JP2023128143A - Warehouse facility setting method and warehouse facility setting device - Google Patents

Abstract

To provide a warehouse facility setting method and a warehouse facility setting device capable of optimally setting the number of storage spaces for each size of a product in a warehouse building and improving the carry-out efficiency of the product.SOLUTION: A warehouse facility setting method includes: generating, for each size of a product, inventory quantity transition information indicating transition of the inventory quantity of the product in the warehouse building within a target time range; dividing the target time range into a plurality of time periods; calculating an inventory quantity index of the product within each time period by using the inventory quantity transition information; generating, for each calculated inventory quantity index, inventory quantity distribution information indicating how much a time when the inventory quantity of the product is equal to or less than the inventory quantity index occupies in the target time range; and determining the number of installation facilities for each size of the product by solving the optimization problem of an evaluation function that maximizes the minimum value of a ratio indicated by the inventory quantity distribution information under the constraint of the number of installable units of the installation facilities for each size of the product.SELECTED DRAWING: Figure 2

Description

The present invention relates to a warehouse equipment setting method and a warehouse equipment setting apparatus.

Generally, in the manufacturing industry, products manufactured at a factory are transported into a warehouse facility and stored there until shipped. Warehouse facilities are often equipped with overhead cranes for loading and unloading products, and the range in which each overhead crane can travel within the warehouse facility is limited. FIG. 4 shows a configuration example of a shipping facility including a warehouse facility 100 consisting of four warehouse buildings 100a to 100d. One overhead crane 101 is installed in each warehouse building, and carries out loading and unloading of products. The transport vehicle 102 in the figure is in charge of transporting products within the company, and moves products from the factory to the warehouse building, to a shipping berth remote from the warehouse building, and between warehouse buildings. In the figure, reference numeral 103 indicates a loading crane, and reference numeral 104 indicates a carrier ship.

When shipping products stored in such warehouse facilities, the products are loaded onto a shipping vehicle or ship and transported to a customer site or distribution center. In order to carry out such shipping work, it is necessary to carry out the products from inside the warehouse facility, but it is necessary to carry out the products from the same shipping vehicle, the same carrier vessel, and the hold (meaning the room in which the products are stored on the carrier vessel). The unloading work can be carried out more efficiently if the products to be loaded onto the ship (often carried out using the same loading crane) are located close to each other.

For example, when shipping products using a shipping vehicle, if the products to be loaded onto the shipping vehicle are stored separately in multiple warehouse buildings, the shipping vehicle may need to be transported across multiple warehouse buildings. You have to go around and load the product. In this case, it takes extra time to move between warehouse buildings, and the unloading work competes with other work being carried out in the warehouse building where the product is being transported, resulting in waiting time and reducing the efficiency of the unloading work. It becomes easier. If the products to be loaded onto transportation vehicles for shipping are stored together in one warehouse building, the above-mentioned wasted time will be shortened, and the efficiency of carrying out work will be improved.

On the other hand, when shipping products using a carrier ship, it is not always optimal for the products to be loaded on the same carrier ship and ship hold to be stored together in one warehouse building. For example, if the cargo handling capacity of one overhead crane is small compared to the amount of products that one shipping crane can handle per unit time (hereinafter referred to as cargo handling capacity), the products to be loaded will be stored together in one warehouse building. If this happens, the unloading work by the overhead crane will not be able to keep up with the loading work by the loading crane, resulting in interruptions in the loading work. However, even in this case, if the products to be loaded onto the same carrier and cargo hold are stored separately in multiple warehouse buildings, unloading operations tend to be inefficient, so the products to be loaded are stored in a specific warehouse building. It is necessary to summarize the information to some extent.

For the above-mentioned reasons, in order to improve the efficiency of product shipping operations, it is desirable to store products that are to be loaded on the same shipping vehicle, on the same shipping vessel, or in the hold of a ship together in a specific warehouse building. However, when a product is delivered from a factory to a warehouse facility, it is often not determined in which shipping vehicle, carrier ship, or ship hold the product will be loaded. Therefore, after the products are carried into the warehouse facility, the work of moving the products between warehouse buildings may be performed after the transport vehicle, carrier ship, and ship hold for shipping to be loaded are determined. To move products between warehouse buildings, transport vehicles and inter-building carts (carts that move between warehouse buildings) are often used. For example, Patent Document 1 describes a technology for moving products between warehouse buildings using a cart with a cargo handling function so as to avoid increasing the work load on an overhead crane when moving products.

