Business support device, business support method, and business support program

Abstract

To provide a task support apparatus, a task support method and a task support program for extremely preventing the inconvenience of incorrect inspection results being reported by inspectors and supporting the improvement of shipping work efficiency.SOLUTION: In a task support apparatus 1, an inspection actual quantity acquisition unit 21 acquires an inspection actual quantity per inspector as the quantity of a difference between the total number of products each inspected by one or more inspectors and the number of the products inspected as a defective(s). A shipping time defective quantity acquisition unit 22 acquires a shipping time defective quantity as the quantity of a defective(s) per product found during product inspection upon shipping. A calculation unit 23 calculates the ratio of the quantity of the shipping time defective(s) to the inspection actual quantity. Then, a communication control unit 28 output-controls the ratio of the shipping time defective quantity to the calculated inspection actual quantity via an external device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a business support device, a business support method, and a business support program. [Background technology]

[0002] Inspection work in the retail industry plays an important role in ensuring that products are provided safely and securely. Traditionally, it was common to inspect products both upon arrival and upon shipment. However, today, in order to simplify inspection work, it is common for inspection upon arrival to be omitted and only inspection upon shipment to be performed (inspection-less). For this reason, inspection upon shipment is becoming increasingly important.

[0003] Patent Document 1 (JP 2022-129256 A) discloses a checker that aims to improve quality by reducing labor or preventing the inconvenience of short line stoppages. This checker is equipped with an automatic reject device that automatically rejects defective products from food manufacturing and packaging lines when the product exceeds a predetermined acceptable product range (lower or upper limit) using various quality sensors, thereby discharging the defective product from the system. The checker also has a means for automatically adding data indicating that the inspector has determined the product to be defective.

[0004] This checker shifts various data obtained from the product supply sensor and various sensors that flow in from the previous process. It also analyzes and processes this data and data on defective products rejected by inspectors, and stores it. This defective product data is then fed back to the automatic reject device to derive the optimal solution, gradually bringing the answer closer to perfection, thereby improving quality. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2022-129256 Summary of the Invention [Problem to be solved by the invention]

[0006] Here, product inspection is often outsourced to inspection companies, but there is a constant problem of inspection companies reporting incorrect inspection results. For example, the inspection results may indicate that a product is good, but the actual product is damaged and defective, and the contents of the inspection results reported by the inspection company may differ from the actual product condition. Such defects are often discovered during actual picking, which leads to a decrease in the efficiency of shipping operations.

[0007] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a business support device, a business support method, and a business support program that prevent, as much as possible, the inconvenience of inspection companies reporting incorrect inspection results and support the improvement of the efficiency of shipping operations. [Means for solving the problem]

[0008] In order to solve the above problems and achieve the object, the business support device according to the present invention is a system for allowing one or more inspection companies to The total number of products inspected until the quantity of non-defective products at the time of inspection is equal to the planned inspection quantity is acquired as the inspection result quantity. Inspection result quantity acquisition section, a defective product quantity acquisition unit at the time of shipment that acquires a defective product quantity at the time of shipment, which is the quantity of products that are inspected as defective products through product inspection at the time of product shipment; a data generation unit that updates the inventory data to an inventory quantity obtained by subtracting the inspection result quantity from the inventory quantity of products indicated in the inventory data at the time of product inspection, and that updates the inventory data to an inventory quantity obtained by subtracting the defective product quantity at the time of shipment from the inventory quantity when products that are defective at the time of product shipment that were found at the time of product shipment are replenished from the inventory quantity at the time of product shipment; Inspection results , the number of defective products discovered at the time of shipment A calculation part that calculates the ratio of the calculated inspection result quantity The percentage of defective products at the time of shipment is and an output control unit that controls the output via an external device.

[0009] In order to solve the above problems and achieve the object, the present invention provides The business support method of the business support device , the inspection result quantity acquisition unit, one or more inspection companies respectively The total number of products inspected until the quantity of non-defective products at the time of inspection is equal to the planned inspection quantity is acquired as the inspection result quantity. Step to obtain inspection results quantity, a step of acquiring the number of defective products at time of shipment by an acquisition unit for acquiring the number of defective products at time of shipment, which is the number of products inspected as defective products through product inspection at the time of product shipment; and a data generation step of updating the inventory data to an inventory number obtained by subtracting the inspection result quantity from the inventory number of products indicated in the inventory data at the time of product inspection, and updating the inventory data to an inventory number obtained by subtracting the number of defective products at time of shipment from the inventory number when products with the number of defective products at time of shipment found at the time of product shipment are replenished from the inventory number at the time of product shipment; The calculation section calculates the inspection result quantity. , the number of defective products discovered at the time of shipment a calculation step of calculating a ratio of the actual inspection quantity to the calculated inspection result quantity; The percentage of defective products at the time of shipment is and an output control step of controlling the output via an external device.

[0010] In order to solve the above-mentioned problems and achieve the object, the business support program according to the present invention is a computer that is used by one or more inspection companies, The total number of products inspected until the quantity of non-defective products at the time of inspection is equal to the planned inspection quantity is acquired as the inspection result quantity. Inspection result quantity acquisition section, a defective product quantity acquisition unit at the time of shipment that acquires a defective product quantity at the time of shipment, which is the quantity of products that are inspected as defective products through product inspection at the time of product shipment; a data generation unit that updates the inventory data to an inventory quantity obtained by subtracting the inspection result quantity from the inventory quantity of products indicated in the inventory data at the time of product inspection, and that updates the inventory data to an inventory quantity obtained by subtracting the defective product quantity at the time of shipment from the inventory quantity when products that are defective at the time of product shipment that were found at the time of product shipment are replenished from the inventory quantity at the time of product shipment; Inspection results , the number of defective products discovered at the time of shipment A calculation part that calculates the ratio of the calculated inspection result quantity The percentage of defective products at the time of shipment is It functions as an output control unit that controls output via an external device. [Effects of the Invention]

