Filling rate management apparatus and filling rate management method

Abstract

To estimate a filling status of packages in each shelf.SOLUTION: The filling rate management method for managing the filling rate of an object relative to the accommodable space of a shelf comprises calculating a filling rate influence amount, which indicates an influence amount on the filling rate per object, based on a plurality of filling rates measured at respective time points in the shelf and the number of objects stored into and retrieved from the shelf.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present disclosure relates to a filling rate management device and a filling rate management method. [Background technology]

[0002] Patent Document 1 discloses that a distance image measuring device is installed in a warehouse, which captures images of storage shelves arranged in the warehouse and items placed on the shelves to generate distance image data and obtain surface information such as the positions and shapes of the storage shelves and items, and obtains the filling status, which is information on the occupancy rate of items in the loading space of each storage shelf and information on the available space, based on the distance image data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-142970 [Patent Document 2] International Publication No. 2022 / 054497 Summary of the Invention [Problem to be solved by the invention]

[0004] In order to constantly measure the filling status of each shelf as in Patent Document 1, it is necessary to install a large number of distance image measurement devices so that all shelves can be covered, which is costly. Furthermore, although costs can be reduced by periodically measuring the filling status of each shelf using distance image measurement devices, if goods are brought in or taken out after measurement, the filling status of each shelf cannot be determined until the next measurement.

[0005] An object of the present disclosure is to provide a technology for estimating the loading status of cargo on each shelf. [Means for solving the problem]

[0006] The present disclosure provides a filling rate management device that manages the filling rate of objects relative to the storage space of a shelf, the filling rate management device comprising a processor and memory, wherein the processor works in cooperation with the memory to calculate a filling rate influence amount that indicates the amount of influence on the filling rate per object based on multiple filling rates measured at each of multiple times on the shelf and the number of objects entering and leaving the shelf.

[0007] The present disclosure provides a filling rate management method for managing the filling rate of objects relative to the storage space of a shelf, which calculates a filling rate influence amount indicating the amount of influence on the filling rate per object based on multiple filling rates measured at each of multiple times on the shelf and the number of objects entering and leaving the shelf.

[0008] These comprehensive or specific aspects may be realized as a system, an apparatus, a method, an integrated circuit, a computer program, or a recording medium, or may be realized as any combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium. [Effects of the Invention]

[0009] According to the present disclosure, it is possible to estimate the cargo loading status of each shelf. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic diagram illustrating an overview of the operation of the measuring device according to the first embodiment to perform a three-dimensional scan of shelves in a warehouse and packages stored on the shelves. [Figure 2] FIG. 1 is a block diagram showing a configuration example of a measurement system according to a first embodiment. [Figure 3] FIG. 1 is a side view of a shelf, luggage, and a measuring device according to the first embodiment. [Figure 4] FIG. 1 is a front view of a shelf and luggage according to the first embodiment. [Figure 5] FIG. 10 is a diagram for explaining an example of a method for calculating an estimated filling rate when one type of cargo X is stored on a shelf according to the first embodiment. [Figure 6] FIG. 10 is a diagram for explaining an example of a method for calculating an estimated filling rate when two types of luggage are stored on a shelf according to the first embodiment. [Figure 7] FIG. 10 is a diagram for explaining an example of calculating an estimated filling rate when irregularly shaped packages are stored on a shelf according to the first embodiment. [Figure 8] 1 is a flowchart showing an example of a process for calculating a filling rate influence amount per piece of luggage according to the first embodiment. [Figure 9] 1 is a flowchart showing an example of a calculation process of a current estimated filling rate according to the first embodiment. [Figure 10] 1 is a flowchart showing an example of a process for calculating a predicted filling rate according to the first embodiment. [Figure 11] FIG. 10 is a diagram for explaining a specific example of how to calculate an estimated filling rate and a predicted filling rate when one type of cargo is stored on a target shelf according to the first embodiment. [Figure 12] FIG. 10 is a diagram for explaining a specific example of calculating an estimated filling rate and a predicted filling rate when two types of cargo are stored on a target shelf according to the first embodiment. [Figure 13] Flowchart showing an example of a method for determining a recommended storage shelf according to the first embodiment [Figure 14] FIG. 10 is a diagram showing an example of displaying a filling rate according to the first embodiment; [Figure 15] FIG. 10 is a diagram showing a display example of a dashboard according to the first embodiment; [Figure 16] FIG. 10 is a diagram showing an example of displaying an image of an estimated filling rate or a predicted filling rate superimposed on a shelf image according to the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present disclosure will be described in detail with appropriate reference to the drawings. However, more detailed description than necessary may be omitted. For example, detailed descriptions of well-known matters and redundant descriptions of substantially identical configurations may be omitted. This is to avoid unnecessary redundancy in the following description and to facilitate understanding by those skilled in the art. Note that the accompanying drawings and the following description are provided to enable those skilled in the art to fully understand the present disclosure, and are not intended to limit the subject matter described in the claims.

[0012] (Embodiment 1) <Measurement system> FIG. 1 is a schematic diagram illustrating an overview of the operation of a measuring device 20 according to the first embodiment to three-dimensionally scan a shelf 1 in a warehouse and a package 9 stored on the shelf 1. FIG. 2 is a block diagram illustrating an example of the configuration of a measuring system 10 according to the first embodiment. FIG. 3 is a side view of the shelf 1, package 9, and measuring device 20 according to the first embodiment. FIG. 4 is a front view of the shelf 1 and package 9 according to the first embodiment. Next, the configuration and operation of the measuring system 10 according to the first embodiment will be described with reference to FIGS. 1 to 4. For convenience of explanation, as shown in FIGS. 1, 3, and 4, the width direction of the shelf 1 is defined as the X-axis, the depth direction of the shelf 1 is defined as the Y-axis, and the height direction of the shelf 1 is defined as the Z-axis.

[0013] The measurement system 10 is a system that measures the packing rate of luggage 9 on a shelf 1. The packing rate is a value that indicates the ratio of the volume of luggage 9 actually stored on the shelf 1 to the volume of the space on the shelf 1 that can accommodate the luggage 9 (hereinafter referred to as the accommodating space). Note that the packing rate does not have to be an exact value, and may be an approximate or estimated value. Furthermore, luggage 9 may be read as an object.