JP2020-33110A Japanese Patent Application Publication No. 2001-206513 Utility Model Publication No. 5-12406

However, even if transport vehicles and trolleys have sufficient ability to move between buildings, it may not be possible to move products to the optimal warehouse building due to equipment constraints. For example, if there is not enough space to store products in the optimal warehouse building, the desired movement between buildings cannot be performed. However, Patent Document 1 does not describe a method for avoiding such a situation. The need to optimally set the number of storage spaces for each product size in a warehouse building will be described below with reference to FIGS. 5 and 6.

FIG. 5 is a top view of one warehouse building for metal coil products. In the warehouse building shown in FIG. waits at the vehicle loading/unloading doorway 105. Especially when the product to be transported is heavy like metal coil product C, it takes a long time to handle the cargo for one transport vehicle, so the transport vehicle has a structure in which the towing part and pallet (truck) can be separated. Often. In this case, the pulling unit can carry out another transport operation after loading the pallet 106 into the vehicle loading/unloading doorway 105, and during this time, the metal coil product C can be loaded onto the pallet 106 placed in the vehicle loading/unloading doorway 105. Work is done.

In the warehouse building shown in FIG. 5, a pedestal 107 for placing metal coil products C one by one is installed. A plurality of pedestals 107 are installed in rows, and the metal coil products C are arranged on each pedestal 107 so as to be lined up. FIG. 6 is a side view of the metal coil product C placed on the pedestal 107. As shown in FIG. 6, the metal coil product C is placed on a fixed base 110 provided on a pedestal 107, and the fixed pedestal 110 is numbered in order from the end of the pedestal 107 (in this example, addresses 1 to 30). is assigned. There are restrictions on the size (width, outer diameter range) and types of metal coil products C that can be arranged depending on the row and address. Further, the metal coil products C can be stacked, but in order to stack them, it is necessary to satisfy conditions set for the size of the metal coil products C and the metal coil products C above and below the tiers.

In such a warehouse building, if there are many sizes of metal coil products C, it is not possible to install fixed stands for all sizes of metal coil products C in one warehouse building. A fixing stand for the size of product C will not be installed. For this reason, unless the number of fixed units for each size of metal coil product C is set to an appropriate number for each warehouse building, situations will frequently occur in which the metal coil product C cannot be moved to the optimal warehouse building. It becomes difficult to increase the efficiency of carrying out. In addition, Patent Document 2 proposes a method for setting storage spaces for each specified size to increase the filling rate of the warehouse, and Patent Document 3 proposes a method for setting storage spaces for each specified size in order to increase the filling rate of the warehouse. A storage device that can do this has been proposed.

However, Patent Documents 2 and 3 do not describe a method for determining how many storage spaces for each size of product are required in a warehouse. Since the sizes of products with one warehouse building as the optimal building are generally biased, even if storage spaces for all product sizes cannot be set up in the warehouse building, the movement work to the optimal building should be done as much as possible. It is possible. Until now, the number of storage areas for each size of product in a warehouse building has been determined using operating conditions and work history, but this is only a rough estimate, and the reality is that it is not possible to set the number of storage areas in detail. .

The present invention has been made to solve the above problems, and its purpose is to provide warehouse equipment that can optimize the number of storage spaces for each size of products in a warehouse building and improve the efficiency of carrying out products. An object of the present invention is to provide a setting method and a warehouse equipment setting device.

A warehouse equipment setting method according to the present invention determines the number of installed equipment in a warehouse equipment that includes a warehouse building for storing products and installed equipment for holding products in the warehouse building provided for each size of the product. 1. A method for setting warehouse equipment, the step of generating an inventory amount transition for each size of the product; Divide the target time range into multiple time periods, calculate the inventory amount index of the product in each time period using the inventory amount transition information, and calculate the inventory amount of the product for each calculated inventory amount index. a step of generating inventory distribution information for each size of the product, generating inventory distribution information indicating the percentage of the target time range in which the amount of time is below the inventory amount index; and a constraint on the number of units that can be installed of the installation equipment. A storage area for determining the number of installed equipment for each size of the product by solving an optimization problem of an evaluation function that maximizes the minimum value of the ratio indicated by the inventory distribution information under conditions for each size of the product. A number determining step.

