FIG. 12 is a diagram showing an example of the device information 260.
- the device information 260 is information acquired from the carrier device 1 by the carrier device control program 164 of the warehouse control device 100 . It is the information of the conveying apparatus 1 instructed to start conveying in step S5 or the like in FIG.
- the device information 260 includes a device ID 261, operating status 262, remaining battery capacity 263, load information 264, position information 265, and overall judgment 266 in one record.
- the device ID 261 stores the identifier given to the transport device 1.
- the operating status 262 indicates the status of the transport apparatus 1, and stores such statuses as, for example, operating, waiting, moving, stopping, and charging.
- the battery remaining amount 263 stores the remaining battery amount (ratio) of the transport device 1 .
- the load information 264 stores load information (running time, running distance, etc.) accumulated in the transport device 1 .
- the position information 265 stores the position of the transport device 1 in the warehouse. In the present embodiment, an example is shown in which the floor surface in the storage space 12 is partitioned into a lattice and the positions are assigned.
- the general judgment 266 stores the status of the transport device 1 determined by the transport device control program 164 based on the remaining battery capacity 263 and the load information 264 .
- the comprehensive judgment 266 indicates, for example, "A” indicating that the device can be used, "B” indicating that maintenance is recommended, and "C” indicating that maintenance is required.
- the device information 260 can include information on the picking station 16, which is the transfer destination assigned to the transfer device 1, operating status, accumulated load, and information on whether it is normal or not.
- the warehouse control device 100 corrects the work time of the picking station 16 based on the number of transport devices 1 heading for the picking station 16 and information on the presence or absence of an abnormality in the transport device 1 to predict work. time can be calculated.
- the calculation of the predicted work time may be corrected.
- FIG. 13 is a diagram showing an example of worker work information 240.
- the worker work information 240 includes worker ID 241, length of service 242, height 243, work schedule consisting of date 244 and time 245, and status 246 in one record.
- the worker ID 241 stores the identifier given to the worker 17.
- the length of service 242 stores the work history of the worker 17 .
- the height 243 stores the height of the worker 17 .
- Date 244 and time 245 store the work schedule of worker 17 .
- the state 246 stores the input value according to the physical condition of the worker 17, the presence or absence of injury, and the like.
- FIG. 14 is a diagram showing an example of the prediction screen 51.
- the prediction screen 51 is generated by the data analysis program 163 in step S11 of FIG.
- the illustrated example is a screen in which the output device 140 displays the dashboard 52 that displays the predicted result of the work progress calculated by the data analysis program 163 . Display of the prediction screen 51 can be commanded from the input device 130 of the warehouse control device 100 .
- the dashboard 52 includes a work target window 52a that displays work goals and work progress regarding the entire warehouse, a progress information window 52b that displays progress and processing results, and an overall progress window that displays the progress of the entire warehouse. a window 52c, a work end time prediction window 52d that displays the predicted completion time of the entire warehouse, a main productivity transition window 52e that displays the productivity of the warehouse, and a work rate/operating rate that displays the work rate and operating rate in the warehouse. Includes availability window 52f.
- the work target window 52a displays today's work start time and work end time, as well as the progress rate and scheduled end time of work at the current time.
- the work start time and work end time are data set in the work schedule information 250 .
- the progress rate is the ratio of the number of processing lines for shipping or warehousing that should be executed within the current day in the station log 310 generated up to the current time, which has actually been executed.
- the scheduled end time is the time at which all tasks are predicted to be completed at the current time.
- the progress information window 52b displays the progress rate, the number of lines, the number of lines/station, the operating station, the station work rate, the device work rate, and the device work rate.
- the progress rate displays the same value for the entire warehouse as the progress rate in the work target window 52a.
- the number of lines indicates the number of lines that have actually been executed among the number of processed lines for all jobs in the work schedule information 250 that should be executed today from the station result data 320 and the worker result data 330 that have been generated up to the current time. Shows the ratio of what is occupied.
- the number of lines/station indicates the number of lines actually executed among the number of lines for the warehousing work and the warehousing work to be executed today among the station performance data 320 and the work schedule information 250 generated up to the current time. Display the percentage of items (which may be for a particular picking station 16 or for all picking stations 16 in the warehouse).