[0011] The present invention can prevent as much as possible the inconvenience of an inspection company reporting incorrect inspection results, thereby supporting the improvement of efficiency in shipping operations. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a block diagram illustrating a hardware configuration of a task assistance device according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the optimum inventory master. [Figure 3] FIG. 3 is a diagram illustrating an example of the automatic order lead time multiplier master. [Figure 4] FIG. 4 is a diagram illustrating an example of the supplier-specific purchase price master. [Figure 5] FIG. 5 is a diagram illustrating an example of inspection schedule data. [Figure 6] FIG. 6 is a diagram illustrating an example of inventory data before receiving inspection results. [Figure 7] FIG. 7 is a diagram illustrating an example of inspection performance data. [Figure 8] FIG. 8 is a diagram showing an example of inventory data after receiving inspection results. [Figure 9] FIG. 9 is a diagram showing an example of inspection result data in which the number of defective products at the time of shipping has been input. [Figure 10] FIG. 10 is a diagram showing an example of inventory data in which the number of defective products at the time of shipping is reflected. [Figure 11] FIG. 11 is a diagram showing an example of an inspection report accuracy list output screen. [Figure 12] FIG. 12 is a diagram showing an example of an inspection report accuracy list output. [Figure 13] FIG. 13 is a diagram showing another example of the inspection report accuracy list output. [Figure 14] FIG. 14 is a diagram for explaining products that are the subject of automatic ordering. [Figure 15] FIG. 15 is a diagram illustrating an example of the order data. DETAILED DESCRIPTION OF THE INVENTION

[0013] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A task support device according to an embodiment of the present invention will be described in detail below with reference to the accompanying drawings. However, the present invention is not limited to the following embodiment.

[0014] (Hardware configuration) 1, a business support device 1 according to an embodiment includes a storage unit 2, a control unit 3, a communication interface unit 4, and an input / output interface unit 5. An input device 6 and an output device 7 are connected to the input / output interface unit 5. The output device 7 (an example of an output device) corresponds to a display unit such as a monitor device (including a home television), a printing device, a speaker device, or the like.

[0015] The input device 6 may be a keyboard, a mouse, a microphone, or a monitor that functions as a pointing device in cooperation with a mouse. The communication interface unit 4 is connected to a network, such as a wide area network like the Internet or a private network like a LAN (Local Area Network).

[0016] For example, a storage device such as a ROM (Read Only Memory), RAM (Random Access Memory), HDD (Hard Disk Drive), or SSD (Solid State Drive) can be used as the storage unit 2. The storage unit 2 stores a business support program that enables selective inspection requests to be made to inspection companies with high inspection report accuracy, and enables orders to be placed without delay when inventory is low in the warehouse, thereby enabling the maintenance of appropriate inventory.

[0017] The storage unit 2 also has storage areas for an optimum inventory master 11, an automatic ordering lead time rate master 12, and a supplier-specific purchase price master 13. The storage unit 2 also stores various data such as inspection schedule data, inventory data, inspection performance data, and order data.

[0018] As shown in FIG. 2, the optimum inventory master 11 stores the application start date, application end date, warehouse code, product code, product classification, supplier code, order lead time, optimum inventory quantity, and order timing inventory quantity.

[0019] The application start date and application end date indicate the period during which inventory shortages at warehouses are monitored and order data is automatically generated to order products to be stored in warehouses where inventory shortages have occurred. The supplier code is a unique identification code assigned to each supplier of products. The order lead time is the time or number of days required from ordering a product until it is delivered. The optimum inventory quantity is the optimum inventory quantity at that warehouse.

[0020] The order timing inventory quantity is calculated by multiplying the appropriate inventory quantity by the warehouse's appropriate inventory quantity and the automatic order lead time multiplier (multiplier rate) that is predetermined according to the product's order lead time. As will be explained later, when the inventory quantity falls below this order timing inventory quantity, order data is automatically generated.

[0021] Fig. 3 is a diagram showing an example of the automatic order lead time charge master 12. As shown in Fig. 3, the automatic order lead time charge master 12 stores product categories, order lead times, and charge rates in association with each other. As can be seen from Fig. 3, the charge rates are set according to the order lead times of each product category.

[0022] As an example, the commission rate for products in the "AP" product category with an order lead time of "0-5 days" is set to "0.10." Also, the commission rate for products in the "AP" product category with an order lead time of "11-15 days" is set to "0.30." Also, the commission rate for products in the "BP" product category with an order lead time of "11-15 days" is set to "0.45." Also, the commission rate for products in the "BP" product category with an order lead time of "31-60 days" is set to "0.70."

[0023] The above-mentioned order timing inventory quantity is calculated by multiplying the appropriate inventory quantity by this rate.

[0024] Fig. 4 is a diagram showing an example of the supplier-specific purchase unit price master 13. As shown in Fig. 4, the supplier-specific purchase unit price master 13 stores supplier codes, product codes, and unit prices of each product, each associated with the other. The supplier code is a unique identification code assigned to each product supplier. The unit price is the price of one product.

[0025] (Functional configuration of business support device) Next, the control unit 3 executes the business support program stored in the memory unit 2, thereby functioning as an inspection result quantity acquisition unit 21, a defective product quantity acquisition unit 22 at the time of shipment, a calculation unit 23, a display control unit 24, an acquisition unit 25, a comparison unit 26, a data generation unit 27, and a communication control unit 28, as shown in Figure 1.

[0026] The inspection result quantity acquisition unit 21 acquires the inspection result quantity for each inspection company, which is the difference between the total number of products inspected by one or more inspection companies and the number of products inspected as defective. In addition, the shipping defective product quantity acquisition unit 22 is an example of a defective product quantity acquisition unit, and acquires the shipping defective product quantity, which is the number of defective products for each product discovered during inspection work at the time of product shipment. The inspection result quantity or the shipping defective product quantity may be acquired by acquiring data stored in the memory unit 2, etc., or by acquiring data input by the operator of the business support device 1.

[0027] In this example, the explanation will be given assuming that product inspection is performed "at the time of shipment," but the timing of inspection can be arbitrary; for example, it may be performed at the time of arrival, or it may be performed both at the time of arrival and at the time of shipment. If inspection is performed at the time of arrival, an acquisition unit for the number of defective products at arrival may be provided instead of the acquisition unit for the number of defective products at shipment 22, and if inspection is performed at the time of arrival and at the time of shipment, an acquisition unit for the number of defective products at arrival may be provided together with the acquisition unit for the number of defective products at shipment 22. The operation of the acquisition unit for the number of defective products at arrival is the same as the operation of the acquisition unit for the number of defective products at shipment 22. Please refer to the explanation of the operation of the acquisition unit for the number of defective products at shipment 22 described below.