In the warehouse equipment setting method according to the present invention, in the above invention, the constraint condition is a linear inequality determined based on the size of the warehouse building, and the evaluation function is such that the probability of occurrence of a shortage of storage space for the product is minimized. It is characterized by taking a value set to .

A warehouse equipment setting device according to the present invention is capable of controlling the number of installed equipment in a warehouse equipment that includes a warehouse building for storing products, and installation equipment for holding products in the warehouse building provided for each size of the product. a warehouse equipment setting device for determining inventory amount transition generation unit that generates inventory amount transition information indicating a change in the inventory amount of the product in the warehouse building within a target time range for each size of the product; Divide the target time range into multiple time periods, calculate the inventory amount index of the product in each time period using the inventory amount transition information, and calculate the inventory amount of the product for each calculated inventory amount index. an inventory distribution information generating unit that generates inventory distribution information for each size of the product indicating the percentage of the target time range in which the amount of time is below the inventory amount index; and constraints on the number of units that can be installed of the installation equipment. A storage area for determining the number of installed equipment for each size of the product by solving an optimization problem of an evaluation function that maximizes the minimum value of the ratio indicated by the inventory distribution information under conditions for each size of the product. A number determining section.

In the warehouse equipment setting device according to the present invention, in the above invention, the constraint condition is a linear inequality determined based on the size of the warehouse building, and the evaluation function is configured to minimize the probability of occurrence of a shortage of storage space for the product. It is characterized by taking a value set to .

According to the warehouse equipment setting method and the warehouse equipment setting apparatus according to the present invention, it is possible to optimally set the number of storage spaces for each size of products in a warehouse building and improve the efficiency of carrying out products.

FIG. 1 is a block diagram showing the configuration of a warehouse equipment setting device that is an embodiment of the present invention. FIG. 2 is a flowchart showing the flow of warehouse equipment setting processing according to an embodiment of the present invention. FIG. 3 is a diagram for explaining a method of generating inventory quantity distribution information. FIG. 4 is a schematic diagram showing an example of the configuration of shipping equipment. FIG. 5 is a top view of one warehouse building for metal coil products. FIG. 6 is a side view of the metal coil product placed on the pedestal.

DESCRIPTION OF THE PREFERRED EMBODIMENTS A warehouse equipment setting method and a warehouse equipment setting apparatus, which are one embodiment of the present invention, will be described below with reference to the drawings. In this embodiment, the number of fixed stands 110 for each building is set using the warehouse facilities for metal coil products C shown in FIGS. 4 to 6 as an example. The fixed stand 110 can freely set the number of storage places for each size (width, outer diameter) of the metal coil product C by changing the position, widening or shortening the interval, and using this technology, the number of places to store the metal coil product C can be set at regular intervals. Perform operations to change and update the number of storage locations for each size of product C. Of course, the present technology can be used not only to change the number of storage spaces, but also to design in advance the number of storage spaces for each size of metal coil products C in a newly installed warehouse building. In addition, in this embodiment, the fixed base 110 installed on the same frame has a width group (a group set for each width in a predetermined range) and an outer diameter group (a group set for each width in a predetermined range) of the metal coil product C targeted by the fixed base 110 installed on the same mount The number of racks to be installed in the warehouse building is determined by assuming that all the groups (groups set in

〔composition〕
First, with reference to FIG. 1, the configuration of a warehouse equipment setting device that is an embodiment of the present invention will be described.

FIG. 1 is a block diagram showing the configuration of a warehouse equipment setting device that is an embodiment of the present invention. As shown in FIG. 1, a warehouse equipment setting device 1, which is an embodiment of the present invention, is configured by an information processing device such as a computer, and an arithmetic processing device such as a CPU in the information processing device executes a computer program. Accordingly, it functions as an inventory amount transition generation section 1a, an inventory distribution information generation section 1b, a storage space number determination section 1c, and a storage location setting section 1d. The functions of these parts will be described later. The warehouse equipment setting device 1 is also connected to a database 2 that stores various information for executing warehouse equipment setting processing, which will be described later.

The warehouse equipment setting device 1 having such a configuration optimally sets the number of storage spaces for each size of metal coil products C in the warehouse building by executing the warehouse equipment setting process shown below. Improve the efficiency of carrying out. Hereinafter, with reference to FIG. 2, the operation of the warehouse equipment setting device 1 when executing the warehouse equipment setting process will be described.