[0014] 2, the measurement system 10 includes at least one measurement device 20, a filling rate management device 30, and an inventory management device 40. The measurement device 20, the filling rate management device 30, and the inventory management device 40 can transmit and receive information to and from each other via a predetermined communication network 11. Examples of the predetermined communication network 11 include a wireless LAN, a wired LAN, a mobile communication network, the Internet, and a Virtual Private Network (VPN).

[0015] <Measuring equipment> The measuring device 20 is a device that measures the filling rate of each shelf 1 in a warehouse. As shown in FIGS. 1 and 2, the measuring device 20 includes at least one distance measurement sensor 21 (21A, 21B) and an information processing device 22. The distance measurement sensor 21 is connected to the information processing device 22 via a predetermined electrical cable. An example of the electrical cable is a USB cable. However, the distance measurement sensor 21 may also be connected to the information processing device 22 via wireless communication.

[0016] The ranging sensor 21 captures an object to generate an RGB image, and measures the distance (depth) to the object to generate a depth image. The RGB image has color information for each pixel. The depth image has depth (distance) information for each pixel. Hereinafter, the RGB image and the depth image are collectively referred to as ranging data 100. The ranging sensor 21 may be at least one of a Time of Flight (ToF) sensor, a Light Detection and Ranging (LiDAR), a stereo camera, etc.

[0017] As shown in FIG. 2, the information processing device 22 includes a processor 23, a memory 24, a communication device 25, a device connection device 26, an input device 27, and an output device .

[0018] The processor 23 executes a computer program in cooperation with the memory 24 to realize the functions of the measurement device 20. Details of the functions of the measurement device 20 will be described as appropriate.

[0019] The memory 24 stores computer programs and data for implementing the functions of the measurement device 20. The memory 24 may be configured by a volatile storage medium (e.g., RAM) and / or a non-volatile storage medium (e.g., ROM, flash memory, solid state drive (SSD), etc.).

[0020] The communication device 25 is connected to the communication network 11 and controls the transmission and reception of information via the communication network 11 .

[0021] The device connection device 26 is connected to the distance measurement sensor 21 and controls the transmission and reception of information to and from the distance measurement sensor 21 .

[0022] The input device 27 is a device that accepts input from the user, and is, for example, a touch panel, a keyboard, a mouse, a microphone, or the like.

[0023] The output device 28 is a device that outputs information, and is, for example, a display, a speaker, a lamp, or the like.

[0024] Next, the operation of the measuring device 20 will be described.

[0025] 1, a measuring device 20 moves along an aisle in a warehouse, performs a three-dimensional scan (hereinafter referred to as a 3D scan) of multiple shelves 1 lined up along the aisle with a distance measurement sensor 21, and generates distance measurement data 100. The measuring device 20 may be moved manually by a person, or may move automatically (autonomously).

[0026] For example, as shown in Figures 3 and 4, if the shelf 1 has two levels, a lower level 2A and an upper level 2B, the measurement device 20 is equipped with a distance measurement sensor 21A that can 3D scan the lower level 2A and a distance measurement sensor 21B that can 3D scan the upper level 2B. Note that it is not necessary to 3D scan one shelf level with one distance measurement sensor; for example, the lower level 2A and the upper level 2B may be 3D scanned with one distance measurement sensor 21. Also, in this embodiment, an example is described in which the shelves 1 have two overlapping levels, but the shelves 1 may have any number of overlapping levels.

[0027] The distance measurement sensor 21A transmits distance measurement data 100A obtained by 3D scanning the lower stage 2A to the information processing device 22. The distance measurement sensor 21B transmits distance measurement data 100B obtained by 3D scanning the upper stage 2B to the information processing device 22.

[0028] The processor 23 of the information processing device 22 detects the shelf frame 3A (opening) of the lower level 2A from the distance measurement data 100A and detects luggage 9 present within the area surrounded by the shelf frame 3A of the lower level 2A (hereinafter referred to as the measurement area 101A). The processor 23 then calculates the ratio of the volume of the detected luggage 9 to the volume of the storage space in the measurement area 101A, and determines this as the packing rate for the shelf frame 3A of the lower level 2A (measurement area 101A). The processor 23 may calculate this packing rate using the method described in Patent Document 2. For example, using the method described in Patent Document 2, the processor 23 identifies the depth of the foremost luggage 9 from the depth image and calculates the volume of the luggage 9 by assuming that the luggage 9 is placed from the foremost depth of the identified luggage 9 to the innermost depth of the storage space of the shelf frame 3A. Note that the term "depth" may be interpreted as "distance" or "position." Similarly, processor 23 detects shelf frame 3B (opening) of upper level 2B from distance measurement data 100B, and detects luggage present within the area surrounded by shelf frame 3B of upper level 2B (hereinafter referred to as measurement area 101B). Processor 23 then calculates the ratio of the volume of the detected luggage 9 to the volume of the storage space in measurement area 101B, and sets this as the filling rate of shelf frame 3B of upper level 2B (measurement area 101B).

[0029] <Warehousing / output management device> The incoming and outgoing goods management device 40 is a device that manages the incoming and outgoing goods to and from the warehouse.

[0030] As shown in FIG. 2, the inventory management device 40 includes a processor 41, a memory 42, a communication device 43, an input device 44, an output device 45, and an inventory DB 46.

[0031] The inventory DB 46 manages inventory information as a database, including, for example, the type and number of items that have been inventory-entered and / or retrieved, the date and time when the items were inventory-entered and / or retrieved, the shelf number where the items were inventory-entered and / or retrieved, etc. The inventory DB 46 also manages inventory-enter / retrieval schedule information as a database, including the type and number of items that are scheduled to be inventory-entered and / or retrieved, the date and time when the items are scheduled to be inventory-entered and / or retrieved, etc.

[0032] The processor 41 executes a computer program in cooperation with the memory 42 to realize the functions of the inventory management device 40. For example, the inventory management device 40 searches the inventory DB 46 in response to a search request from the filling rate management device 30, and returns the search results to the filling rate management device 30.

[0033] The memory 42 stores computer programs and data for realizing the functions of the filling rate management device 30. The memory 42 may be configured by a volatile storage medium (e.g., RAM) and / or a non-volatile storage medium (e.g., ROM, flash memory, SSD, etc.).

[0034] The communication device 43 is connected to the communication network 11 and controls the transmission and reception of information via the communication network 11 .

[0035] The input device 44 is a device that receives input from the worker, and is, for example, a touch panel, a keyboard, a mouse, a microphone, or the like.