- the operating station displays the ratio of the number of picking stations 16 that have operated at least once during the past n minutes (eg, 10 minutes) from the current time to the total number of picking stations 16 .
- the station work rate is the ratio of the time taken by the picking station 16 during which the picking station 16 performs the unloading task or the warehousing task (it may be the numerical value of a specific picking station 16, number of picking stations 16 in the warehouse).
- the device operating rate is the ratio of the total time spent performing "allocation work", “non-allocation work” or “charging” by the transport device 1 to the elapsed time from the work start time to the current time (specific transport device It may be a numerical value of 1 or a numerical value of the entire conveying apparatus 1).
- the device work rate is the ratio of the total time during which the transport device 1 performed the "allocation work" to the elapsed time from the work start time to the current time (it may be a numerical value of a specific transport device 1, It may be a numerical value for the entire conveying device 1).
- the overall progress window 52c graphically displays the overall progress, batch 2, and batch 3 values.
- the overall progress has the same value as the progress rate of the work target window 52a.
- Batch 2 displays the progress rate at the point in time retroactively by a predetermined time (for example, 60 minutes) from the current time.
- Batch 3 displays the progress rate at the point in time retroactively by a predetermined time (for example, 120 minutes) from the current time.
- the work end time prediction window 52d displays the values of the incoming prediction and the outgoing prediction in a graph.
- the horizontal axis of the graph is time, and the vertical axis is the quantity of articles.
- the forecasted inventory is displayed by a line segment connecting the origin, the forecasted inventory end time, and the forecasted inventory quantity.
- the delivery prediction is displayed by a line segment connecting the origin, the delivery completion prediction time, and the delivery prediction quantity.
- the warehousing indicates the chronological cumulative quantity of the articles that are actually warehousing. In addition, delivery indicates the cumulative number of articles actually delivered in chronological order.
- the main productivity transition window 52e graphically displays the values of the number of rows/h, the number of picks/h, and the number of operating stations.
- the horizontal axis of the graph is time, and the vertical axis is the number of lines (left scale), the number of times, and the number of stations (right scale).
- the number of lines/h displays the chronological cumulative value of the number of processed lines indicating the work performed in one hour.
- the number of picks/h displays the chronological cumulative value of the number of unloading operations (or warehousing operations) executed in one hour.
- the number of operating stations displays the chronological cumulative value of the number of picking stations 16 that have performed work at least once in the past n minutes (for example, 10 minutes) from the current time.
- the working rate/operating rate window 52f graphically displays the values of the station working rate, carrier operating rate, and carrier operating rate.
- the horizontal axis of the graph is time, and the vertical axis is work rate or operating rate.
- the station work rate displays the chronological transition of the station work rate in the progress information window 52b.
- the carrier operating rate displays the time-series transition of the carrier operating rate in the progress information window 52b.
- the transport device work rate displays the chronological transition of the transport device work rate in the progress information window 52b.
- the prediction screen 51 is not limited to the above, and can be changed as appropriate according to the operational status of the distribution center or warehouse.
- the work end time prediction window 52d displays the time to be completed (scheduled completion time 522) and the predicted completion time in order of the picking station 16 (station ID 521) with the largest work delay 524. (Predicted Completion Time 523) may be displayed.
- the work end time prediction window 52d allows the warehouse manager to easily and quickly grasp the picking station 16 whose work is delayed in the warehouse and the magnitude of the delay.
- FIG. 15 is a diagram showing an example of the order information 200.
- the order information 200 includes a serial number 201, slip number 202, store name 203, store code 204, product name 205, product code 206, quantity 207, delivery date 208, and order reception date and time 209. in one record.
- the serial number 201 is a unique number assigned by the warehouse control device 100.
- the slip number 202 is a unique number assigned by the warehouse control device 100 to each order.
- the store name 203 indicates the shipping destination of the article.
- the quantity 207 indicates the number of ordered products specified by the product name 205 and product code 206 in the slip number 202 of the record.
