JP7614124B2 - WAREHOUSE MANAGEMENT DEVICE, WAREHOUSE MANAGEMENT METHOD, AND WAREHOUSE MANAGEMENT PROGRAM - Google Patents

Description

The present invention relates to a warehouse management device, a warehouse management method, and a warehouse management program.

Today, when goods are delivered to a manufacturing site, an order is placed for the goods and the goods are first stored in a warehouse. Then, an instruction is given to remove the goods that have arrived at the warehouse, and the goods are delivered to the manufacturing site after being removed from the warehouse.

Patent Document 1 (JP 2021-187619 A) discloses a picking work support system that aims to improve the efficiency of removal work (picking work) from a warehouse. This picking work support system includes a layout information storage unit, a product storage information storage unit, and an order slip storage unit that stores order slip data. The picking work support system also includes an outgoing slip generation unit that aligns the order slip data with reference to the information stored in the layout information storage unit and the product storage information storage unit, and generates a single outgoing slip data. The picking work support system also includes an outgoing slip distribution unit that distributes the outgoing slip data to each worker with reference to the information stored in the layout information storage unit and the product storage information storage unit.

The outgoing slip distribution unit optimizes the total walking distance, which is the sum of the walking distances of all workers, and the standard deviation of the walking distances of each worker as objective functions to determine the distribution positions of the outgoing slip data. This reduces the total walking distance during picking work and the bias in the walking distances of each worker, thereby improving the efficiency of the warehouse's issuing operations.

JP 2021-187619 A

However, today there is a demand for greater efficiency in warehouse dispensing operations.

The present invention was made in consideration of the above-mentioned problems, and aims to provide a warehouse management device, a warehouse management method, and a warehouse management program that enable further efficiency in warehouse dispensing operations.

In order to solve the above problems and achieve the objective, the warehouse management device of the present invention has an order data generation unit that generates order data including information on items to be removed from the warehouse and immediate removal information indicating whether the items will be immediately removed from the warehouse when delivered to the warehouse, a discrimination unit that discriminates whether the order data includes immediate removal information indicating immediate removal from the warehouse when inputting arrival information for items that have arrived at the warehouse based on the order data, and a data generation unit that generates arrival data for the items that have arrived at the warehouse and removal data that specifies the immediate removal of the items that have arrived at the warehouse when a discrimination result indicating that the order data includes immediate removal information indicating immediate removal from the warehouse is obtained from the discrimination unit.

In order to solve the above-mentioned problems and achieve the objective, the warehouse management method of the present invention includes an order data generation step in which an order data generation unit generates order data including information on items to be removed from the warehouse and immediate removal information indicating whether the items will be immediately removed from the warehouse when delivered to the warehouse, a determination step in which a discrimination unit determines whether the order data includes immediate removal information indicating that the items will be immediately removed from the warehouse when performing arrival input of items that have arrived at the warehouse based on the order data, and a data generation step in which the data generation unit generates arrival data for the items that have arrived at the warehouse and removal data that specifies the immediate removal of the items that have arrived at the warehouse when a determination result is obtained from the discrimination unit indicating that the order data includes immediate removal information indicating that the items will be immediately removed from the warehouse.

In addition, in order to solve the above-mentioned problems and achieve the objective, the warehouse management program of the present invention causes a computer to function as an order data generation unit that generates order data including information regarding items to be removed from the warehouse and immediate removal information indicating whether the items will be immediately removed from the warehouse when delivered to the warehouse, a discrimination unit that discriminates whether the order data includes immediate removal information indicating that the items will be immediately removed from the warehouse when entering the arrival information of items that have arrived at the warehouse based on the order data, and a data generation unit that generates arrival data for the items that have arrived at the warehouse and removal data specifying the immediate removal of the items that have arrived at the warehouse when a discrimination result is obtained from the discrimination unit indicating that the order data includes immediate removal information indicating that the items will be immediately removed from the warehouse.

The present invention has the effect of further improving the efficiency of warehouse dispensing operations.