[0036] The output device 45 is a device that outputs information, such as a display, a speaker, or the like.

[0037] <Filling rate management device> The filling rate management device 30 is a device that calculates and manages the filling rate of each shelf 1 measured by the measuring device 20.

[0038] As shown in FIG. 2, the filling rate management device 30 includes a processor 31, a memory 32, a communication device 33, an input device , and an output device .

[0039] The processor 31 executes a computer program in cooperation with the memory 32 to realize the functions of the filling rate management device 30. Details of the functions of the filling rate management device 30 will be explained as appropriate. In the description of this embodiment, processing mainly performed by the filling rate management device 30 may be interpreted as processing mainly performed by the processor 31.

[0040] The memory 32 stores computer programs and data for realizing the functions of the filling rate management device 30. The memory 32 may be configured by a volatile storage medium (e.g., RAM) and / or a non-volatile storage medium (e.g., ROM, flash memory, SSD, etc.).

[0041] The communication device 33 is connected to the communication network 11 and controls the transmission and reception of information via the communication network 11 .

[0042] The input device 34 is a device that accepts input from the user, and is, for example, a touch panel, a keyboard, a mouse, a microphone, or the like.

[0043] The output device 35 is a device that outputs information, such as a display, a speaker, and the like.

[0044] By moving the measuring device 20 to measure each shelf 1 and calculate the filling rate, and collecting and managing the calculated filling rates for each shelf 1 using the filling rate management device 30, it is possible to manage the filling rate for each shelf 1 at the date and time of measurement. However, if the measuring device 20 measures the filling rate at date and time T1 and then an item is brought in or taken out at date and time T2, in order to know the filling rate at date and time T2, it was conventionally necessary to operate the measuring device 20 and measure the filling rate. However, operating the measuring device 20 to measure the filling rate every time an item is brought in or taken out is a heavy workload and is not realistic. Furthermore, constantly measuring the filling rate of each shelf 1 requires a distance measuring sensor to be placed on each shelf, which is costly.

[0045] Therefore, in this embodiment, a method is described for estimating the filling rate of a shelf without measuring the filling rate when an item is brought in or taken out after the measuring device 20 has measured the filling rate. Note that, although the following description is given assuming that the filling rate management device 30 estimates the filling rate, another device may estimate the filling rate.

[0046] <When one type of luggage is stored on a shelf> FIG. 5 is a diagram for explaining an example of a method for calculating an estimated filling rate when one type of cargo X is stored on the shelf 1 according to the first embodiment.

[0047] For example, assume that the filling rate measured by the measuring device 20 at date and time T1 on a certain shelf 1 is 60%. Hereinafter, the filling rate actually measured by the measuring device 20 will be referred to as the measured filling rate.

[0048] Next, assume that 40 units of luggage X were received and 20 units were taken out during the period from date and time T1 to date and time T2 (i.e., the number of units received and taken out was "+20"). For convenience, the period from date and time T1 to date and time T2 will be expressed as T1 to T2. Also, assume that the measured filling rate at date and time T2 was 80%. In this case, the filling rate influence amount x per unit of luggage X can be calculated using the following formula 1. Hereinafter, the filling rate influence amount per unit of luggage may be simply referred to as the filling rate influence amount.

[0049] Filling rate influence amount x of package X = (measured filling rate at date and time T2 "80%" - measured filling rate at date and time T1 "60%") / (number of items in and out of stock from T1 to T2 "+20 items") = 1 (% / item) ... (Equation 1)

[0050] Next, assume that during the period from date and time T2 to the current date and time T3, 0 units of cargo X are received and 40 units are taken out (i.e., the number of units received and taken out is "-40"). In this case, using the filling rate influence amount x of cargo X calculated above, the amount of change in filling rate during the period from date and time T2 to the current date and time T3 can be calculated using the following formula 2.

[0051] Change in filling rate from T2 to T3 = Number of items in and out of stock "-40" x Impact of filling rate on luggage X "1% / item" = -40% ... (Equation 2)

[0052] Then, using this calculated amount of change in filling rate from T2 to T3, the estimated filling rate at the current date and time T3 can be calculated using the following equation 3.

[0053] Estimated filling rate at current date and time T3 = Measured filling rate at date and time T2 "80%" + (Change in filling rate from T2 to T3 "-40%)) = 40% ... (Equation 3)

[0054] As a result, even if the filling rate at the current date and time T3 has not been measured, the estimated filling rate at the current date and time T3 can be calculated based on the measured filling rate and the number of items entering and leaving the warehouse.

[0055] <When two types of luggage are stored on the shelf> FIG. 6 is a diagram illustrating an example of a method for calculating an estimated filling rate when two types of cargo are stored on shelf 1 according to the first embodiment.

[0056] For example, assume that the measured fill rate on shelf 1 at date and time T1 is 60%.

[0057] Next, suppose that during the period from date and time T1 to date and time T2, 2 units of luggage X were received and 0 units were taken out (i.e., the number of items received and taken out was "+2"), and 10 units of luggage Y were received and 0 units were taken out (i.e., the number of items received and taken out was "+10"). Also, suppose that the measured filling rate at date and time T2 was 80%.

[0058] Here, the filling rate influence amount of luggage X is x, and the filling rate influence amount of luggage Y is y. The difference "+20%" between the measured filling rate of "80%" at date and time T2 and the measured filling rate of "60%" at date and time T1 has the relationship of the following equation 4.

[0059] The difference between the measured filling rate at date and time T2 and the measured filling rate at date and time T1 is "+20%" = (number of incoming and outgoing packages X between T1 and T2 "2 units" × filling rate influence amount x of package X) + (number of incoming and outgoing packages Y between T1 and T2 "+10 units" × filling rate influence amount y of package Y) ... (Equation 4)

[0060] Next, during the period from date and time T2 to date and time T3, 0 units of luggage X were received and 4 units were taken out (i.e., the number of units received and taken out was "-4"), and 0 units of luggage Y were received and 0 units were taken out (i.e., the number of units received and taken out was "0"). Also, assume that the measured filling rate at date and time T3 was 60%.

[0061] The difference "-20%" between the measured filling rate "60%" at date and time T3 and the measured filling rate "80%" at date and time T2 has the relationship of the following formula 5.