- the order reception date and time 209 stores the date and time when the order with the slip number 202 was received by the warehouse control device 100 (or the distribution center).
- FIG. 16 is a diagram showing an example of inventory information 220.
- the stock information 220 includes a serial number 221, a product name 222, a product code 223, a stock quantity 224, a shelf ID 225, and a shelf arrangement position 226 in one record.
- the shelf ID 225 stores the identifier of the shelf 8 where the item is stored.
- the arrangement position 226 in the shelf stores information used when the worker 17 or the robot 18 performs the picking operation at the picking station 16, for example. For example, in a record that describes "U3R2", the placement position 226 in the shelf is "the third row from the top (U) and the second position from the right (R)" on the shelf 8. Indicates that an item has been placed.
- FIG. 17 is a diagram showing an example of the shelf information 230.
- the shelf information 230 includes serial number 231, shelf ID 232, storage position 233, shelf weight 234, and product weight 235 in one record.
- a unique identifier given to each shelf 8 is stored in the shelf ID 232.
- the shelf ID 232 for example, the identifier of the shelf 8 given by the warehouse control device 100 may be stored.
- the storage position 233 stores the position information of the storage space 12 where the shelf 8 is stored, for example, the coordinates of the map information. When the shelf 8 is being transported, the storage position 233 stores "transporting".
- the shelf weight 234 stores the weight of the shelf 8 itself, and the product weight 235 stores the weight of the items (products, containers that store the products, etc.) mounted on the shelf 8.
- the weight of the goods (shelf + product) transported by the transport device 1 is at least the sum of the "shelf weight” and the "product weight”.
- the weight and inventory number of each item may be recorded, and the weight of the transported item (shelf + item) may be calculated.
- the "weight” is calculated, if the error between the actual weight of the transported item and the calculated value is within the allowable range, the weight of the shelf 8 and some of the items mounted on the shelf 8 , may be excluded from the calculation.
- a weight sensor capable of measuring "the weight of the goods (shelf + goods)" conveyed by the conveying device 1 is mounted, and after the completion of picking, the rack 8 is returned to the storage position. Weight may be measured on occasion. At this time, the weight measured by the transport device 1 may be received by the warehouse control device 100 and recorded as the “weight of the transported article (shelf + product)” in the shelf information 230 .
- step S9 of FIG. 3 the warehouse control device 100 calculates the average value of the work time for each picking station 16 for periods A to D, which have different lengths for each type of work, and stores the average value in the performance data by period 340. .
- the period-by-period result data 340 stores the average time of picking work, the average time of sorting work, the average time of departure work, and the average time of waiting time for each of the periods A to D for each picking station 16. It is
- the warehouse control device 100 calculates the predicted completion time 295 of each work for each picking station 16 using the performance data 340 by period and the weighting coefficient 350.
- the warehouse control device 100 calculates the predicted time for each work (predicted picking time, predicted sorting time, predicted departure time, predicted waiting time) from the following equation (2).
- the average of period A to the average of period D are the average 343 of period A to the average 346 of period D for each work content 342 of the performance data 340 by period in FIG. 7A.
- the coefficient D is the coefficients A352 to D355 of the weighting coefficient 350 in FIG.
- coefficients A352 to D355 may use weighting coefficients specific to the picking station 16 as described above, or weighting coefficients for the entire warehouse.
- the predicted start time (298) obtained by adding each of the predicted picking time, the predicted sorting time, the predicted departure time, and the predicted waiting time is the predicted end time (predicted start time/predicted end time 298) of the prediction data 290 in FIG. ).
- Each predicted time is a predicted working time obtained by predicting the working time of the work currently being performed based on the actual data (station actual data 320, worker actual data 330) for each work content.
- the warehouse control device 100 assumes that a plurality of picking stations 16 are performing the corresponding task (process ID 251), and calculates the estimated time for the corresponding task from the following equation (3).
- the estimated time until the end of the task consisting of each task of the entire picking station 16 that is performing the corresponding task is assorted with the predicted picking time of each picking station 16 from the above equation (3). It is calculated as a value obtained by dividing the total sum of the predicted time, the predicted departure time, and the predicted waiting time by the number of picking stations 16 (the number of operating STs in the drawing) that are carrying out the corresponding task.