FIG. 1 is a block diagram showing a hardware configuration of a warehouse management device according to an embodiment of the present invention. FIG. 2 is a flowchart showing the flow of the warehouse management operation of the warehouse management device according to the embodiment. FIG. 3 is a diagram showing a normal flow of dispensing of merchandise received in a warehouse. FIG. 4 is a diagram showing the flow of immediate delivery of merchandise received in a warehouse. FIG. 5 is a diagram for further explaining the normal process of unloading merchandise received in a warehouse. FIG. 6 is a diagram for further explaining the flow of immediate release of merchandise received in the warehouse. FIG. 7 is a flow chart for explaining the operation of the simulation mode in the warehouse management system according to the embodiment. FIG. 8 is a diagram showing various data used in cost calculation in the simulation mode. FIG. 9 is a diagram showing an example of cost simulation data calculated in the simulation mode.

A warehouse management device according to an embodiment of the present invention will be described in detail below with reference to the drawings. Note that the present invention is not limited to the following embodiment.

(Hardware configuration)
1 is a block diagram showing a hardware configuration of a warehouse management device 1 according to an embodiment. As the warehouse management device 1, in addition to a desktop personal computer, a notebook personal computer or a tablet personal computer can be used. Furthermore, as the warehouse management device 1, a PDA (Personal Digital Assistant) device or a portable information processing device such as a smartphone can be used. The warehouse management device 1 includes a storage unit 2, a control unit 3, a communication interface unit 4 and an input/output interface unit 5.

The communication interface unit 4 is connected to a network, for example, a wide area network such as the Internet or a private network such as a local area network (LAN). A labor cost accounting system and an expense accounting system are provided on the network 8, in which actual labor cost data and actual expense data, which will be described later, are stored.

An input device 6 and an output device 7 are connected to the input/output interface unit 5. A monitor device (including a home television) can be used as the output device 7. The input device 6 can be a keyboard device, a mouse device, a microphone device, or a monitor device that works with a mouse device to realize a pointing device function.

The memory unit 2 may be, for example, a storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), a HDD (Hard Disk Drive), or an SSD (Solid State Drive). A delivery management program for managing delivery from the warehouse is stored in the memory unit 2. The memory unit 2 also stores order data, incoming data, delivery data, cost simulation data, and the like, which are generated when the control unit 3 operates based on the delivery management program. The memory unit 2 also stores actual labor cost data acquired from a labor cost accounting system on a specified network, and actual expense data acquired from an expense accounting system on a specified network.

(Functional configuration)
The control unit 3 executes the warehouse management program stored in the memory unit 2, and thereby functions as an order input processing unit 21, an immediate delivery flag discrimination unit 22, a data generation unit 23, a cost calculation unit 25, and a display control unit 26.

The order input processing unit 21 is an example of an order data generation unit, and generates order data in response to an order input operation by a business operator for goods to be delivered to a manufacturing site, for example. This order data is accompanied by immediate delivery information (immediate delivery flag) indicating whether or not to perform "immediate delivery", in which goods arriving at the warehouse are immediately delivered after inspection. The immediate delivery flag discrimination unit 22 is an example of a discrimination unit, and discriminates whether or not the immediate delivery flag included in the order data is an immediate delivery flag indicating "immediate delivery". When the immediate delivery flag included in the order data is an immediate delivery flag indicating "immediate delivery", the data generation unit 23 generates both data at once when the business operator performs an arrival input operation: arrival data indicating that the ordered goods have arrived at the warehouse, and delivery data indicating that the arrived goods have been immediately delivered.

In the "simulation mode" described below, the cost calculation unit 25 performs a simulation-based cost calculation of the manufacturing cost of the product at a stage when actual deliveries have not yet been recorded, making it possible to obtain cost calculations in real time. The display control unit 26 displays the cost simulation data calculated in this manner via the output device 7.

(Overview of Warehouse Management Operations)
2 is a flowchart showing the flow of a warehouse management operation in the warehouse management device according to the embodiment. Each process in the flowchart of FIG. 2 is executed by the control unit 3 based on a warehouse management program stored in the memory unit 2.