[0028] The calculation unit 23 calculates the ratio of the number of defective products at the time of shipment to the inspection result quantity. The output control unit controls the output of the calculated ratio of the number of defective products at the time of shipment to the inspection result quantity via an external device (output device 7). The display control unit 24 shown in FIG. 1 is an example of the output control unit.

[0029] That is, when the calculated "ratio" is to be displayed, it is displayed by the display control unit 24 via the output device 7. When the calculated "ratio" is to be printed, a print control device is provided instead of the display control unit 24, and a printer is provided as the output device 7, and the print output of the "ratio" is obtained via this printer. When the calculated "ratio" is to be output as audio, an audio output control unit is provided instead of the display control unit 24, and a speaker device is provided as the output device 7, and the audio output of the "ratio" is obtained via this speaker device.

[0030] In addition, when the actual inspection quantity for each inspection company is obtained, the calculation unit 23 calculates a first inventory quantity by subtracting the actual inspection quantity from the original inventory quantity, which is the inventory quantity of products identical to the inspected product stored in a specified warehouse, and when the quantity of defective products at the time of shipment is obtained, it calculates a second inventory quantity by subtracting the quantity of defective products at the time of shipment from the first inventory quantity.

[0031] The data generation unit 27 generates inventory data including the first inventory quantity, product information, and warehouse information when the first inventory quantity is calculated, and generates inventory data including the second inventory quantity, product information, and warehouse information when the second inventory quantity is calculated.

[0032] Furthermore, the calculation unit 23 calculates the ratio of the inspection result quantity and the defective product quantity at the time of shipment during the specified period based on the inspection result quantity and the defective product quantity at the time of shipment acquired during the specified period.

[0033] Furthermore, the calculation unit 23 calculates the ratio for each inspection company or the ratio for each product inspected by each inspection company. The display control unit 24, which is an example of an output control unit, controls the output (display) of the calculated ratio for each inspection company or the ratio for each product inspected by each inspection company via an external device (output device 7).

[0034] The acquisition unit 25 acquires the optimum inventory quantity set for each product stored in each warehouse and the actual inventory quantity for each product stored in each warehouse. The calculation unit 23 multiplies the acquired optimum inventory quantity by a multiplication rate (see FIG. 3) set in advance for each product classification of the product, and calculates the order timing inventory quantity, which is the inventory quantity for ordering the product.

[0035] The comparison unit 26 compares the acquired actual inventory quantity with the calculated inventory quantity at the time of order for each product. When the comparison unit 26 obtains a comparison result indicating that the actual inventory quantity is equal to or less than the inventory quantity at the time of order, the data generation unit 27 generates order data for each product, including an order quantity, which is the difference between the inventory quantity and the inventory quantity at the time of order, and product information specifying the product to be ordered.

[0036] As shown in Figure 3, the commission rate is set according to the order lead time for each product.

[0037] As shown in Fig. 2, the order timing stock quantity has an application start date and an application end date set. The calculation unit 23 calculates the order timing stock quantity from the application start date to the application end date. The comparison unit 26 compares the stock quantity and the order timing stock quantity from the application start date to the application end date. The data generation unit 27 generates order data from the application start date to the application end date.

[0038] The data generating unit 27 also generates order data for each product that includes the order quantity, product information, a preset unit price of the product, and an amount obtained by multiplying the order quantity by the unit price.

[0039] The comparison unit 26 compares the acquired actual inventory quantity with the calculated inventory quantity at the time of order for each product on a daily basis.

[0040] The communication control unit 28 transmits the order data to the supplier's terminal device via a wide area network such as the Internet or a private network such as a local area network (LAN) connected to the communication interface unit 4. This order data may be transmitted at a timing designated by the person in charge, or may be transmitted automatically based on a business support program stored in the storage unit 2 (automatic ordering).

[0041] (Displays a list of inspection report accuracy) Next, the operation of displaying a list of inspection report accuracy in the business support device 1 of this embodiment having such a configuration will be described. The control unit 3 of the business support device 1 executes this operation of displaying a list of inspection report accuracy by functioning as an inspection result quantity acquisition unit 21, a shipment defective product quantity acquisition unit 22, a calculation unit 23, a display control unit 24, and a data generation unit 27 based on the business support program stored in the storage unit 2. Note that some or all of the inspection result quantity acquisition unit 21, shipment defective product quantity acquisition unit 22, calculation unit 23, display control unit 24, and data generation unit 27 may be configured as hardware. In either case, the same effect as described above can be obtained.

[0042] First, the person in charge of the business support device 1 (the person in charge of the product manufacturer) requests each inspection company to inspect the product before shipping when the product is shipped, and stores and manages the inspection results from the inspection company as "inspection performance data" in the memory unit 2.

[0043] Fig. 5 shows an example of inspection schedule data for managing products that are scheduled to be inspected by an inspection company. As shown in Fig. 5, the inspection schedule data includes an inspection request number, an inspection request date, an inspection company code, a line number, a product code, a product name, and a scheduled inspection quantity.

[0044] The inspection request number is newly generated and added according to the inspection request date so that inspection request numbers for the same inspection request date will have the same inspection request number. In the example of Figure 5, the inspection request number for the inspection request date of January 20, 2023 is "KY0001", and the inspection request number for the inspection request date of January 25, 2023 is "KY0002".

[0045] The inspection company code is a unique identification number assigned to the inspection company that has been commissioned to inspect the product. The example in Figure 5 shows that there is an inspection company with the inspection company code "KEN0001" and an inspection company with the inspection company code "KEN0002."

[0046] The planned inspection quantity is the planned number of inspections requested for each product. In the example of Figure 5, the planned number of inspections requested from the inspection company with the inspection company code "KEN0001" is "100 units" of the product code "APB0001" and the product name "A standard black pen." Similarly, in the example of Figure 5, the planned number of inspections requested from the inspection company with the inspection company code "KEN0002" is "120 units" of the product code "APR0001" and the product name "A standard red pen."