- the estimated time until each task is completed is calculated as the estimated picking time for each task, the estimated sorting time for each task, the estimated departure time for each task, and the estimated waiting time for each task.
- the warehouse control device 100 calculates the estimated completion time of the corresponding task (process ID 251) from the following formula (4).
- the number of remaining rows indicates the number of records of unprocessed item ID 256 among the records of processing ID 251 of the corresponding work. Then, a value obtained by subtracting the number of unprocessed records of the item ID 256 from the total number of records with the same processing ID 251 divided by the total number of records with the same processing ID 251 can be used as the progress rate.
- the value obtained by dividing the number of rows of the work schedule information 250 for the shipping or receiving work by the number of picking stations 16 (the number of operating STs) of the work is the sum of the estimated times of each work for each work. is calculated as the estimated time from the time of
- a value obtained by adding the expected completion time of the above equation (4) to the current time is calculated as the predicted completion time 295 of the prediction data 290 .
- the data analysis program 163 of the warehouse control device 100 can also calculate the progress rate for each picking station 16 and display it on the prediction screen 51 .
- the warehouse control device 100 of the present embodiment predicts the work time until the work is completed based on the average value of the work time of a plurality of periods of different lengths for each type of work. Therefore, it is possible to realize highly accurate prediction of work time based on various fluctuation factors.
- the correction coefficient of FIG. 8 can multiply it. As a result, it is possible to correct the scheduled completion time using the correction coefficient 284 corresponding to the event specific to the date on which the shipping or warehousing task is performed, thereby improving the prediction accuracy.
- a mobile terminal such as a smartphone or smart watch may communicate with the warehouse control device 100 to receive work instructions and transmit work progress.
- the information processing system of the above embodiment can be configured as follows.
- a warehouse controller having a processor (computing unit 110) and memory (120); a transport device (1) capable of transporting a storage section for storing articles in accordance with a transport instruction from the warehouse control device (100); and a terminal (station terminal 7) for exchanging work information at a work station (picking station 16) where at least one or more types of work related to warehousing or unloading of goods is performed, wherein the warehouse control device
- a storage unit (100) acquires, from the terminal (7), information relating to work performance among the work information relating to at least one of warehousing and warehousing at the work station (16), and stores the information as log information (station log 310).
- data input/output program 162 and based on the log information (310), work time in each of a plurality of periods (A to D) of different lengths set in advance for each of the at least one or more types of work Generate a plurality of performance data (320, 330) that is information about and a control unit (data analysis program 163) for processing data.
- the warehouse control device 100 can accurately estimate the work completion time based on the station performance data 320 and the worker performance data 330 in each of a plurality of periods of different lengths.
- the plurality of periods (A to D) include a first period (period A) and a second period longer than the first period (period A). 2 periods (period D), wherein said first period (period A) comprises a first worker (17 ), said second period (period D) is a period during which said work is performed at a first work station (16) by a plurality of workers (17),
- the control unit (163) controls first performance data (320, 330), which is information about the working time of the work in the first period (period A), and the work in the second period (period D).
- Acquire second performance data (320, 330) that is information related to the working time of the An information processing system for estimating a predicted work time (255) for said first worker (17) to perform said work at a first work station (16).
- the warehouse control device 100 reflects the results dependent on the worker during the short period A, and the work time reflecting the environment of the picking station 16 not limited to the influence of a specific worker 17 during the long period D. can be estimated.
- the plurality of periods (A to D) include a first period (period A) and a second period longer than the first period (period A).
- 2 periods (period D) wherein the first period (period A) is a period from a first time to a second time on a specific working day, and the second period (period D) is an information processing system comprising at least a plurality of working days.
- the warehouse control device 100 has a first period that reflects the most recent work efficiency that greatly depends on the worker 17, etc. By using the period of 2, it is possible to improve the estimation accuracy of the work time.