[0062] The difference between the measured filling rate at date and time T3 and the measured filling rate at date and time T2 is "-20%" = (number of incoming and outgoing shipments of luggage X between T2 and T3 "-4" × filling rate influence amount x of luggage X) + (number of incoming and outgoing shipments of luggage Y between T2 and T3 "0" × filling rate influence amount y of luggage Y) ... (Equation 5)

[0063] By solving the simultaneous equations of Equation 4 and Equation 5 above, the packing rate influence amount x of baggage X=5 and the packing rate influence amount y of baggage Y=1 can be calculated.

[0064] Next, assume that during the period from date and time T3 to the current date and time T4, 1 unit of cargo X is received and 0 units are taken out (i.e., the number of units received and taken out is "+1"), and 0 units of cargo Y are received and 10 units are taken out (i.e., the number of units received and taken out is "-10"). In this case, using the filling rate influence amount x = 5 for cargo X and the filling rate influence amount y = 1 for cargo Y calculated above, the amount of change in filling rate during the period from date and time T3 to the current date and time T4 can be calculated using the following formula 6.

[0065] Change in filling rate from T3 to T4 = (Number of incoming and outgoing shipments of luggage X "+1" × Influence of luggage X on filling rate "1") + (Number of incoming and outgoing shipments of luggage Y "-10" × Influence of luggage Y on filling rate "1") = -5% ... (Equation 6)

[0066] Then, using this calculated amount of change in filling rate from T3 to T4, the estimated filling rate at the current date and time T4 can be calculated by the following equation 7.

[0067] Estimated filling rate at current date and time T4 = Measured filling rate at date and time T3 "60%" + (Change in filling rate from T3 to T4 "-5%") = 55% ... (Equation 7)

[0068] As a result, when two types of cargo X and Y are being stored and retrieved from shelf 1, even if the filling rate at the current date and time T4 has not been measured, the estimated filling rate at the current date and time T4 can be calculated based on the measured filling rate and the number of items being stored and retrieved.

[0069] <In the case of irregularly shaped luggage> FIG. 7 is a diagram for explaining an example of calculating an estimated filling rate when irregularly shaped packages are stored on a shelf according to the first embodiment.

[0070] For example, as shown in Fig. 7, there are cases where the shape of the package is not a rectangular parallelepiped but an irregular shape. In such cases, the estimated filling rate can also be calculated using the method described above in Fig. 5. A specific example will be described below.

[0071] Assume that the measured filling rate at date and time T1 was 75% and the measured filling rate at date and time T2 was 56.25%. Also, assume that the number of incoming and outgoing shipments of cargo X from T1 to T2 was "-3 units." In this case, the filling rate influence amount of cargo X is calculated to be 6.25% using the method described with reference to FIG. 5.

[0072] Also, assume that the number of items received and shipped during the period from date and time T2 to the current date and time T3 is "+2 units." In this case, the amount of change in the filling rate from T2 to T3 is calculated as +12.5%.

[0073] Therefore, the estimated filling rate at the current date and time T3 can be calculated as the measured filling rate at date and time T2 "56.25%" + (amount of change in filling rate from T2 to T3 "+12.5%") = 68.75%.

[0074] If the packing rate were simply calculated assuming that the package is a rectangle with width W and height H, the packing rate would be 100% at date and time T1, 75% at date and time T2, and 91.67% at date and time T3. In other words, if the packing rate is simply calculated assuming that the package is a rectangle with width W and height H, it is not possible to estimate the packing rate with high accuracy for an irregularly shaped package. In contrast, this embodiment uses a packing rate influence amount to make it possible to estimate the packing rate with high accuracy even for such irregularly shaped packages. In other words, this embodiment estimates the packing rate without using the package dimensions (e.g., width W, height H, length L).

[0075] The process of calculating the above-mentioned filling rate influence amount will be described in more detail below.

[0076] <Calculation of the filling rate impact per piece of luggage> FIG. 8 is a flowchart illustrating an example of a process for calculating a filling rate influence amount per piece of luggage according to the first embodiment.

[0077] The filling rate management device 30 selects a shelf to be processed (hereinafter referred to as a target shelf) (S101).

[0078] The filling rate management device 30 determines whether or not a target shelf exists (S102). For example, when all shelves to be used for calculating the estimated filling rate have been selected, the filling rate management device 30 determines that a target shelf does not exist. When it is determined that a target shelf does not exist (S102: NO), the filling rate management device 30 ends this process.

[0079] When it is determined that the target shelf exists (S102: YES), the filling rate management device 30 acquires the measured filling rate of the target shelf at each date and time (S103).

[0080] The filling rate management device 30 acquires from the incoming / outgoing management device 40 the number of incoming and outgoing items during the period of each date and time when the filling rate of the target shelf was measured (S104). For example, when the filling rate management device 30 acquires the measured filling rates for date and time T1 and date and time T2, it acquires the number of incoming and outgoing items during the period from date and time T1 to date and time T2.

[0081] The filling rate management device 30 calculates the filling rate influence amount of the cargo based on the measured filling rate at each date and time acquired in step S103 and the number of incoming and outgoing cargoes acquired in step S104, and records the amount in the memory 32 or the like (S105). Then, the process returns to step S101.

[0082] <Calculation process of current estimated filling rate> FIG. 9 is a flowchart illustrating an example of a calculation process of a current estimated filling rate according to the first embodiment.

[0083] The filling rate management device 30 selects a target shelf (S201).

[0084] The filling rate management device 30 determines whether or not the target shelf exists (S202). If it is determined that the target shelf does not exist (S202: NO), the filling rate management device 30 ends this process.

[0085] If it is determined that the target shelf exists (S202: YES), the filling rate management device 30 acquires the last measured filling rate or estimated filling rate of the target shelf (S203). For example, assuming that the current date and time is T3, the filling rate management device 30 acquires the measured filling rate if there is a measured filling rate measured at the previous date and time T2, and acquires the estimated filling rate if there is an estimated filling rate calculated at the previous date and time T2. Hereinafter, the last measured filling rate or estimated filling rate may be referred to as the last filling rate.

[0086] The filling rate management device 30 acquires from the incoming / outgoing inventory management device 40 the number of incoming and outgoing items during the period from the date and time when the last measured or estimated filling rate of the target shelf was measured or calculated to the current date and time (S204).

[0087] The filling rate management device 30 calculates the current estimated filling rate of the target shelf based on the last measured filling rate or estimated filling rate acquired in step S203, the number of incoming and outgoing items acquired in step S204, and the amount of influence of the cargo on the filling rate calculated in step S105 of Fig. 8, and records the calculated estimated filling rate in the memory 32 or the like (S205). Then, the process returns to step S201.