First, the business operator operates the input device 6 to, for example, input an order for goods to be delivered to a manufacturing site. The order input processing unit 21 generates order data in response to the order input operation of the business operator (step S1).

Here, when the business operator inputs an order for an item, he or she inputs immediate delivery information (immediate delivery flag) that indicates whether or not the item that has arrived at the warehouse will be "immediately delivered", that is, immediately delivered after inspection. Specifically, the business operator sets the immediate delivery flag to "ON" if the item that has arrived at the warehouse will be "immediately delivered", and sets the immediate delivery flag to "OFF" if the item that has arrived at the warehouse will not be "immediately delivered".

In step S2, the immediate payout flag discrimination unit 22 determines whether the immediate payout flag added to the order data is "on (ON)". If the immediate payout flag discrimination unit 22 determines that the immediate payout flag "on (ON)" has been added to the order data, processing proceeds to step S3. Conversely, if the immediate payout flag discrimination unit 22 determines that the immediate payout flag "off (OFF)" has been added to the order data, processing proceeds to step S6.

When the processing proceeds to step S3 because the immediate delivery flag added to the order data is determined to be "ON," the data generation unit 23 generates both arrival data indicating that the ordered items have arrived at the warehouse when the business operator performs the arrival input operation, and delivery data indicating that the arrived items have been immediately delivered (step S3).

In contrast, if the immediate delivery flag added to the order data is determined to be "OFF" and processing proceeds to step S6, the data generation unit 23 generates arrival data indicating that the ordered goods have arrived at the warehouse when the business operator performs an arrival input operation (step S6). Also, when the business operator performs a delivery input operation, generates delivery data instructing the delivery of the goods that have arrived at the warehouse (step S7).

In other words, if the immediate delivery flag added to the order data is "ON", the data generation unit 23 generates the incoming data and the delivery data at once (step S3). On the other hand, if the immediate delivery flag added to the order data is "OFF", the data generation unit 23 generates the incoming data and the delivery data in stages according to the operation of the business operator.

Figure 3 is a schematic diagram showing the flow of generating incoming data and outgoing data when the immediate outgoing flag added to the order data is "OFF," which corresponds to the flow of steps S1 → S2 → S6 and S7 in the flowchart of Figure 2.

Figure 3(a) shows order data generated in response to an order data input operation by a business operator. As shown in Figure 3(a), the order data includes an order number, product name, quantity, amount, and immediate delivery flag. The example in Figure 3(a) is an example where the order number is "HA001", the product name is "Material A", the quantity is "5 pieces", the amount is "100 yen", and the immediate delivery flag is "OFF".

When the immediate payment flag is "OFF", the data generation unit 23 generates arrival data in response to the arrival input operation of the business operator, as shown in FIG. 3(b). As shown in FIG. 3(b), the arrival data includes the arrival number, product name, quantity, and price. The example in FIG. 3(b) is an example where the arrival number is "NY001", the product name is "material A", the quantity is "5 pieces", and the price is "100 yen".

Furthermore, when the immediate payout flag is "OFF", the data generation unit 23 generates payout data in response to the payout input operation of the business operator, as shown in FIG. 3(c). As shown in FIG. 3(c), the payout data includes a payout number, product name, quantity, and amount. The example in FIG. 3(c) is an example where the payout number is "HA001", the product name is "material A", the quantity is "5 pieces", and the amount is "100 yen".

When the immediate payout flag is thus "OFF," the data generation unit 23 generates the incoming data and the outgoing data at separate times, that is, at the timing of the business operator's incoming data input operation and the timing of the outgoing data input operation.

In contrast, FIG. 4 is a schematic diagram showing the flow of generating incoming data and outgoing data when the immediate outgoing flag added to the order data is "on," which corresponds to the flow of steps S1, S2, and S3 in the flowchart of FIG. 2.

Figure 4(a) shows order data generated in response to an order data input operation by a business operator. As shown in Figure 4(a), the order data includes an order number, product name, quantity, amount, and immediate delivery flag. The example in Figure 4(a) is an example where the order number is "HA001", the product name is "Material A", the quantity is "5 pieces", the amount is "100 yen", and the immediate delivery flag is "ON".