- the storage unit (162) further includes information indicating characteristics for each work day
- the control unit (163) stores the When estimating the predicted work time (255) of the work, if the characteristic (work day characteristic 280) of the first work day satisfies a predetermined condition (event 282), then the predetermined condition Acquiring performance data (320, 330) regarding the work hours of the work on one or more second work days that satisfy (282), and based on the performance data (320, 330), predicting the work hours (255 ), an information processing system characterized by estimating
- the warehouse control device 100 refers to the past station performance data 320 and the worker performance data 330 with similar characteristics of the work day to predict the current work time, thereby predicting the work on a specific work day. It is possible to ensure the accuracy of time prediction.
- the first work day is An information processing system characterized by being a day (281) associated with a specific event (282).
- the warehouse control device 100 can refer to the past station performance data 320 and the worker performance data 330 having similar characteristics of the work day to predict the work time on the work day when the specific event 282 occurs. can be ensured.
- the control unit (163) calculates a weighted average of the plurality of performance data (320, 330), thereby each estimated working time (255) is estimated, and the plurality of actual data (320, 330) includes first actual data (320, 330) which is information about the working time in a first period (period A); and second performance data (320, 330) that is information on work hours in a second period (period D) longer than the first period (period A), and the plurality of performance data (320 , 330), the weighting factor corresponding to each of the plurality of performance data (320, 330) is higher than the weighting factor corresponding to the first performance data (320, 330).
- An information processing system characterized in that weight data corresponding to performance data (320, 330) is set to a smaller value.
- the warehouse control device 100 sets the value of the weighting factor 350 smaller for the longer period D when calculating the period-specific performance data 340 for each of the different periods A to D by weighted average.
- the influence of the most recent worker 17 or the like can be strongly reflected.
- the storage unit (162) acquires information about the work performance from the plurality of work stations (16) and uses it as the log information (310).
- the control unit (163) acquires the plurality of work performance data (320, 330) for each of the work stations (16), and calculates the predicted work time (255) for each work station (16). ), an information processing system characterized by estimating
- the warehouse control device 100 can predict the working time according to the environment of the picking station 16, and improve the accuracy of predicting the working time of the entire warehouse.
- At least one work station (16) included in the plurality of work stations (16) is operated by a plurality of workers (17).
- the warehouse control device 100 acquires performance data for each picking station 16, thereby enabling picking not limited to specific workers. It becomes possible to predict the work time according to the environment of the station 16 .
- the warehouse control device 100 can improve the prediction accuracy by estimating the work time in consideration of the information of the transport device 1.
- the warehouse control device 100 can improve the accuracy of the prediction data 290 by taking into account the difference in working time due to the difference in the environment of each picking station 16 based on the information of the worker 17.
- the at least one or more types of work include picking work performed on the storage unit (8), and the control unit (163) controls the plurality of An information processing system characterized by estimating the predicted work time (255) of the picking work based on the performance data (320, 330).
- the warehouse control device 100 can predict the work time of the picking work performed at the picking station 16.
- control unit (163) acquires load information (337) relating to a workload corresponding to the work content of the picking work, (337) and based on the plurality of performance data (320, 330), an information processing system for estimating the predicted work time (255) of the picking work.
- the warehouse control device 100 can improve the prediction accuracy by predicting the work time in consideration of the load of the worker 17 who performs the picking work.
- the warehouse control device 100 can predict the work time for the sorting work performed at the picking station 16.
- the warehouse control device 100 can predict the working time of the departure work performed at the picking station 16.
- the log information (310) is information on the time during which the work station (16) was in a standby state without performing the at least one type of work.
- the control unit (163) acquires information about the time during which the work station (16) was in the standby state in each of the plurality of preset periods (A to D) of different lengths; estimating a predicted waiting time for the work station (16) to be in the waiting state based on the information;
- the warehouse control device 100 can estimate and predict the expected waiting time for the picking station 16 to enter the waiting state.
- the at least one or more types of work include at least a picking work performed on the storage unit (8) and a picking operation performed on the storage unit (8). including an assortment work of sorting articles, and a departure work of starting transportation of the storage section (8) after picking work performed on the storage section (8) by the transport device (1), and
- the unit (162) has work schedule information (250) relating to either or both of the warehousing and warehousing work to be performed on a predetermined work day, and the control unit (163) controls the at least one work Either or both of the warehousing work and the warehousing work on the predetermined work day is completed based on the predicted work time (255), the predicted waiting time, and the work schedule information (250) for each type of An information processing system characterized by estimating a predicted completion time (scheduled completion time 255), which is a date and time predicted to occur.