[Warehouse equipment setting process]
FIG. 2 is a flowchart showing the flow of warehouse equipment setting processing according to an embodiment of the present invention. The flowchart shown in FIG. 2 starts at the timing when a command to execute the warehouse equipment setting process is input to the warehouse equipment setting device 1, and the warehouse equipment setting process proceeds to step S1.

In the process of step S1, the inventory amount transition generation unit 1a acquires product movement record information and equipment master information of the metal coil product C from the database 2. Here, the product movement record information for metal coil product C includes the product name, outer diameter group name (outer diameter Gr name), width group name (width Gr name), as shown in Table 1 below. ), storage time, exit time, storage building name, and optimal building name.

The outer diameter group and width group of the metal coil product C are determined by the outer diameter and width of the metal coil product C, and the information is saved in the outer diameter group name and width group name items. Which outer diameter group and width group the metal coil product C belongs to is determined by whether the outer diameter and width of the metal coil product C are within the range specified for each group. The warehousing time and the warehousing time indicate the time when the metal coil product C entered and left the warehouse building with the name of the storage building. The optimal building name indicates the name of the warehouse building that is most suitable for storing the metal coil products C in terms of improving carrying out efficiency.

In the process of step S1, the inventory amount trend generation unit 1a acquires information regarding the metal coil products C stored in the warehouse building during the target time range (start time and end time) from the product movement record information. Specifically, the inventory quantity transition generation unit 1a extracts product movement record information of the metal coil product C that satisfies conditions (1) and (2) shown below. Note that the metal coil product C whose storage time is recorded but whose exit time is not recorded (metal coil product C which has not yet been shipped) satisfies condition (2) shown below.

Condition (1): Arrival time < end time of target time range Condition (2): start time of target time range < exit time

Furthermore, the equipment master information includes size group master information and warehouse master information. As shown in Table 2 below, the size group master information includes the number of products that can be stored per row of racks (including stack integration) and the number of products per row of racks for each width group and each outer diameter group. Contains information about the width required to install the mount (frame width). Further, the warehouse master information includes information regarding the warehouse building name and the corresponding warehouse manager. The value obtained by dividing the warehouse length included in the warehouse master information by the pedestal width included in the size group master information becomes the maximum value of the number of pedestal rows that can be installed in that warehouse building. Thereby, the process of step S1 is completed, and the warehouse equipment setting process proceeds to the process of step S1.

In the process of step S2, the inventory amount transition generation unit 1a generates a record of metal coil product C having the same outer diameter group name, width group name, and optimum building name from among the product movement record information acquired in the process of step S1. Extract. Then, the inventory amount transition generation unit 1a generates inventory amount transition information of the metal coil product C in the target time range for each metal coil product C having the same outer diameter group name, width group name, and optimal building name. Specifically, first, the inventory quantity transition generation unit 1a calculates the number of records whose warehousing time is before the start time of the target time range, and sets this number as the initial inventory quantity of the metal coil products C. Next, the inventory amount trend generation unit 1a creates a record that summarizes the storage time and storage time of the extracted records, sorts it in time order, adds +1 to the inventory quantity at the time when the storage time occurs, and Generates a record that adds -1 to the inventory quantity at the time when this occurs. Then, the inventory quantity transition generation unit 1a sequentially adds the numerical values of the generated records to the initial inventory quantity and uses the values as inventory quantity transition information. An example of the generated inventory amount transition information is shown in Table 3 below. In the inventory amount transition information shown in Table 3, the start time of the target time range is 0:00 on 1/1. The first record indicates the initial inventory quantity (52 in this example) of the metal coil products C, and the inventory quantity of the metal coil products C increases or decreases at each time when storage or shipping occurs. Thereby, the process of step S2 is completed, and the warehouse equipment setting process proceeds to the process of step S3.