[0088] The filling rate management device 30 may increment an estimation counter each time an estimated filling rate is acquired in step S203, and may display a warning urging the user to measure the filling rate when the estimation counter reaches or exceeds a predetermined threshold. This is because repeated estimations may reduce the accuracy of the estimated filling rate. Furthermore, the filling rate management device 30 may reset (initialize) the estimation counter when a measured filling rate is acquired in step S203. This is because recovery of estimation accuracy is expected. In other words, the filling rate management device 30 may calculate an estimated filling rate for the target shelf at the current time using the estimated filling rate for the target shelf at the previous time, and if the number of other estimated filling rates included between the last measured measured filling rate for the target shelf and the calculation of the estimated filling rate for the target shelf at the current time is equal to or exceeds a predetermined threshold, a warning may be displayed urging the user to measure the filling rate of the target shelf again.

[0089] <Calculation process of predicted filling rate> 10 is a flowchart showing an example of a process for calculating a predicted filling rate according to Embodiment 1. This process is a method for calculating a filling rate (hereinafter referred to as a predicted filling rate) when scheduled loading and unloading operations are performed after calculating the latest estimated filling rate.

[0090] The filling rate control device 30 selects a target shelf (S301).

[0091] The filling rate management device 30 determines whether or not the target shelf exists (S302). If it is determined that the target shelf does not exist (S302: NO), the filling rate management device 30 ends this process.

[0092] When it is determined that the target shelf exists (S302: YES), the filling rate management device 30 acquires the current estimated filling rate or measured filling rate (S303).

[0093] The filling rate control device 30 acquires the planned number of incoming and outgoing goods (hereinafter referred to as the planned number of incoming and outgoing goods) from the incoming and outgoing goods control device 40 (S304).

[0094] The filling rate management device 30 calculates a predicted filling rate when the scheduled inbound and outbound operations are performed on the target shelf based on the current estimated filling rate or measured filling rate acquired in step S303, the planned inbound and outbound numbers acquired in step S304, and the filling rate influence amount per unit of cargo calculated in step S105 of Fig. 8, and records the calculated predicted filling rate in the memory 32 or the like (S305). Then, the process returns to step S301.

[0095] <Example 1> Fig. 11 is a diagram for explaining a specific example of calculating the estimated filling rate and the predicted filling rate when one type of cargo is stored on the target shelf according to embodiment 1. A specific example of the processing in Figs. 8 to 10 described above will be explained with reference to Fig. 11.

[0096] First, a specific example of calculating the filling rate influence amount per piece of luggage X will be described.

[0097] For example, in step S103, the filling rate management device 30 acquires the measured filling rate of the target shelf at date and time T1 of "75%" and the measured filling rate at date and time T2 of "56.25%".

[0098] In step S104, the filling rate management device 30 acquires the number of incoming and outgoing packages X between T1 and T2, "-3."

[0099] In this case, in step S105, the filling rate management device 30 calculates the filling rate influence amount of cargo X = (measured filling rate at date and time T2 "56.25" - measured filling rate at date and time T1 "75") / (number of incoming and outgoing goods from T1 to T2 "-3") = 6.25 [% / piece].

[0100] Next, a specific example of calculating the current estimated filling rate will be described.

[0101] For example, in step S203, the filling rate management device 30 acquires the number of incoming and outgoing packages X "+2" during the period from date and time T2 to the current date and time T21.

[0102] In step S205, the filling rate management device 30 calculates the estimated filling rate at the current date and time T21 = (measured filling rate at the last date and time T2 "56.25") + (number of items in and out of stock from T2 to T21 "+2") x (filling rate influence amount per item of luggage X "6.25") = 68.75%.

[0103] Next, a specific example of calculating the predicted filling rate will be described.

[0104] For example, in step S304, the filling rate management device 30 acquires the number of incoming and outgoing packages X "+3" scheduled for the date and time T31 after the current date and time T21.

[0105] In step S305, the filling rate management device 30 calculates the predicted filling rate at date and time T31 = estimated filling rate at the current date and time T21 "68.75" + (planned number of items in and out at date and time T31 "+3" x filling rate impact amount per item of luggage X "6.25") = 87.5%.

[0106] In this way, the filling rate management device 30 can calculate the estimated filling rate at the current time and the predicted filling rate when cargo is brought in and out from the current time.

[0107] <Example 2> Fig. 12 is a diagram for explaining a specific example of calculating the estimated filling rate and the predicted filling rate when two types of cargo are stored on the target shelf according to embodiment 1. A specific example of the processing in Figs. 8 to 10 described above will be explained with reference to Fig. 12.

[0108] First, a specific example of calculating the packing rate influence amount x of the cargo X and the packing rate influence amount y of the cargo Y will be described.

[0109] For example, in step S103, the filling rate management device 30 acquires the measured filling rate of "60%" at date and time T1, the measured filling rate of "80%" at date and time T2, and the measured filling rate of "80%" at date and time T3.

[0110] In step S104, the filling rate management device 30 acquires the number of incoming and outgoing shipments of goods X from T1 to T2 "+2" and the number of incoming and outgoing shipments of goods Y "+10", and the number of incoming and outgoing shipments of goods X from T2 to T3 "-4".

[0111] Since the change in filling rate = Σ (number of items in and out of the warehouse during the period between the two dates and times when the filling rate was measured × filling rate impact per item), in the above case, the following two equations, Equation 8 and Equation 9, can be derived.

[0112] The difference between the measured filling rate of "80%" at date and time T2 and the measured filling rate of "60%" at date and time T1 is "+20" = (number of incoming and outgoing shipments of luggage X between T1 and T2 "+2" × filling rate influence amount x of luggage X) + (number of incoming and outgoing shipments of luggage Y between T1 and T2 "+10" × filling rate influence amount y of luggage Y) ... (Equation 8)

[0113] The difference between the measured filling rate of "60%" at date and time T3 and the measured filling rate of "80%" at date and time T2 is "-20%" = (number of incoming and outgoing shipments of luggage X between T2 and T3 "-4" x influence amount of luggage X on filling rate x) ... (Equation 9)

[0114] The filling rate management device 30 solves the two simultaneous equations of Equation 8 and Equation 9 above to calculate the filling rate influence amount x=5 of the cargo X and the filling rate influence amount y=1 of the cargo Y in step S105.