- the warehouse control device 100 can accurately estimate the completion time of the loading and unloading work on a predetermined work day.
- the warehouse control device 100 can visualize and display the scheduled completion time 255 of the work on a predetermined work day at the current time.
- the present invention is not limited to the above-described embodiments, and includes various modifications.
- the above embodiments are described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the described configurations.
- any addition, deletion, or replacement of other configurations for a part of the configuration of each embodiment can be applied singly or in combination.
- each of the above configurations, functions, processing units, processing means, etc. may be implemented in hardware, for example, by designing a part or all of them in an integrated circuit.
- each of the above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program for realizing each function.
- Information such as programs, tables, and files that implement each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.
- control lines and information lines indicate what is considered necessary for explanation, and not all control lines and information lines are necessarily indicated on the product. In practice, it may be considered that almost all configurations are interconnected.
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Abstract
Description
図2は、物流センタの倉庫のレイアウトの一例を示す斜視図である。物流センタは、保管スペース12を有する。保管スペース12内には、複数の棚8が縦横方向に格子状に配置されている。棚8は、2×6個又は1×6個の棚8からなる「島」を形成している。
図3は、物流センタの情報処理システムで行われる処理の一例を示すフローチャートである。まず、オーダー情報200に基づいて、在庫情報220と、棚情報230と、作業員勤務情報240から作業予定情報250の生成が行われる(S1)。この処理は、入力装置72から生成してもよいし、外部の計算機で生成して倉庫制御装置100が取得するようにしてもよい。
図4A、図4Bはステーションログ310の一例を示す図である。ステーションログ310は、図3のステップS2~S6で倉庫制御装置100によって生成される。
次に、図3のステップS10で行われる作業予測データの生成処理について説明する。倉庫制御装置100は、図3のステップS9で、作業の種類毎に異なる長さの期間A~期間Dについてピッキングステーション16毎に作業時間の平均値を算出して期間別実績データ340に格納する。
なお、上記実施例の情報処理システムは、以下のような構成とすることができる。
前記倉庫制御装置(100)からの搬送指示に従って、物品を格納する収納部を搬送可能な搬送装置(1)と、前記倉庫制御装置(100)に接続されて、前記収納部(棚8)の物品に対する入庫又は出庫に関する少なくとも一種以上の作業が実施される作業ステーション(ピッキングステーション16)における作業情報の授受を行う端末(ステーション端末7)と、を有する情報処理システムであって、前記倉庫制御装置(100)は、前記端末(7)から前記作業ステーション(16)における入庫と出庫の少なくとも一方に関する前記作業情報のうち作業実績に関する情報を取得してログ情報(ステーションログ310)として記憶する記憶部(データ入出力プログラム162)と、前記ログ情報(310)に基づいて、前記少なくとも一種以上の作業の種類毎に、予め設定された異なる長さの複数の期間(A~D)それぞれにおける作業時間に関する情報である複数の実績データ(320、330)を生成し、当該複数の実績データ(320、330)に基づいて、前記少なくとも一種以上の作業それぞれの予測作業時間(完了予定時刻255)を推定する制御部(データ分析プログラム163)と、を有することを特徴とする情報処理システム。