When the immediate payment flag is "ON", the data generation unit 23 generates receipt data and payment data in response to the receipt input operation of the business operator, as shown in FIG. 4(b). As shown in FIG. 4(b), the receipt data includes the receipt number, product name, quantity, and amount. The example in FIG. 4(b) is an example where the receipt number is "NY001", the product name is "material A", the quantity is "5 pieces", and the amount is "100 yen". Also, as shown in FIG. 4(b), the payment data includes the payment number, product name, quantity, and amount. The example in FIG. 4(b) is an example where the payment number is "HA001", the product name is "material A", the quantity is "5 pieces", and the amount is "100 yen".

When the immediate delivery flag is "ON" in this way, the data generation unit 23 generates both incoming data and outgoing data at the timing of the business operator's incoming data input operation. This allows the product to be delivered to the warehouse once and then immediately delivered. This makes it possible to eliminate the need for delivery instructions and picking operations at the warehouse, and improves the efficiency of delivery operations at the warehouse.

In other words, materials used in manufactured products are shipped from the warehouse in response to a shipping command from the manufacturing site. However, if it is clear at the time of ordering which manufacturing site the materials will be used for and for what purpose, then they can be inspected when they arrive and shipped out at the same time. In other words, if the quantity and on-site delivery destination are known at the time of ordering, shipping data can be created based on the order data. As a result, there is no need to take the trouble of stocking materials in the warehouse and then having to carry out picking work when they are used, which improves warehouse work efficiency.

To explain this warehouse management operation again, FIG. 5 is a diagram (normal issuing flow) showing the flow of warehouse management operation when the immediate issue flag added to the order data is "OFF", which corresponds to the flow of steps S1 → S2 → S6 and S7 in the flowchart of FIG. 2. As shown in FIG. 5, in the normal issuing flow, order data is generated with the immediate issue flag set to "OFF" during order registration.

In addition, if the immediate delivery flag in the order data is "OFF", delivery data is generated by the delivery process when the goods arrive at the warehouse. In addition, the delivered goods are delivered from the warehouse and delivered to the production site in response to a delivery command from the production site (delivery process). This generates the delivery data.

As shown in the dotted line frame in FIG. 5, the payment data, actual labor cost data, and actual expense data are used for cost calculation in the simulation mode described below (actual cost aggregation target data). Actual labor cost data is data obtained from a labor cost accounting system formed on a specified network or in the memory unit 2. Actual expense data is also data obtained from an expense accounting system formed on a specified network or in the memory unit 2.

The example in Figure 5 shows a case where the immediate delivery flag of the order data is "OFF." Order data with the immediate delivery flag set to "OFF" is not used for cost calculation in simulation mode. This will be described in more detail later.

In contrast, FIG. 6 is a diagram (immediate delivery flow) showing the flow of warehouse management operations when the immediate delivery flag added to the order data is "on (ON)," which corresponds to the flow of steps S1 → S2 → S3 in the flowchart of FIG. 2. As shown in FIG. 6, in the immediate delivery flow, order data with the immediate delivery flag set to "on (ON)" is generated during order registration.

In addition, if the immediate delivery flag in the order data is "ON", both the delivery data and delivery data are generated by the delivery process when the goods arrive at the warehouse. Products that are to be delivered immediately are notified to the warehouse staff in advance by a contact slip. Therefore, products that are to be delivered immediately are inspected after they arrive, and then delivered immediately to the manufacturing site. This makes it possible to improve the efficiency of delivery operations in the warehouse.

As shown in the dotted line frame in FIG. 6, the payment data, labor cost actual data, and expense actual data are used for cost calculation in the simulation mode described below (data to be tabulated for actual costs). The example in FIG. 6 shows a case where the immediate payment flag for the order data is "on." When the immediate payment flag is "on," the order data is used for cost calculation in the simulation mode (data to be tabulated for actual costs). This will be described in more detail below.