[0047] The person in charge inputs the inspection request date and selects an inspection company via the inspection request input screen displayed by the display control unit 24 via the output device 7. The display control unit 24 automatically assigns an inspection request number corresponding to the input inspection request date and displays it on the inspection request input screen. The person in charge also inputs product information (product code and product name) of the product for which inspection is requested, as well as the planned inspection quantity, via the inspection request input screen.

[0048] As a result, the data generation unit 27 generates inspection schedule data including the inspection request number, inspection request date, inspection company code, line number, product code, product name, and planned inspection quantity, as shown in Figure 5, and stores it in the memory unit 2.

[0049] 6 shows inventory data indicating the inventory quantity in each warehouse. In the business support device 1 according to the embodiment, the inventory data stored in the storage unit 2 is updated in accordance with an increase or decrease in inventory in each warehouse, thereby managing the current inventory quantity in each warehouse.

[0050] As shown in FIG. 6, this inventory data includes a warehouse code, which is identification information uniquely assigned to each warehouse, product codes of products stored in each warehouse, product classifications of each product, and current inventory quantities.

[0051] The product classification "AP" shown in FIG. 6 indicates that the product is an "A standard pen," and the product classification "BP" indicates that the product is a "B standard pen."

[0052] The example in Figure 6 also shows that the inventory quantities of standard A black, red, and green pens in the warehouse with warehouse code "SOU0001" are 1,000, 500, and 100, respectively, and standard B black, red, and green pens are 500, 400, and 200, respectively. The example in Figure 6 also shows that the inventory quantities of standard A black pens in the warehouse with warehouse code "SOU0002" are 2,000, respectively, and standard B red pens are 600, respectively.

[0053] Next, the person in charge requests each inspection company to perform an inspection, and inputs the inspection results returned from each inspection company via the inspection record input screen. Specifically, based on the inspection results from each inspection company, the person in charge inputs the inspection record number, inspection record date, inspection company code, warehouse code, inspection request number, inspection request line number, product code, product name, product classification, inspection record quantity, number of good products at the time of inspection, and number of defective products at the time of inspection into the inspection record input screen displayed by the display control unit 24 via the output device 7, as shown in Fig. 7. Note that since this stage is before inspection at the time of shipment, the number of defective products at the time of shipment is not input.

[0054] Of these, the "actual inspection quantity" is a quantity calculated by the calculation unit 23 by performing the calculation "actual inspection quantity = quantity of good products at the time of inspection + quantity of defective products at the time of inspection", and is the total number of inspections performed until the quantity of good products at the time of inspection becomes the same as the planned inspection quantity.

[0055] That is, in the example of Figure 7, in the first record, the planned inspection quantity of "Standard A black pen" for the inspection company code "KEN0001" is "100 units," as shown in the first record of Figure 5. Therefore, the inspection company will perform inspection work so that this planned inspection quantity of "100 units" and the quantity of good products at the time of inspection shown in Figure 7 will be the same "100 units." The first record of Figure 7 shows that, because "10" defective products were found during inspection (quantity of defective products at the time of inspection), a total of "110 units" were inspected in order to make the quantity of good products at the time of inspection the same as the planned inspection quantity of "100 units." This total number of "110 units" is the actual inspection quantity.

[0056] Similarly, in the record on the second line of Figure 7, inspection was performed but no defective products were found (defective product quantity at inspection = 0), and the quantity of non-defective products at inspection and the planned inspection quantity are the same, "60". In this case, the total number of inspections is "60", and this total number, "60", is the actual inspection quantity.

[0057] Based on the input contents of the inspection record input screen, the data generation unit 27 generates inspection record data including the inspection record number, inspection record date, inspection company code, warehouse code, inspection request number, inspection request line number, product code, product name, product classification, inspection record quantity, number of good products at the time of inspection, number of defective products at the time of inspection, and the number of defective products at the time of shipment of "0", as shown in FIG. 7, and stores the data in the memory unit 2.

[0058] Furthermore, the data generation unit 27 updates the inventory quantity of each product in each warehouse to the inventory quantity obtained by subtracting the inspection result quantity, as shown in FIG. 8. Specifically, as shown in the record on the first line of FIG. 7, in the case of an "A-standard black pen" with a product code of "APB0001," the inspection company with the inspection company code of "KEN0001" inspects "110 units (the inspection result quantity)" of products in order to obtain the inspection-time non-defective product quantity of "100 units," which is the same as the planned inspection quantity. Therefore, as shown in FIG. 8, the calculation unit 23 subtracts the inspection result quantity of "110 units" from "1,000 units," which is the inventory quantity of "A-standard black pen" with "APB0001," as shown in FIG. 6. Then, the data generation unit 27 updates the inventory quantity of "A-standard black pen" with "APB0001" to "890 units," which is the result of this subtraction.

[0059] Similarly, as shown in the record on the second line of FIG. 7, in the case of an "A-standard red pen" with a product code of "APR0001," the inspection company with the inspection company code of "KEN0001" inspects "60 units (actual inspection quantity)" of products, thereby obtaining the quantity of non-defective products at the time of inspection of "60 units," which is the same as the planned inspection quantity (quantity of defective products at the time of inspection = 0 units). Therefore, as shown in FIG. 8, the calculation unit 23 subtracts the actual inspection quantity of "60 units" from the inventory quantity of "A-standard red pen" of "APR0001," which is "500 units," as shown in FIG. 6. Then, the data generation unit 27 updates the inventory quantity of "A-standard red pen" of "APR0001" to "440 units," which is the result of this subtraction.

[0060] Next, if the products are found to be defective during the shipping process, the person in charge enters the "quantity of defective products at time of shipping," which is the number of defective products found at time of shipping, into the inspection record data described above, via the shipping record input screen displayed by the display control unit 24 via the output device 7. That is, when the person in charge enters the "quantity of defective products at time of shipping" via the shipping record input screen, the data generation unit 27 updates the quantity of defective products at time of shipping in the inspection record data stored in the storage unit 2 with the number of defective products found at time of shipping, as shown conceptually in FIG.

[0061] In the example of Figure 9, the record on the first line indicates that "10" defective items were found when "A-standard black pen" with product code "APB0001" was shipped, so "10" was entered as the quantity of defective items at time of shipment. Also, the example of Figure 9 indicates that the record on the second line indicates that "A-standard red pen" with product code "APR0001" had an inspection result of "0" defective items at time of inspection, but "20" defective items were found when it was shipped, so "20" was entered as the quantity of defective items at time of shipment.