[0115] Next, a specific example of calculating the current estimated filling rate will be described.

[0116] For example, in step S203, the filling rate management device 30 acquires the number of incoming and outgoing shipments of goods X "+1" and the number of incoming and outgoing shipments of goods Y "-10" during the period from date and time T3 to the current date and time T32.

[0117] In step S205, the filling rate management device 30 calculates the estimated filling rate at the current date and time T32 = (measured filling rate at the last date and time T3 "60" + (number of incoming and outgoing shipments of luggage X from T3 to T32 "+1" × filling rate influence amount of luggage X "5") + (number of incoming and outgoing shipments of luggage Y from T3 to T32 "-10" × filling rate influence amount of luggage Y "1") = 55%.

[0118] Next, a specific example of calculating the predicted filling rate will be described.

[0119] For example, in step S304, the filling rate management device 30 acquires the number of incoming and outgoing shipments of the cargo X scheduled for the date and time T41 after the current date and time T32, "+3".

[0120] In step S305, the filling rate management device 30 calculates the predicted filling rate at date and time T41 = estimated filling rate at the current date and time T32 "55" + (planned number of goods X in and out at date and time T41 "+3" x filling rate influence amount of goods X "5") = 70%.

[0121] In this way, even when there are two types of cargo, the filling rate management device 30 can calculate the current estimated filling rate and the predicted filling rate when cargo is brought in and out from the current time.

[0122] <How to determine recommended storage shelves> Fig. 13 is a flowchart showing an example of a method for determining a recommended storage shelf according to embodiment 1. This process is a method for determining a shelf (recommended storage shelf) that is recommended as a storage destination for cargo to be stored, using the predicted filling rate shown in Fig. 12.

[0123] The filling rate management device 30 acquires the number of items to be stored (planned number of items to be stored) (S401).

[0124] The filling rate management device 30 determines whether there is a record of a parcel identical to the parcel to be stored being stored or released in the past (S402). If there is no record of a parcel identical to the parcel to be stored being stored or released in the past (S402: NO), the filling rate management device 30 ends this processing. This is because if there is no record of a parcel identical to the parcel to be stored being stored or released in the past, it is not possible to calculate the filling rate influence amount of the parcel. If there is a record of a parcel identical to the parcel to be stored being stored or released in the past (S402: YES), the filling rate management device 30 proceeds to the next step S403.

[0125] The filling rate management device 30 searches for a shelf (hereinafter referred to as a "same type shelf") that stores the same type of cargo as the cargo to be stored in stock (for example, cargo packed with the same type of parts) (S403). For example, the filling rate management device 30 requests the inventory management device 40 to search for a same type shelf.

[0126] The filling rate management device 30 determines whether or not a shelf of the same type exists as a result of the search in step S403 (S404).

[0127] If it is determined in step S404 that a shelf of the same type exists (S404: YES), the filling rate management device 30 calculates (S405) a predicted filling rate for each shelf of the same type found in step S302 when the planned number of packages acquired in step S401 is stored. The predicted filling rate may be calculated by the process described in FIG.

[0128] The filling rate management device 30 determines whether or not there is a shelf of the same type, among the shelves of the same type found in step S402, whose predicted filling rate calculated in step S405 is less than a predetermined threshold value (S406).

[0129] If there are any shelves of the same type with a predicted filling rate below the predetermined threshold (S406: YES), the filling rate management device 30 displays those shelves of the same type as recommended shelves for storage (S407) and ends this process. The fact that the predicted filling rate of a shelf of the same type is below the predetermined threshold means that the shelf of that type has sufficient space to store the planned number of packages.

[0130] If it is determined in step S404 that there are no shelves of the same type (S404: NO), or if it is determined in step S406 that there are no shelves of the same type with a predicted filling rate below a predetermined threshold (S406: NO), the filling rate management device 30 calculates the predicted filling rate for each shelf when the planned inventory quantity obtained in step S401 is stored (S410).

[0131] The filling rate management device 30 determines whether or not there is a shelf where the predicted filling rate calculated in step S410 is less than a predetermined threshold value (S411).

[0132] If there are any shelves with a predicted filling rate below the predetermined threshold (S411: YES), the filling rate management device 30 displays those shelves as recommended storage shelves (S412) and ends this process. The fact that the predicted filling rate of a shelf is below the predetermined threshold means that the shelf has sufficient space to store the planned number of packages.

[0133] If there is no shelf with a predicted filling rate below the predetermined threshold (S411: NO), the filling rate management device 30 displays that there is no shelf recommended for storage (S413) and ends this process. This is because the fact that the predicted filling rate of a shelf is equal to or greater than the predetermined threshold corresponds to the fact that the shelf does not have sufficient space to store the cargo to be stored.

[0134] This allows workers to see the displayed recommended storage shelves and efficiently determine the storage shelf for the planned number of packages to be stored. Also, by seeing the display that there is no recommended storage shelf, workers can know in advance that it will be difficult to store the planned number of packages if things continue as they are.

[0135] <Filling rate display example> FIG. 14 is a diagram showing an example of displaying the filling rate according to the first embodiment.

[0136] The filling rate management device 30 may display a shelf image list screen 200 as shown in Fig. 14. For example, on the shelf image list screen 200, the filling rate management device 30 displays a photographed shelf image 201, a shelf number 202, a photographing date and time 203, and a measured filling rate 204 in association with each other.

[0137] The filling rate management device 30 may display a current estimated filling rate 205 in association with the shelf image 201 on the shelf image list screen 200. The filling rate management device 30 may display a predicted filling rate 206 in association with the shelf image 201 when the scheduled stocking and retrieval is performed on the shelf image list screen 200. The estimated filling rate and / or the predicted filling rate may be displayed in a manner different from the measured filling rate (for example, a different color, a different font, or a different character size).

[0138] By looking at the shelf image list screen 200, the worker can easily check the estimated filling rate and / or predicted filling rate for each shelf in addition to the measured filling rate for each shelf.

[0139] <Dashboard display example> FIG. 15 is a diagram showing a display example of a dashboard according to the first embodiment.

[0140] The filling rate management device 30 may display a dashboard screen 300 as shown in Fig. 15. For example, the filling rate management device 30 has an incoming goods selection area 301, a shelf map area 302, a recommended shelf area 303, and an empty shelf area 304 on the dashboard screen 300.