(Simulation mode)
Next, when calculating the cost of manufactured goods, the system calculates the actual cost by tallying up the actual delivery of materials used. This means that accurate cost calculation is difficult until the delivery results are recorded.

However, order data managed with the same serial number is likely to become a cost entry factor for products managed with serial numbers in the future. In addition, for the order data for immediate delivery described above, the delivery destination and use are fixed, so order data with the same serial number and immediate delivery can be considered a more cost entry factor. For this reason, the warehouse management device 1 of the embodiment is equipped with a "simulation mode" that uses order data with serial numbers and immediate delivery flags to enable cost calculations at a stage when delivery results have not yet been recorded.

Figure 7 is a flowchart showing the flow of cost calculation in the simulation mode. Each process in the flowchart in Figure 7 is executed by the control unit 3 based on the warehouse management program stored in the memory unit 2. Also, although this is merely one example, this simulation mode may be executed when no products have arrived at the warehouse, such as when there is a time lag between ordering a product and the ordered product arriving at the warehouse.

In step S11, the cost calculation unit 25 shown in FIG. 1 acquires various data used in cost calculation from the storage unit 2. The data to be acquired includes the order data, payment data, actual labor cost data acquired from the labor cost recording system, and actual expense data acquired from the expense recording system, which are shown as actual cost aggregation target data in FIG. 5 and FIG. 6.

Figure 8 shows the data that was acquired. Of these, Figure 8(a) is the order data. This order data is composed of the order number, order date, expected arrival month, product name, quantity, amount, delivery destination, immediate delivery flag, and product number (serial number). The record for order number "HA002" indicates that a product with serial number "X01" was produced using material with product name "Material B". The record for order number "HA002" also indicates that the immediate delivery flag is "OFF", and that material with product name "Material B" was once received at the warehouse, and then was delivered to the production site by instructions from the production site.

Similarly, the record with order number "HA004" indicates that a product with serial number "Y01" was produced using material with the product name "Material D". In addition, the record with order number "HA004" has the immediate release flag set to "OFF", indicating that material with the product name "Material D" was once received in the warehouse, and then released from the warehouse and delivered to the production site at the instruction of the production site.

In contrast, the record with order number "HA003" indicates that a product with serial number "X01" was produced using material with the product name "Material C." Additionally, the record with order number "HA003" has the immediate release flag set to "ON," indicating that material with the product name "Material C" was received at the warehouse, inspected, and then immediately released and delivered to the manufacturing site.

Similarly, the record with order number "HA005" indicates that a product with production number "Y01" was produced using material with the product name "Material E". In addition, the record with order number "HA005" has the immediate release flag set to "ON", indicating that material with the product name "Material E" was received at the warehouse, inspected, and then immediately released and delivered to the manufacturing site.

Figure 8(b) shows the payment data. This payment data includes the payment number, accounting year and month, product name, quantity, amount, payment destination, and serial number. In Figure 8(b), the records "ID001" and "ID002" indicate that products with the product names "Material F" and "Material G", respectively, were delivered to "Site A" and processed into a product with the serial number "X01". Also, in Figure 8(b), the records "ID003" and "ID004" indicate that products with the product names "Material H" and "Material I", respectively, were delivered to "Site B" and processed into a product with the serial number "Y01".

Figure 8 (c) shows actual labor cost data obtained from the labor accounting system. This actual labor cost data includes the job number, accounting year and month, work hours, wage rate, amount, and serial number. In Figure 8 (c), the record "SA001" shows that manufacturing a product with serial number "X01" requires six hours (6H) of work at a wage rate of 100 yen, resulting in labor costs of 600 yen. Also, in Figure 8 (c), the record "SA002" shows that manufacturing a product with serial number "Y01" requires two hours (2H) of work at a wage rate of 200 yen, resulting in labor costs of 400 yen.

Figure 8 (d) shows actual expense data obtained from the expense accounting system. This actual expense data includes the expense number, accounting year and month, expense item, amount, and serial number. In Figure 8 (d), the record "KE001" indicates that a processing cost of "300 yen" (processing cost A) was incurred when manufacturing a product with serial number "X01". Also, in Figure 8 (d), the record "KE002" indicates that a processing cost of "100 yen" (processing cost B) was incurred when manufacturing a product with serial number "Y01".