[0062] In this way, when defective products are discovered at the time of shipment, the quantity of defective products is compensated for from the warehouse inventory and shipped (when defective products are found, they are removed from the inventory through a transfer process to compensate for the number of products to be shipped), so the inventory quantity of products in the warehouse is reduced by this compensated quantity. Therefore, the calculation unit 23 subtracts the number of defective products shipped from the original inventory quantity to calculate the current inventory quantity for each product in each warehouse.

[0063] As shown in Fig. 10, the data generation unit 27 updates the inventory quantity in the inventory data to the inventory quantity calculated by the calculation unit 23. In the example of Fig. 10, the record in the first row indicates that the original inventory quantity was "890 units", but "10 units" of defective products were discovered at the time of shipment, and good products were taken from inventory to make up for these "10" defective products and shipped, so the original inventory quantity was reduced by 10 units and updated to "880 units".

[0064] In addition, the example in Figure 10 shows that the record in the second row had an original inventory quantity of "440 units," but "20 units" of defective products were discovered during shipment, and good products were taken from inventory to make up for these "20" defective products and shipped, so the original inventory quantity was reduced by 20 units and updated to "420 units."

[0065] When inspection performance data that reflects the number of defective products at the time of shipment is generated in this way, it becomes possible to display a list of the inspection report accuracy of each inspection company by specifying "each desired inspection company" or "each desired inspection company and each product." In addition, it is possible to specify a desired "target period" and / or a desired "product classification" for this list display.

[0066] Specifically, when a list display of the inspection report accuracy of each inspection company is specified, the display control unit 24 displays an inspection report accuracy list screen, as shown in Fig. 11, via the output device 7. This inspection report accuracy list screen has an output type selection field, which is a selection field for whether the list display of inspection report accuracy is to be displayed "for each desired inspection company" or "for each desired inspection company and product category."

[0067] The inspection report accuracy list screen also includes an input field for the period for which the inspection report accuracy list is to be displayed, and an input field for the product classification for which the inspection report accuracy list is to be displayed.

[0068] The person in charge selects either the output type (display format) "by inspection company" or "by inspection company and product category" in the output type selection field. The example in Figure 11 shows the state where the output type "by inspection company" has been selected.

[0069] The person in charge also enters the desired target period in the target period input field. In the example of Figure 11, the period "January 1, 2023 to January 31, 2023" has been entered as the target period. If this target period is not entered, a list of inspection report accuracy will be displayed in the selected output type based on the inspection performance data for the entire period.

[0070] If the above-mentioned "per inspection company" output type is selected, inputting "product classification" is optional, but if the above-mentioned "per inspection company per product classification" output type is selected, inputting "product classification" is required. The example in Figure 11 is an example where the "per inspection company" output type is selected and "AP", a product classification for "Standard A", and "BP", a product classification for "Standard B", are entered. Note that if the "per inspection company" output type is selected and product classification is not entered, products of all product classifications will be displayed in the list of inspection report accuracy.

[0071] When the output type, target period, and product classification are input on this inspection report accuracy list screen, the calculation unit 23 refers to the inspection record data shown in Fig. 9 and extracts the inspection record data corresponding to the output type, target period, and product classification input on the inspection report accuracy list screen. Then, based on the extracted inspection record data, the calculation unit 23 calculates the ratio of the quantity of defective products at the time of shipment to the inspection record quantity.

[0072] Specifically, assume that "per inspection company" is selected as the output type. In this case, the calculation unit 23 extracts the inspection performance data of the inspection company with the inspection company code "KEN0001" as shown in FIG. 12(a) and the inspection performance data of the inspection company with the inspection company code "KEN0002" as shown in FIG. 12(c). Then, the calculation unit 23 calculates the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the number of products actually inspected by the inspection company with the inspection company code "KEN0001" as shown in FIG. 12(b), and the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the number of products actually inspected by the inspection company with the inspection company code "KEN0002" as shown in FIG. 12(d), using the following equations, respectively.

[0073] Inspection report accuracy = (1-(total number of defective products at time of shipment / total number of inspection results)) x 100

[0074] The inspection report accuracy of the inspection company with the inspection company code "KEN0001" calculated based on this calculation formula is the following value, as shown in Figure 12(b).

[0075] Inspection report accuracy of the inspection company with inspection company code "KEN0001" = (1-((10 units + 20 units + 10 units + 5 units + 5 units + 0 units) / (100 units + 60 units + 30 units + 50 units + 40 units + 80 units))) × 100 = 86.12%

[0076] Furthermore, the inspection report accuracy of the inspection company with the inspection company code "KEN0002" calculated based on the above-mentioned calculation formula is the following value, as shown in FIG. 12(d).

[0077] Inspection report accuracy of the inspection company with inspection company code "KEN0002" = (1-((10 units + 10 units) / (200 units + 70 units))) x 100 = 92.59%

[0078] 12(e), the data generation unit 27 generates inspection report accuracy list data including the target period, product classification, inspection company code of each inspection company, and the inspection report accuracy calculated by the above-mentioned arithmetic formula specified on the inspection report accuracy list screen, and stores the data in the storage unit 2. The display control unit 24 displays the inspection report accuracy list shown in FIG. 12(e) via the output device 7 based on this inspection report accuracy list data.

[0079] Furthermore, when the "Print" button provided on the inspection report accuracy list screen shown in Fig. 11 is operated, the communication control unit 28 supplies the inspection report accuracy list data to the printing device provided as the output device 7. As a result, a printout of the inspection report accuracy list shown in Fig. 12(e) can be obtained via the printing device.

[0080] Based on this inspection report accuracy list, the person in charge can select an inspection company with high inspection report accuracy and request an inspection. In other words, in the inspection report accuracy list of Figure 12(e), the inspection report accuracy of the inspection company with the inspection company code "KEN0001" is "86.12%", while the inspection report accuracy of the inspection company with the inspection company code "KEN0002" is "92.59%".

[0081] Therefore, it can be seen that by increasing the number of inspection requests to the inspection company with the inspection company code "KEN0002" that has a high inspection report accuracy, it is possible to reduce the number of defective products at the time of shipment, which is the number of defective products discovered at the time of shipment. The manager will conduct this study based on the inspection report accuracy list and give work instructions to increase inspection requests to the inspection company with the inspection company code "KEN0002". This will improve work efficiency at the time of shipment and increase sales turnover.