[0141] The incoming goods selection area 301 is an area for selecting goods to be stored. The worker operates the incoming goods selection area 301 to select goods to be stored.

[0142] The shelf map area 302 is an area that displays the layout of shelves in the warehouse and the recommended storage shelf for the cargo to be stored. The filling rate management device 30 displays the position of the recommended storage shelf for the cargo to be stored that is selected in the stored cargo selection area 301, relative to the shelf layout in the warehouse. The recommended storage shelf may be determined by the method described with reference to FIG. 13.

[0143] The recommended shelf area 303 is an area that displays information about the recommended shelf for storage. For example, the recommended shelf area 303 displays a shelf number 311, a shelf image 312, a measured or estimated fill rate 313, a measured date and time or an estimated date and time 314, a product number 315, and an inventory quantity 316 related to the recommended shelf for storage, in association with each other.

[0144] The empty shelf area 304 is an area that displays shelves with a fill rate below a threshold as empty shelf candidates. The threshold may be changed by the operator. For example, the empty shelf area 304 displays a shelf image 321, a shelf number 322, a measured fill rate or estimated fill rate 323, and a measured date and time or estimated date and time 324 related to the empty shelf candidate.

[0145] By looking at the dashboard screen 300, the worker can easily check the status of the recommended storage shelf for the goods to be stored and information on the candidate empty shelves.

[0146] <Example of displaying an image of the estimated filling rate superimposed on a shelf image> FIG. 16 is a diagram showing an example in which an image of the estimated filling rate or the predicted filling rate according to the first embodiment is displayed superimposed on a shelf image.

[0147] The filling rate management device 30 may superimpose and display images 411, 412 of the subsequent estimated filling rate or predicted filling rate on the shelf image 400 where the measured filling rate was measured.

[0148] For example, as shown in image 400A in Figure 16, if the number of items being loaded and unloaded from a shelf with a measured fill rate of "56.25%" is "+3 items," an image 411 of what would happen if an amount of cargo corresponding to an estimated or predicted fill rate of "75%" calculated using the number of items being loaded and unloaded "+3 items" were stored is displayed superimposed on shelf image 400 when the measured fill rate of "56.25%" is measured.

[0149] For example, as shown in image 400B in Figure 16, if the number of items being loaded and unloaded from a shelf with a measured fill rate of "56.25%" is "-3 items," an image 412 of what would happen if an amount of cargo corresponding to an estimated or predicted fill rate of "37.5%" calculated using the number of items being loaded and unloaded "-3 items" were stored is displayed superimposed on shelf image 400 when the measured fill rate of "56.25%" is measured.

[0150] This allows the worker to easily visualize the storage state of the shelves when the number of items to be stored or retrieved is reached by looking at the images 411 and 412 superimposed on the shelf image 400.

[0151] (Summary of the first embodiment) The above description of the first embodiment discloses the following techniques.

[0152] <Technology 1> A filling rate management device (30) that manages the filling rate of objects (e.g., cargo 9) in the storage space of a shelf (1) includes a processor (31) and a memory (32), and the processor works in cooperation with the memory to calculate a filling rate influence amount that indicates the amount of influence on the filling rate per object based on multiple filling rates measured at each of multiple times on the shelf and the number of objects entering and leaving the shelf. This allows the fill rate management device to estimate and / or predict the fill rate on the shelf using the fill rate influence amount.

[0153] <Technology 2> In the filling rate management device described in Technology 1, the multiple times include at least a first time and a second time after the first time, and a filling rate influence amount indicating the influence amount on the filling rate per object is calculated based on a first filling rate measured on the shelf at the first time, a second filling rate measured on the shelf at the second time, and the number of objects entering and leaving the shelf during a period from the first time to the second time. This allows the fill rate management device to estimate and / or predict the fill rate on the shelf using the fill rate influence amount.

[0154] <Technology 3> In the filling rate management device described in Technique 2, the processor calculates an estimated filling rate of the shelf at the third time based on the number of objects entering and leaving the shelf during the period from the second time to a third time after the second time and the filling rate influence amount. This allows the filling rate management device to estimate the filling rate on the shelf using the filling rate influence amount.

[0155] <Technology 4> In the filling rate management device described in Technology 3, the processor calculates a predicted filling rate when the planned number of objects is stored on the shelf based on the estimated filling rate of the shelf at the third time, a planned number of objects to be stored on the shelf after the third time, and the filling rate influence amount. This allows the filling rate management device to predict the filling rate on the shelf using the estimated filling rate and the filling rate influence amount.

[0156] <Technology 5> In the filling rate management device described in any one of Techniques 2 to 4, the processor calculates a predicted filling rate when the planned number of objects to be stocked is stored on the shelf, based on the second filling rate measured on the shelf at the second time, a planned number of objects to be stocked which is the number of objects to be stocked after the second time, and the filling rate influence amount. This allows the filling rate management device to predict the filling rate on the shelf using the measured filling rate and the filling rate influence amount.

[0157] <Technology 6> In the filling rate management device according to any one of techniques 3 to 5, the processor displays a shelf image obtained by photographing the shelf and the estimated filling rate of the shelf in association with each other. This allows the worker to know the estimated filling rate of each shelf.

[0158] <Technology 7> In the filling rate management device according to any one of techniques 4 to 6, the processor displays a shelf image obtained by photographing the shelf and the predicted filling rate of the shelf in association with each other. This allows the worker to know the predicted filling rate of each shelf.

[0159] <Technology 8> In the filling rate management device according to any one of techniques 4 to 7, the processor displays a shelf where the predicted filling rate is less than a predetermined threshold as a recommended shelf for storing the object to be stored. This allows the worker to easily know the appropriate shelf as the storage location for the object to be stored.

[0160] <Technology 9> In the filling rate management device described in Technology 8, if there is no shelf where the predicted filling rate is less than the predetermined threshold, the processor displays that there is no recommended shelf for storing the object to be stored. This allows the worker to know that there is no shelf suitable for storing the object to be stored.

[0161] <Technology 10> In the filling rate management device described in any one of Techniques 3 to 9, the processor calculates an estimated filling rate for the shelf at a current time using the estimated filling rate for the shelf at a previous time, and displays a predetermined warning if the number of other estimated filling rates included between the last measured filling rate for the shelf and the calculation of the estimated filling rate for the shelf at the current time is equal to or greater than a predetermined threshold. This makes it possible to display a warning to the operator when there is a concern that the accuracy of the estimated filling rate may be reduced due to repeated estimations, thereby making the operator aware of this.