In the process of step S3, the inventory quantity distribution information generation unit 1b determines, based on the inventory quantity transition information generated in the process of step S2, how long the inventory quantity of the metal coil product C is below a predetermined inventory quantity. Generate inventory distribution information that indicates what percentage of the target time range was present. Specifically, first, as shown in FIG. 3, the inventory quantity distribution information generation unit 1b divides the target time range into a plurality of small time ranges (hereinafter referred to as small time ranges, for example, 30 minutes), and calculates the maximum inventory. The amount is used as an inventory amount index, and a record of the maximum value of inventory amount within each small time period (hereinafter referred to as maximum inventory amount record) is generated. Table 4 below shows an example of a maximum inventory amount record. Next, the inventory quantity distribution information generation unit 1b sorts the maximum inventory quantity records in descending order of maximum inventory quantity, and generates a record (hereinafter referred to as a record item) in which duplicate maximum inventory quantity records are combined into one record. Then, the inventory distribution information generation unit 1b calculates the percentage of the total number of records for which the maximum inventory amount is less than or equal to the maximum inventory amount for each record item, and generates the inventory distribution information. do. An example of inventory distribution information is shown in Table 5 below. In the inventory quantity distribution information shown in Table 5, maximum inventory quantity records are arranged in descending order of maximum inventory quantity, the number of each maximum inventory quantity record (number of records) is calculated, and the number of records is accumulated in order from the top (record The ratio (%) of the integrated value to the total number of records (4800 in this example) is calculated. Note that this inventory quantity distribution information is also generated for each metal coil product C having the same outer diameter group name, width group name, and optimum ridge name. Note that in this embodiment, the maximum inventory amount for each small time zone range is used as the inventory amount index, and the inventory amount distribution is generated based on the maximum inventory amount, but it is also possible to apply other than the maximum inventory amount. For example, instead of the maximum inventory amount, the average inventory amount over a small time period range may be calculated and used as the inventory amount index, and the inventory amount distribution may be generated based on this. Thereby, the process of step S3 is completed, and the warehouse equipment setting process proceeds to the process of step S4.

In the process of step S4, the storage space number determination unit 1c determines the number of racks x i _,j of the metal coil products C of the width group i and the outer diameter group j in the warehouse using the inventory distribution information generated in the process of step S3. Calculated for each building. Specifically, the storage space number determination unit 1c solves the optimization problem of the evaluation function shown in the following equation (1) for the warehouse building k according to the constraint conditions shown in the following equation (2), thereby determining the width. The number of frames x _i,j of metal coil products C of group i and outer diameter group j is calculated. Here, in formulas (1) and (2), i and j are the indices of the width group and outer diameter group of metal coil product C, respectively, and x _{i, j} are the number of frames for width group i and outer diameter group j. . x _i,j must take integer values. Furthermore, a _i,j and b _i,j are fixed parameters, and indicate the number of products that can be stored per row of gantry frames of width group i and outer diameter group j, and the gantry width, respectively. These pieces of information can be obtained from the size group master information obtained in the process of step S1. Further, _Lk in Equation (2) indicates the length of the warehouse building k, and can be obtained from the warehouse manager information included in the warehouse master information acquired in the process of step S1.

The function f _i,j (a _i,j x _i,j ) in Equation (1) is a function that uses the maximum inventory amount shown in Table 5 as an argument and uses the ratio shown in Table 5 as a return value. If the argument takes a value that is not in the maximum inventory amount shown in Table 5, a value obtained by linearly interpolating the ratio may be calculated as the return value. Equation (1) _is based on the function f _{i, j} (a _{i, j} This is an evaluation function for making the value of x _i,j ) as large as possible, in other words, an evaluation function for maximizing the minimum value of the ratio shown in Table 5. For metal coil products C of width group i and outer diameter group j, where the value of the function f _i,j (a _i,j x _i,j ) is small, there is a high possibility that there will be insufficient storage space (frames, fixed stands). . Therefore, in order to minimize the possibility of running out of storage space, the number x _i,j of the metal coil products C of width group i and outer diameter group j is determined by solving an optimization problem. Note that Equation (2) indicates a restriction based on the size of the warehouse area that "the total width of the mounts does not exceed the warehouse length". Furthermore, optimization problems can be easily solved using algorithms such as mathematical programming and metaheuristics. Thereby, the process of step S4 is completed, and the warehouse equipment setting process proceeds to the process of step S5.

In the process of step S5, the storage area setting unit 1d determines each width and each outer diameter based on the number x i _,j of the metal coil products C of the width group i and outer diameter group j determined in the process of step S4. Set the number of pedestal rows for metal coil product C in the group. As a result, the process in step S5 is completed, and the series of warehouse equipment setting processes ends.