[0082] In contrast, suppose that "per inspection company per product category" is selected as the output type. In this case, the calculation unit 23 extracts inspection performance data for the "AP" product category inspected by an inspection company with an inspection company code of "KEN0001" as shown in Figure 13(a), and inspection performance data for the "BP" product category inspected by an inspection company with an inspection company code of "KEN0001" as shown in Figure 13(c). Furthermore, the calculation unit 23 extracts inspection performance data for the "AP" product category inspected by an inspection company with an inspection company code of "KEN0002" as shown in Figure 13(e), and inspection performance data for the "BP" product category inspected by an inspection company with an inspection company code of "KEN0002" as shown in Figure 13(g).

[0083] Then, the calculation unit 23 calculates the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the actual inspection quantity, for the product classification "AP" inspected by an inspection company with an inspection company code of "KEN0001", as shown in Figure 13(b).

[0084] Inspection report accuracy for the "AP" product category inspected by an inspection company with the inspection company code "KEN0001" = (1-((10 units + 20 units + 10 units) / (100 units + 60 units + 30 units))) x 100 = 78.94%

[0085] In addition, as shown in Figure 13(d), the calculation unit 23 calculates the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the actual inspection quantity, for the product classification ``BP'' inspected by an inspection company with an inspection company code of ``KEN0001.''

[0086] Inspection report accuracy for the product category "BP" inspected by an inspection company with the inspection company code "KEN0001" = (1-((5 units + 5 units + 0 units) / (50 units + 40 units + 80 units))) x 100 = 95%

[0087] In addition, as shown in Figure 13 (f), the calculation unit 23 calculates the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the actual inspection quantity, for the product classification ``AP'' inspected by an inspection company with an inspection company code of ``KEN0002.''

[0088] Inspection report accuracy for the "AP" product category inspected by the inspection company with the inspection company code "KEN0002" = (1 - (10 units / 200 units)) x 100 = 95%

[0089] In addition, as shown in Figure 13(h), the calculation unit 23 calculates the inspection report accuracy, which is the ratio of the number of defective products at the time of shipment to the actual inspection quantity, for the product classification ``BP'' inspected by an inspection company with an inspection company code of ``KEN0002.''

[0090] Inspection report accuracy for the product category "BP" inspected by the inspection company with the inspection company code "KEN0002" = (1 - (10 units / 70 units)) x 100 = 85.71%

[0091] 13(i), the data generation unit 27 generates inspection report accuracy list data including the target period, product classification, inspection company code of each inspection company, and the inspection report accuracy calculated by the above-mentioned arithmetic formula, specified on the inspection report accuracy list screen, and stores the data in the storage unit 2. The display control unit 24 displays the inspection report accuracy list shown in FIG. 13(i) via the output device 7 based on this inspection report accuracy list data.

[0092] Furthermore, when the "Print" button provided on the inspection report accuracy list screen shown in Fig. 11 is operated, the communication control unit 28 supplies the inspection report accuracy list data to the printing device provided as the output device 7. As a result, a printout of the inspection report accuracy list shown in Fig. 13(i) can be obtained via the printing device.

[0093] Based on this inspection report accuracy list, the responsible person or the like can recognize inspection companies with high inspection report accuracy for each product classification. That is, in the case of the inspection report accuracy list in Figure 13(i), for the product classification of "AP," the inspection company with the inspection company code "KEN0002" has higher inspection report accuracy than the inspection company with the inspection company code "KEN0001." Conversely, for the product classification of "BP," the inspection company with the inspection company code "KEN0001" has higher inspection report accuracy than the inspection company with the inspection company code "KEN0002."

[0094] Therefore, it can be seen that the number of defective products at the time of shipment can be reduced by requesting the inspection of products classified as "AP" to the inspection company with the inspection company code "KEN0002" and the inspection of products classified as "BP" to the inspection company with the inspection company code "KEN0001". The manager considers this based on the inspection report accuracy list and issues work instructions to request the inspection company with the inspection company code "KEN0002" to inspect products classified as "AP", and the inspection company with the inspection company code "KEN0001" to inspect products classified as "BP". This will improve work efficiency at the time of shipment and increase sales turnover.

[0095] (Maintaining proper inventory levels) Next, when the business support device 1 of the embodiment detects a warehouse where inventory is running low, it automatically generates order data and prompts the warehouse to place an order, thereby maintaining the appropriate inventory level in the warehouse where the inventory is running low. The control unit 3 of the business support device 1 performs the operation of maintaining the appropriate inventory level by functioning as a calculation unit 23, a display control unit 24, an acquisition unit 25, a comparison unit 26, a data generation unit 27, and a communication control unit 28 based on the business support program stored in the storage unit 2.

[0096] Note that some or all of the calculation unit 23, display control unit 24, acquisition unit 25, comparison unit 26, data generation unit 27, and communication control unit 28 may be configured as hardware. In either case, the same effects as those described above can be obtained.

[0097] That is, the acquisition unit 25 refers to the inventory data as shown in FIG. 14 at a predetermined timing, such as a date and time, and acquires the optimum inventory quantity set for each product stored in each warehouse and the actual inventory quantity for each product stored in each warehouse.

[0098] As shown in FIG. 3, the calculation unit 23 multiplies the optimum inventory quantity acquired by the acquisition unit 25 by a predetermined rate, for example, depending on the order lead time, for each product classification of the product, to calculate the order timing inventory quantity, which is the inventory quantity at which the product is to be ordered, for each product in each warehouse, as shown in FIG. 14.

[0099] Specifically, in the inventory data in the first row shown in Fig. 14, the order lead time for a product whose product classification is "AP" and whose product code is "APB0001" is, for example, "0 to 5 days." In this case, the calculation unit 23 obtains a multiplier of "0.10" by referring to the automatic order lead time multiplier master 12 shown in Fig. 3. The calculation unit 23 multiplies this multiplier of "0.10" by the appropriate inventory quantity of "1,100 units" to calculate an order timing inventory quantity of "110 units."