[0162] <Technology 11> In the filling rate management device according to any one of techniques 2 to 10, the processor calculates the estimated filling rate without using dimensions of the object. This makes it possible to accurately calculate the estimated filling rate even if the object is not a rectangular parallelepiped but has an irregular shape.

[0163] <Technology 12> In the filling rate management device described in Technology 1, the multiple times include at least a first time, a second time after the first time, and a third time after the second time, and a first filling rate influence amount indicating an influence amount on the filling rate per one of the first objects and a second filling rate influence amount indicating an influence amount on the filling rate per one of the second objects are calculated based on a first filling rate measured on the shelf at the first time, a second filling rate measured on the shelf at the second time, a third filling rate measured on the shelf at the third time, the number of first objects entering and leaving the shelf and the number of second objects entering and leaving the shelf during a period from the first time to the second time, and the number of first objects entering and leaving the shelf and the number of second objects entering and leaving the shelf during a period from the second time to the third time. This allows the filling rate management device to estimate and / or predict the filling rate on the shelf using the first filling rate influence amount and the second filling rate influence amount when a first object and a second object that are different from each other are brought in and out of stock.

[0164] <Technology 13> A filling rate management method for managing the filling rate of objects (e.g., cargo 9) in the storage space of a shelf (1) calculates a filling rate influence amount indicating the amount of influence on the filling rate per object based on multiple filling rates measured at each of multiple times on the shelf and the number of objects entering and leaving the shelf. This allows the fill rate management device to estimate and / or predict the fill rate on the shelf using the fill rate influence amount.

[0165] Although the embodiments have been described above with reference to the accompanying drawings, the present disclosure is not limited to such examples. It is clear that a person skilled in the art can conceive of various modifications, alterations, substitutions, additions, deletions, and equivalents within the scope of the claims, and it is understood that these also fall within the technical scope of the present disclosure. Furthermore, the components in the above-described embodiments may be combined in any manner without departing from the spirit of the invention. [Industrial Applicability]

[0166] The technology disclosed herein is useful for understanding the loading status of cargo on each shelf. [Explanation of symbols]

[0167] 1 shelf 2A lower row 2B upper row 3A,3B Shelf frame 9. Luggage 10 Measurement System 11. Communications Networks 20 Measuring equipment 21, 21A, 21B Distance measurement sensor 22 Information processing equipment 23 processors 24 memory 25 Communication equipment 26 Device connection device 27 Input Devices 28 Output Devices 30 Filling rate control device 31 processors 32 memory 33 Communication equipment 34 Input Devices 35 Output Device 40 Warehousing control device 41 processors 42 memory 43 Communication equipment 44 Input Devices 45 Output Device 46 Input / output DB 100, 100A, 100B distance measurement data 101A, 101B measurement range 200 Shelf image list screen 300 Dashboard Screen

Claims

1. A fill rate management device for managing a fill rate of objects relative to a storage space of a shelf, the device comprising a processor and a memory, the processor working in cooperation with the memory to: calculating a filling rate influence amount indicating an influence amount on the filling rate per object based on a plurality of filling rates measured at each of a plurality of times on the shelf and the number of objects entering and leaving the shelf; Filling rate management device.

2. the plurality of times includes at least a first time and a second time that is subsequent to the first time; calculating the filling rate influence amount based on a first filling rate of the shelf measured at the first time, a second filling rate of the shelf measured at the second time, and the number of objects entering and leaving the shelf during a period from the first time to the second time; The filling rate control device according to claim 1 .

3. The processor: calculating an estimated filling rate of the shelf at the third time based on the number of objects entering and leaving the shelf during a period from the second time to a third time after the second time and the filling rate influence amount; The filling rate control device according to claim 2 .

4. The processor: calculating a predicted filling rate when the planned number of objects to be stored on the shelf is stored on the shelf based on the estimated filling rate of the shelf at the third time, a planned number of objects to be stored on the shelf after the third time, and the filling rate influence amount; The filling rate control device according to claim 3 .

5. The processor: calculating a predicted filling rate when the planned number of objects to be stored on the shelf is stored on the basis of the second filling rate measured on the shelf at the second time, a planned number of objects to be stored which is the number of objects to be stored after the second time, and the filling rate influence amount; The filling rate control device according to claim 2 .

6. The processor: a shelf image obtained by photographing the shelf and the estimated filling rate of the shelf are displayed in association with each other; The filling rate control device according to claim 3 .

7. The processor: a shelf image obtained by photographing the shelf and the predicted fill rate of the shelf are displayed in association with each other; The filling rate control device according to claim 4 or 5.

8. The processor: a shelf having the predicted fill rate less than a predetermined threshold is displayed as a recommended shelf for storing the object to be stored; The filling rate control device according to claim 4 or 5.

9. The processor: If there is no shelf where the predicted fill rate is less than the predetermined threshold, a message is displayed indicating that there is no recommended shelf where the object to be stored is to be stored. The filling rate control device according to claim 8.

10. The processor: Calculating an estimated filling rate of the shelf at a current time using an estimated filling rate of the shelf at a previous time; If the number of other estimated filling rates included between the last measured filling rate of the shelf and the calculation of the estimated filling rate of the shelf at the current time is equal to or greater than a predetermined threshold, a predetermined warning is displayed. The filling rate control device according to claim 3 .

11. The processor: Calculating the estimated fill rate without using dimensions of the object. The filling rate control device according to claim 3 .

12. the plurality of times include at least a first time, a second time after the first time, and a third time after the second time; calculating a first filling rate influence amount indicating an influence amount on the filling rate per one of the first objects and a second filling rate influence amount indicating an influence amount on the filling rate per one of the second objects based on a first filling rate measured on the shelf at the first time, a second filling rate measured on the shelf at the second time, a third filling rate measured on the shelf at the third time, the number of first objects entering and leaving the shelf and the number of second objects entering and leaving the shelf during a period from the first time to the second time, and the number of first objects entering and leaving the shelf and the number of second objects entering and leaving the shelf during a period from the second time to the third time; The filling rate control device according to claim 1 .

13. A packing rate management method for managing a packing rate of objects relative to a storage space of a shelf, comprising: calculating a filling rate influence amount indicating an influence amount on the filling rate per object based on a plurality of filling rates measured at each of a plurality of times on the shelf and the number of objects entering and leaving the shelf; Filling rate management method.

Images