As is clear from the above description, in the warehouse equipment setting process that is an embodiment of the present invention, the inventory amount transition generation unit 1a calculates the changes in the inventory amount of metal coil products C in the warehouse building within the target time range. The inventory amount distribution information generation unit 1b divides the target time range into a plurality of time periods, and uses the inventory amount transition information to generate inventory amount change information for each size of the metal coil product C. Extract the maximum inventory amount of metal coil product C, and for each extracted maximum inventory amount, inventory amount that indicates the percentage of the time range in which the inventory amount of metal coil product C is less than or equal to the maximum inventory amount. Distribution information is generated for each size of metal coil product C, and an optimization problem of an evaluation function that maximizes the minimum value of the ratio indicated by inventory distribution information under the constraint of the number of units that can be installed on the metal coil product C is calculated. By solving for each size, the number of frames to be installed for each size of metal coil product C is determined. As a result, it is possible to minimize the possibility that metal coil products C cannot be moved between buildings due to lack of storage space, and metal coil products C can be stored in the optimal warehouse building. Carrying out efficiency can be improved. In addition, in this embodiment, it was assumed that all the fixed stands installed in one row of mounts are of the metal coil product C of the same width group and outer diameter group, but if there are multiple width groups in one row of mounts. Even if metal coil products C of the and outer diameter groups are included, this can be handled by changing the evaluation function shown in equation (1) and the constraint conditions shown in equation (2).

Although the embodiments applying the invention made by the present inventors have been described above, the present invention is not limited to the description and drawings that form part of the disclosure of the present invention by the present embodiments. That is, all other embodiments, examples, operational techniques, etc. made by those skilled in the art based on this embodiment are included in the scope of the present invention.

1 Warehouse equipment setting device 1a Inventory amount transition generation unit 1b Inventory distribution information generation unit 1c Storage lot number determination unit 1d Storage area setting unit 2 Database 100 Warehouse equipment 100a to 100d Warehouse building 101 Overhead crane 102 Transport vehicle 103 Shipping crane 104 Transport ship 105 Vehicle Loading/unloading opening 106 Pallet 107 Frame 110 Fixed base C Metal coil products

Claims (4)

A warehouse equipment setting method for determining the number of installed equipment in a warehouse equipment comprising a warehouse building for storing products, and installation equipment for holding products in the warehouse building provided for each size of the product, the method comprising:
an inventory amount transition generation step of generating inventory amount transition information for each size of the product, indicating a change in the inventory amount of the product in the warehouse building within a target time range;
Divide the target time range into a plurality of time periods, calculate the inventory amount index of the product within each time period using the inventory amount transition information, and calculate the inventory amount of the product for each calculated inventory amount index. a step of generating inventory distribution information for each size of the product;
By solving for each product size an optimization problem of an evaluation function that maximizes the minimum value of the ratio indicated by the inventory distribution information under the constraint condition of the number of units that can be installed in the installation equipment, a storage space number determination step of determining the number of installed equipment;
A method for setting up warehouse equipment, the method comprising: The constraint condition is a linear inequality determined based on the size of the warehouse building, and the evaluation function takes a value set to minimize the probability of occurrence of a shortage of storage space for the product. The warehouse equipment setting method described in 1. A warehouse equipment setting device that determines the number of installed equipment in a warehouse equipment that includes a warehouse building for storing products, and installation equipment for holding products in the warehouse building provided for each size of the product,
an inventory amount transition generation unit that generates inventory amount transition information indicating changes in the inventory amount of the product in the warehouse building within a target time range for each size of the product;
Divide the target time range into a plurality of time periods, calculate the inventory amount index of the product within each time period using the inventory amount transition information, and calculate the inventory amount of the product for each calculated inventory amount index. an inventory amount distribution information generation unit that generates inventory amount distribution information for each size of the product, indicating the percentage of the target time range in which the amount of time is below the inventory amount index;
By solving for each product size an optimization problem of an evaluation function that maximizes the minimum value of the ratio indicated by the inventory distribution information under the constraint condition of the number of units that can be installed in the installation equipment, a storage space number determination unit that determines the number of installed equipment;
A warehouse equipment setting device comprising: The constraint condition is a linear inequality determined based on the size of the warehouse building, and the evaluation function takes a value set to minimize the probability of occurrence of a shortage of storage space for the product. 3. The warehouse equipment setting device according to 3.

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