Next, upon acquiring such various data, in step S12 of the flowchart in FIG. 7, the cost calculation unit 25 extracts order data for which the immediate delivery flag is on. Specifically, in the example of FIG. 8(a), the cost calculation unit 25 extracts order data for records "HA003" and "HA005" for which the immediate delivery flag is on.

In step S13, the cost calculation unit 25 extracts the delivery data, labor cost actual data, and expense actual data for the same serial number as the serial number attached to the order data of the records "HA003" and "HA005" for which the immediate delivery flag is on. Specifically, in the example of FIG. 8(a), the serial number of the product processed with "material C" of "HA003" for which the immediate delivery flag is on is "X01". Therefore, the cost calculation unit 25 extracts the delivery data, labor cost actual data, and expense actual data for the serial number "X01" from the delivery data, labor cost actual data, and expense actual data shown in FIG. 8(b) to FIG. 8(d).

Similarly, in the example of FIG. 8(a), the serial number of the product processed with "Material E" of "HA005" for which the immediate payment flag is on is "Y01". Therefore, the cost calculation unit 25 extracts the payment data, labor cost actual data, and expense actual data for the serial number "Y01" from the payment data, labor cost actual data, and expense actual data shown in FIG. 8(b) to FIG. 8(d).

Next, in step S14, the cost calculation unit 25 uses the accounting year and month and the same serial number as aggregation keys, executes cost calculation processing based on each extracted data, and calculates cost simulation data showing the manufacturing cost of the product. At this time, if the order data is the subject of calculation, the expected arrival month is used as the accounting year and month for calculation. Also, even if the order data has an immediate delivery flag on (ON), if the product has already arrived at the warehouse (= already delivered), the data is not considered for calculation. Also, if the immediate delivery flag is on (ON), partial delivery is not taken into account at all.

Specifically, the cost calculation unit 25 calculates the manufacturing cost of each product by adding up the material costs indicated in the order data illustrated in FIG. 8(a), the payment costs indicated in the payment data illustrated in FIG. 8(b), the labor costs indicated in the labor cost actual data illustrated in FIG. 8(c), and the processing costs indicated in the expense actual data illustrated in FIG. 8(d) for each product with the same serial number, such as "X01."

Figure 9 shows an example of cost simulation data showing the calculated manufacturing cost. As shown in Figure 9, the cost simulation data includes the serial number, product name, quantity, serial number cost amount, immediate payment cost amount, status, accounting year and month, and order backlog. The example in Figure 9 is cost simulation data for the accounting year and month of "January 2021" for "Product X" with serial number "X01" and "Product Y" with serial number "Y01". The example in Figure 9 shows that for "Product X" with serial number "X01", the serial number cost amount is "2000 yen" and the immediate payment cost amount is "1700 yen". The example in Figure 9 also shows that for "Product Y" with serial number "Y01", the serial number cost amount is "1500 yen" and the immediate payment cost amount is "1400 yen".

The cost simulation data calculated in this manner is temporarily stored in the memory unit 2 by the cost calculation unit 25. Then, in response to a display specification operation by the business operator, the data is read from the memory unit 2 by the display control unit 26 and displayed via the output device 7 (step S15).

This simulation mode makes it possible to include costs at the material ordering stage. This increases the speed with which cost calculation results can be reported, and allows provisional cost calculations to be performed even when the goods have not yet arrived, such as when the delivery date for the goods spans a month or term. Also, early pricing can be performed based on the results of the cost calculation simulation. Furthermore, the results of the cost calculation simulation can be used to reduce costs, etc.

(Effects of the embodiment)
As is clear from the above description, the warehouse management device 1 of the embodiment operates in such a way that materials are delivered to the warehouse once and then immediately removed. This realizes a function for creating a removal record at the same time as the materials arrive, and enables the operation of removing materials immediately after arrival. It also makes it possible to eliminate the need for removal instructions and picking operations at the warehouse. This makes it possible to further improve the efficiency of the removal operations at the warehouse.