[0100] Similarly, in the inventory data on the fourth row shown in Fig. 14, the order lead time for a product whose product classification is "BP" and whose product code is "BPB0001" is, for example, "11 to 15 days." In this case, the calculation unit 23 obtains a multiplier of "0.45" by referring to the automatic order lead time multiplier master 12 shown in Fig. 3. The calculation unit 23 multiplies this multiplier of "0.45" by the appropriate inventory quantity of "600 units" to calculate an order timing inventory quantity of "270 units."

[0101] The data generation unit 27 updates the order timing inventory quantity of the inventory data for each warehouse and each product stored in the storage unit 2 with the calculated order timing inventory quantity. This makes it possible to recognize the order timing inventory quantity for each warehouse and each product, as shown in Figure 14.

[0102] At a predetermined timing, such as a date and time, the comparison unit 26 compares the inventory quantity for each warehouse and each product in the inventory data shown in Fig. 14 with the inventory quantity at the time of ordering. When the comparison unit 26 obtains a comparison result indicating that the actual inventory quantity is equal to or less than the inventory quantity at the time of ordering, as in the records in the second and third lines from the bottom in Fig. 14, the data generation unit 27 generates order data for each product, including an order quantity that is the difference between the inventory quantity and the inventory quantity at the time of ordering, and product information (e.g., product code, product name, etc.) that identifies the product to be ordered, and stores the order data in the storage unit 2.

[0103] An example of order data is shown in Figure 15. As shown in Figure 15, the order data includes an order number, order date, supplier code, warehouse code, line number, product code, product name, product classification, order quantity, unit price, and amount. The data generation unit 27 references the supplier-specific purchase unit price master 13 shown in Figure 4 to determine the supplier code and unit price, and includes the supplier and unit price corresponding to each product in the order data.

[0104] In the above example, as shown in the record on the first line of Fig. 15, the calculation unit 23 calculates "order quantity = inventory quantity - inventory quantity at order timing = 190 units", and the data generation unit 27 generates order data including the calculated order quantity of "190 units". In the above example, as shown in the record on the second line of Fig. 15, the calculation unit 23 calculates "order quantity = inventory quantity - inventory quantity at order timing = 1240 units", and the data generation unit 27 generates order data including the calculated order quantity of "1240 units".

[0105] After calculating the order quantity in this way, the calculation unit 23 calculates the amount required for the order by multiplying the order quantity of the product by the unit price detected from the supplier-specific purchase price master 13 shown in FIG. 4. In the example of FIG. 15, the unit price of the product in the record on the first line is "150 yen" and the order quantity is "190 units." Therefore, the calculation unit 23 calculates the amount required for ordering the product code (BPG0001) by calculating "150 yen x 190 units = 28,500 yen." The data generation unit 27 generates order data including the calculated amount and stores it in the storage unit 2.

[0106] Similarly, in the example of FIG. 15, the unit price of the product in the record on the second line is "70 yen" and the order quantity is "1,240 units." Therefore, the calculation unit 23 calculates the amount required to order the product with the product code (APB0001) by calculating "70 yen x 1,240 units = 86,800 yen." The data generation unit 27 generates order data including the calculated amount and stores it in the storage unit 2.

[0107] In the business support device 1 according to the embodiment, an email address or a uniform resource locator (URL) of a web page where an order can be placed is associated with the supplier code of each product and stored in the storage unit 2. Therefore, when order data is generated as illustrated in Fig. 15, the communication control unit 28 refers to the storage unit 2 based on the supplier code included in the order data, and detects the email address or the URL of the web page where an order can be placed that is associated with the supplier code.

[0108] Then, the communication control unit 28 creates an e-mail with the order data attached as an attachment, and sends it via a network such as the Internet or a LAN (Local Area Network) connected to the communication interface unit 4 shown in Fig. 1. As a result, the sent e-mail is sent to the supplier's terminal device via the mail server device of the provider with which the supplier has a contract, and an order for the out-of-stock product can be automatically placed.

[0109] Alternatively, the communication control unit 28 transmits the order data to the URL of a web page where an order can be placed via a network such as the Internet or a LAN (Local Area Network) connected to the communication interface unit 4 shown in Fig. 1. This causes the transmitted order data to be sent to the supplier's terminal device, enabling automatic ordering of the out-of-stock product.

[0110] Next, in the business support device 1 of the embodiment, an application start date and an application end date are set for the order timing inventory quantity of each product, as shown in Fig. 2. In the example of Fig. 2, the application start date and application end date for the order timing inventory quantity for a product with a product code "APB0001" are "January 1, 2023 to February 28, 2023". Also, in the example of Fig. 2, the application start date and application end date for the order timing inventory quantity for a product with a product code "APR0001" are "January 1, 2023 to February 28, 2023".

[0111] Therefore, the calculation unit 23 calculates the above-mentioned order timing inventory quantity from the application start date to the application end date. Also, the comparison unit 26 compares the above-mentioned inventory quantity and order timing inventory quantity from the application start date to the application end date. Also, the data generation unit 27 generates the above-mentioned order data from the application start date to the application end date.

[0112] In this way, by setting an "application start date" and an "application end date," it is possible to adjust the timing of orders for products whose demand fluctuates depending on the season, and to control whether or not to place an order, thereby enabling automatic ordering at the appropriate time.

[0113] (Effects of the embodiment) As is clear from the above explanation, since it is common in the retail industry to outsource inspections to multiple companies, the business support device 1 of the embodiment tallyes the number of cases where the inspection result report differs from the actual condition of the product for each inspection company, making it possible to compare the "inspection report accuracy."

[0114] This allows for an increase in inspection requests to inspection companies with high inspection report accuracy, which in turn improves the accuracy of shipping operations and allows for earlier recording of sales, thereby improving sales turnover.

[0115] Furthermore, if defective products are found during inspections at the time of shipment, the warehouse's inventory may fall below the appropriate level as it must be replenished from stock and shipped. In order to maintain the appropriate level of inventory, careful management of inventory levels is required on a daily basis. However, because the appropriate level of inventory varies from warehouse to warehouse, the burden of maintaining the appropriate level of inventory is heavy for the person in charge. This results in delays in ordering to suppliers, which could lead to delays in product delivery and loss of sales opportunities.