Claims (19)
- プロセッサとメモリを有する倉庫制御装置と、
前記倉庫制御装置からの搬送指示に従って、物品を格納する収納部を搬送可能な搬送装置と、
前記倉庫制御装置に接続されて、前記収納部の物品に対する入庫又は出庫に関する少なくとも一種以上の作業が実施される作業ステーションにおける作業情報の授受を行う端末と、を有する情報処理システムであって、
前記倉庫制御装置は、
前記端末から前記作業ステーションにおける入庫と出庫の少なくとも一方に関する前記作業情報のうち作業実績に関する情報を取得してログ情報として記憶する記憶部と、
前記ログ情報に基づいて、前記少なくとも一種以上の作業の種類毎に、予め設定された異なる長さの複数の期間それぞれにおける作業時間に関する情報である複数の実績データを生成し、当該複数の実績データに基づいて、前記少なくとも一種以上の作業それぞれの予測作業時間を推定する制御部と、を有することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記複数の期間は、
第1の期間と、前記第1の期間より長い第2の期間と、を含み、
前記第1の期間は、前記作業ステーションのうち第1の作業ステーションで作業を行う第1の作業員によって前記作業が行われた期間であり、
前記第2の期間は、複数の作業員によって第1の作業ステーションで前記作業が行われた期間であり、
前記制御部は、
前記第1の期間における前記作業の作業時間に関する情報である第1の実績データと前記第2の期間における前記作業の作業時間に関する情報である第2の実績データを取得し、少なくとも前記第1の実績データおよび前記第2の実績データに基づいて、前記第1の作業ステーションにおいて前記第1の作業員が前記作業を行う予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記複数の期間は、
第1の期間と、前記第1の期間より長い第2の期間と、を含み、
前記第1の期間は、特定の作業日における第1の時刻から第2の時刻までの期間であり、
前記第2の期間は、少なくとも複数の作業日を含むことを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記記憶部は、
さらに作業日毎の特性を示す情報を含み、
前記制御部は、
第1の作業日における前記作業の前記予測作業時間の推定を行う際に、前記第1の作業日の前記特性が所定の条件を満たす場合には、前記所定の条件を満たす1つ以上の第2の作業日における前記作業の作業時間に関する実績データを取得し、当該実績データに基づいて、前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項4に記載の情報処理システムであって、
前記第1の作業日の前記特性が前記所定の条件を満たす場合とは、前記第1の作業日が特定のイベントに関連した日であることを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記制御部は、
前記複数の実績データの加重平均を算出することにより、前記少なくとも一種以上の作業それぞれの予測作業時間を推定し、
前記複数の実績データには、第1の期間における作業時間に関する情報である第1の実績データと、第1の期間より長い第2の期間における作業時間に関する情報である第2の実績データと、が含まれ、
前記複数の実績データの加重平均の算出における前記複数の実績データのそれぞれに対応する重み係数について、前記第1の実績データに対応する重み係数よりも前記第2の実績データに対応する重みデータの方が小さい値に設定されることを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記記憶部は、
複数の前記作業ステーションから前記作業実績に関する情報を取得して前記ログ情報として記憶し、
前記制御部は、
前記作業ステーションごとの前記複数の作業実績データを取得して、それぞれの作業ステーションごとに前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項7に記載の情報処理システムであって、
複数の前記作業ステーションに含まれる少なくとも1つの作業ステーションでは、複数の作業員によって作業が行われることを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記記憶部は、
少なくとも複数の前記搬送装置の稼働状況に関する情報を含む搬送装置情報を記憶しており、
前記制御部は、
前記複数の作業実績データ及び前記搬送装置情報に基づいて、前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記記憶部は、
複数の前記作業ステーションにおいて作業を行う作業員の情報である作業員情報を記憶して前記ログ情報に記憶し、
前記制御部は、
前記複数の作業実績データ及び前記作業員情報に基づいて、前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記少なくとも一種以上の作業は、収納部に対して行われるピッキング作業を含み、
前記制御部は、