Materials used in manufactured products are shipped from warehouse stock in response to a shipping command from the manufacturing site, but if it is clear at the time of ordering which manufacturing site the materials will be used for and for what purpose, they can be inspected at the warehouse and shipped out as soon as they arrive. A function has also been created that creates shipping data as soon as they arrive, which makes it possible to calculate the materials as an entry element in the cost price as an immediate payment item from the order stage. This makes it possible to perform simulated cost calculations at a stage when actual shipping results have not yet been recorded, and obtain cost calculation results in real time.

In addition, the warehouse management device 1 of the embodiment improves the efficiency of warehouse operations by performing the dispensing process at the same time as the arrival of goods, and by including materials at the order stage in the cost, the timeliness of the cost calculation results can be improved, and provisional calculation results can be obtained even when the delivery of goods crosses over a month or term.

The warehouse management device 1 of the embodiment also realizes a process of discharging goods at the same time as they arrive, which reduces the burden on the business and allows for early understanding of accounting figures. In addition to reducing data entry work in the warehouse, immediate discharging allows for early understanding of cost calculations, enabling good cost management and income/expenditure management.

The warehouse management device of the embodiment is also useful in cases where a system requires a receipt and payment record showing which warehouse the product arrived at and which warehouse it was moved to, even though the product is a continuous flow of goods. Also, by associating the order with the planned use at the time of ordering, the efficiency of warehouse operations can be improved. Furthermore, it is possible to grasp the planned cost at the time the product is scheduled to arrive at an early stage from the timing of ordering the product.

[Contribution to the United Nations-led Sustainable Development Goals (SDGs)]
This embodiment can contribute to improving business efficiency and promoting appropriate management decisions by companies, thereby making it possible to contribute to goals 8 and 9 of the SDGs.

In addition, this embodiment can contribute to reducing waste and promoting paperless and electronic systems, which can contribute to the achievement of SDGs goals 12, 13, and 15.

In addition, this embodiment can contribute to strengthening control and governance, making it possible to contribute to Goal 16 of the SDGs.

[Other embodiments]
The present invention may be implemented in various different embodiments other than those described above within the scope of the technical concept described in the claims.

For example, among the processes described in the embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method.

In addition, the processing procedures, control procedures, specific names, registered data for each process, information including search conditions and other parameters, screen examples, and database configurations shown in this specification and drawings may be changed as desired unless otherwise specified.

In addition, with regard to the warehouse management device 1, each component shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure.

For example, the processing functions of the warehouse management device 1, particularly the processing functions performed by the control unit, may be realized in whole or in part by a CPU and a program interpreted and executed by the CPU, or may be realized as hardware using wired logic. The program is recorded on a non-transient computer-readable recording medium that contains programmed instructions for causing the information processing device to execute the processes described in this embodiment, and is mechanically read by the warehouse management device 1 as necessary. That is, a computer program is recorded in a storage unit such as a ROM or HDD (Hard Disk Drive) for working with the OS to give instructions to the CPU and perform various processes. This computer program is executed by being loaded into RAM, and works with the CPU to form the control unit.

This computer program may also be stored in an application program server connected to the warehouse management device 1 via any network, and all or part of it may be downloaded as needed.

The warehouse management program for executing the processes described in this embodiment may be stored in a non-transitory computer-readable recording medium, or may be configured as a program product. Here, the term "recording medium" includes any "portable physical medium" such as a memory card, a Universal Serial Bus (USB) memory, a Secure Digital (SD) card, a flexible disk, a magneto-optical disk, a ROM, an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable and Programmable Read Only Memory (EEPROM (registered trademark)), a Compact Disk Read Only Memory (CD-ROM), a Magneto-Optical Disk (MO), a Digital Versatile Disk (DVD), and a Blu-ray (registered trademark) Disc.