前記複数の実績データに基づいて、前記ピッキング作業の前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項11に記載の情報処理システムであって、
前記制御部は、
前記ピッキング作業の作業内容に応じた作業負荷に関する負荷情報を取得し、当該負荷情報及び前記複数の実績データに基づいて、前記ピッキング作業の前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記少なくとも一種以上の作業は、前記収納部からピッキングされた物品の仕分けを行うアソート作業を含み、
前記制御部は、
前記複数の実績データに基づいて、前記アソート作業の前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記少なくとも一種以上の作業は、前記搬送装置によって、収納部に対して行われるピッキング作業後の前記収納部の搬送を開始する発車作業を含み、
前記制御部は、
前記複数の実績データに基づいて、前記発車作業にかかる前記予測作業時間を推定することを特徴とする情報処理システム。 - 請求項1に記載の情報処理システムであって、
前記ログ情報は、前記少なくとも一種以上の作業が行われずに前記作業ステーションが待機状態であった時間の情報を含み、
前記制御部は、
前記予め設定された異なる長さの複数の期間それぞれにおいて前記作業ステーションが前記待機状態であった時間に関する情報を取得し、当該情報に基づいて、前記作業ステーションが前記待機状態となる予測待機時間を推定することを特徴とする情報処理システム。 - 請求項15に記載の情報処理システムであって、
前記少なくとも一種以上の作業は、少なくとも収納部に対して行われるピッキング作業と、前記収納部からピッキングされた物品の仕分けを行うアソート作業と、前記搬送装置によって収納部に対して行われるピッキング作業後の前記収納部の搬送を開始する発車作業と、を含み、
前記記憶部は、所定の作業日に行うべき入庫又は出庫のいずれかまたは両方の作業に関する作業予定情報を有しており、
前記制御部は、
前記少なくとも一種以上の作業の種類毎の前記予測作業時間、前記予測待機時間及び前記作業予定情報に基づいて、前記所定の作業日における前記入庫作業と前記出庫作業のいずれかまたは両方の作業が完了すると予測される日時である終了予測時間を推定することを特徴とする情報処理システム。 - 請求項16に記載の情報処理システムであって、
現在時刻における前記所定の作業日の前記終了予測時間を可視表示する出力装置を有することを特徴とする情報処理システム。 - プロセッサとメモリを有する倉庫制御装置と、前記倉庫制御装置からの搬送指示に従って、物品を格納する収納部を搬送可能な搬送装置と、前記倉庫制御装置に接続されて、前記収納部の物品に対する入庫又は出庫に関する少なくとも一種以上の作業が実施される作業ステーションにおける作業情報の授受を行う端末と、を有して前記倉庫制御装置が作業に関する時間を予測する倉庫の管理方法であって、
前記倉庫制御装置が、前記端末から前記作業ステーションにおける入庫と出庫の少なくとも一方に関する前記作業情報のうち作業実績に関する情報を取得してログ情報として記憶部に記憶する記憶ステップと、
前記倉庫制御装置が、前記少なくとも一種以上の作業の種類毎に、予め設定された異なる長さの複数の期間のそれぞれにおける作業時間に関する情報である複数の実績データを生成する実績データ生成ステップと、
前記倉庫制御装置が、当該複数の実績データに基づいて、前記少なくとも一種以上の作業それぞれの予測作業時間を推定する制御ステップと、
を含むことを特徴とする倉庫の管理方法。 - プロセッサとメモリを有して作業に関する時間を予測する倉庫制御装置であって、
物品を格納する収納部の物品に対する入庫又は出庫に関する少なくとも一種以上の作業が実施される作業ステーションにおける作業情報の授受を行う端末から前記作業ステーションにおける入庫と出庫の少なくとも一方に関する前記作業情報のうち作業実績に関する情報を取得してログ情報として記憶する記憶部と、
前記ログ情報に基づいて、前記少なくとも一種以上の作業の種類毎に、予め設定された異なる長さの複数の期間のそれぞれにおける作業時間に関する情報である複数の実績データを生成し、現在の当該複数の実績データに基づいて、前記少なくとも一種以上の作業それぞれの予測作業時間を推定する制御部と、を有することを特徴とする倉庫制御装置。
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JP2001322707A (ja) * | 2000-05-15 | 2001-11-20 | Solvex Co | 作業終了時の予測システム |
JP2008168989A (ja) * | 2007-01-11 | 2008-07-24 | Toyota Industries Corp | 自動倉庫における作業完了時刻予測装置 |
JP6263284B2 (ja) * | 2015-01-23 | 2018-01-17 | 株式会社日立物流 | 出荷オーダ割付装置 |
JP2019144632A (ja) * | 2018-02-16 | 2019-08-29 | 株式会社富士通アドバンストエンジニアリング | 作業支援プログラム、作業支援方法および情報処理装置 |
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