A "program" is a data processing method written in any language or description method, and may be in any format, such as source code or binary code. Note that a "program" is not necessarily limited to a single configuration, but also includes a distributed configuration consisting of multiple modules or libraries, and a program that works in conjunction with a separate program, such as an OS, to achieve its function. Note that the specific configuration and reading procedure for reading a recording medium in each device shown in the embodiments, as well as the installation procedure after reading, can use well-known configurations and procedures.

The various databases stored in the memory unit are storage devices such as RAM, ROM, etc., fixed disk devices such as hard disks, flexible disks, and optical disks, and store various programs, tables, databases, and web page files used for various processes and providing websites.

The warehouse management device 1 may be configured as an information processing device such as a known personal computer or workstation, or may be configured as the information processing device to which any peripheral device is connected. The warehouse management device 1 may be realized by implementing software (including programs or data, etc.) that causes the device to realize the processing described in this embodiment.

Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the figures, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various additions or functional loads. In other words, the above-mentioned embodiments can be implemented in any combination, or the embodiments can be implemented selectively.

This invention is useful for warehouse shipping management operations.

REFERENCE SIGNS LIST 1 Warehouse management device 2 Storage unit 3 Control unit 4 Communication interface unit 5 Input/output interface unit 6 Input device 7 Output device 21 Order input processing unit 22 Immediate delivery flag discrimination unit 23 Data generation unit 25 Cost calculation unit 26 Display control unit

Claims (6)

an order data generating unit that generates order data including information on an item to be removed from a warehouse and immediate removal information indicating whether the item is to be immediately removed from the warehouse when the item is delivered to the warehouse;
a determination unit that, when performing a receipt input of the goods that have arrived at the warehouse based on the order data, determines whether the order data includes the immediate delivery information indicating that the goods will be immediately delivered from the warehouse;
a data generating unit that generates receiving data of the item received at the warehouse and removing data that designates the immediate removal of the item received at the warehouse when the determining unit obtains a determination result indicating that the immediate removal information indicating the immediate removal from the warehouse is included in the order data;
A warehouse management device having the above structure. said data generating unit generates receiving data when the goods arrive at the warehouse based on the order data when the discrimination unit obtains a discrimination result indicating that the immediate removal information indicating that the goods will not be removed from the warehouse is included in the order data, and generates removing data when removal of the goods from the warehouse is specified;
2. The warehouse management device according to claim 1, Further comprising a cost calculation unit that calculates the manufacturing cost of the product when the product is immediately removed from the warehouse;
3. The warehouse management device according to claim 1 or 2, the cost calculation unit calculates the manufacturing cost of the product when immediately dispatched from the warehouse by adding together the material cost indicated in the order data, the dispatch cost indicated in the dispatch data, the labor cost indicated in the labor cost actual data acquired from a labor cost accounting system, and the processing cost indicated in the expense actual data acquired from an expense accounting system;
4. The warehouse management device according to claim 3, an order data generating step in which an order data generating unit generates order data including information on an item to be removed from a warehouse and immediate removal information indicating whether or not the item is to be immediately removed from the warehouse when the item is delivered to the warehouse;
a determination step in which a determination unit, when performing a receipt input of the goods received at the warehouse based on the order data, determines whether or not the order data includes the immediate delivery information indicating that the goods are to be immediately delivered from the warehouse;
a data generating step of generating receiving data of the goods received at the warehouse and discharging data designating immediate discharging of the goods received at the warehouse when a determination result indicating that the immediate discharging information indicating immediate discharging from the warehouse is included in the order data is obtained from the determination unit;
A warehouse management method comprising: Computer,
an order data generating unit that generates order data including information on an item to be removed from a warehouse and immediate removal information indicating whether the item is to be immediately removed from the warehouse when the item is delivered to the warehouse;
a determination unit that, when performing a receipt input of the goods that have arrived at the warehouse based on the order data, determines whether the order data includes the immediate delivery information indicating that the goods will be immediately delivered from the warehouse;
a data generating section that generates receiving data of the goods received at the warehouse and discharging data that designates immediate discharging of the goods received at the warehouse when a determination result indicating that the immediate discharging information indicating that immediate discharging from the warehouse is included in the order data is obtained from the determining section;
A warehouse management program that acts as a

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