[0116] In the business support device 1 of the embodiment, the inventory quantity at the time of order, which is calculated taking into account the order lead time, is compared with the appropriate inventory quantity, and if the inventory quantity at the time of order is lower than the appropriate inventory quantity, order data for placing an order for goods with a supplier is automatically generated.

[0117] This allows the person in charge to monitor the inventory levels at each warehouse and place orders with suppliers, thereby maintaining the appropriate inventory levels at each warehouse. It also prevents the inconvenience of relying on specific personnel to operate the business support device 1, which is known as personalization. This prevents delivery delays, prevents lost sales opportunities, and reduces labor costs.

[0118] Furthermore, the communication control unit 28 transmits the generated order data to the supplier's terminal device, thereby automatically ordering the product that is insufficient compared to the appropriate inventory quantity.

[0119] [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 contributing to the achievement of Goals 8 and 9 of the SDGs.

[0120] Furthermore, this embodiment can contribute to reducing waste and promoting paperless and electronic systems, thereby contributing to the achievement of SDGs Goals 12, 13, and 15.

[0121] Furthermore, this embodiment can contribute to strengthening control and governance, which can contribute to the achievement of Goal 16 of the SDGs.

[0122] [Other embodiments] The present invention may be implemented in various different embodiments other than those described above within the scope of the technical concept set forth in the claims.

[0123] 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 known methods.

[0124] Furthermore, the processing procedures, control procedures, specific names, information including parameters such as registered data and search conditions for each process, screen examples, and database configurations shown in this specification and drawings can be changed as desired unless otherwise specified.

[0125] Furthermore, with regard to the task support device 1, the components shown in the figures are functional concepts, and do not necessarily have to be physically configured as shown in the figures.

[0126] For example, all or any part of the processing functions of the business support device 1, particularly the control unit 3 and each processing function performed by the control unit 3, may be realized by a CPU (Central Processing Unit) 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-transitory computer-readable recording medium containing programmed instructions for causing the information processing device to execute the processes described in this embodiment, and is mechanically read by the business support device 1 as needed. That is, a storage unit such as a ROM or HDD stores a computer program for cooperating with the OS to issue instructions to the CPU and perform various processes. The computer program is executed by being loaded into RAM, and cooperates with the CPU to constitute the control unit 3.

[0127] In addition, the business support program of this business support device 1 may be stored in another server device connected to the business support device 1 via any network, and all or part of it may be downloaded as needed.

[0128] The business support program for executing the processes described in this embodiment may be stored in a non-transitory computer-readable recording medium or 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.

[0129] Furthermore, a "program" is a data processing method written in any language or description method, and does not matter whether it is in the form of source code or binary code. Note that a "program" is not necessarily limited to a single structure, but also includes a structure that is distributed as multiple modules or libraries, or a structure that achieves its function by cooperating with a separate program, such as an OS. Note that the specific structure and reading procedure for reading a recording medium in the business support device 1 described in the embodiment, as well as the installation procedure after reading, can use well-known structures and procedures.

[0130] The memory unit 2 is a storage means such as a memory device such as RAM or ROM, a fixed disk device such as a hard disk, a flexible disk, or an optical disk, and stores various programs, tables, databases, and web page files used for various processes and providing websites.

[0131] The business support device 1 may be configured as an information processing device such as a known personal computer or a workstation, or may be configured as an information processing device connected to any peripheral device. The information processing device may be realized by installing software (including programs or data) that realizes the processing described in this embodiment.

[0132] Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the drawings, and all or part of them can be configured by functionally or physically distributing and integrating them in any unit according to various additions or functional loads. In other words, the above-described embodiments can be implemented in any combination, or embodiments can be implemented selectively. [Industrial Applicability]

[0133] The present invention is suitable for application to inspection work in industries that handle a large number of products, such as wholesale businesses. [Explanation of symbols]

[0134] 1 Business support equipment 2 Storage section 3. Control Unit 4. Communication interface section 5 Input / output interface section 6 Input Devices 7 Output Devices 11 Optimal inventory master 12 Automatic ordering lead time rate master 13 Supplier-specific purchase price master 21 Inspection Results Quantity Acquisition Department 22. Defective product quantity acquisition section at the time of shipment 23 Calculation section 24 Display control unit 25 Acquisition Department 26 Comparison section 27 Data Generation Unit 28 Communication control section

Claims

1. an inspection result quantity acquisition unit that acquires, as an inspection result quantity, a total number of products inspected by one or more inspection companies until the quantity of non-defective products at the time of inspection becomes the same as the quantity planned for inspection; a defective product quantity acquisition unit at the time of shipment that acquires a defective product quantity at the time of shipment, which is the quantity of the products that have been inspected as defective products by inspection of the products at the time of shipment of the products; a data generating unit that, when inspecting the products, updates the inventory data to an inventory quantity obtained by subtracting the inspection result quantity from the inventory quantity of the products indicated in the inventory data, and, when shipping the products, when the quantity of defective products at the time of shipping that were discovered at the time of shipping is replenished from the inventory quantity, updates the inventory data to an inventory quantity obtained by subtracting the quantity of defective products at the time of shipping from the inventory quantity; a calculation unit that calculates a ratio of the number of defective products at the time of shipment that are found at the time of shipping to the number of products that have been inspected; an output control unit that controls output of the calculated ratio of the defective quantity at the time of shipment to the actual inspection quantity via an external device; A business support device having the above.

2. the calculation unit calculates a ratio of the number of defective products at the time of shipment to the number of defective products at the time of shipment during a specified period based on the number of defective products and the number of inspection results acquired during the specified period; 2. The business support device according to claim 1, wherein:

3. the calculation unit calculates the ratio for each inspection company or the ratio for each product inspected by each of the inspection companies; the output control unit controls output of the calculated ratio for each inspection company or the ratio for each product inspected by each of the inspection companies via the external device; 3. The business support device according to claim 2, wherein:

4. The calculation unit calculates an order timing inventory quantity, which is the inventory quantity for ordering a product, by multiplying the appropriate inventory quantity set for each product by a predetermined multiplication rate set according to the order lead time of the product; A comparison unit is further provided that compares the current inventory quantity indicated by the inventory data with the inventory quantity at the time of order, when the comparison unit obtains a comparison result indicating that the current inventory quantity is equal to or less than the inventory quantity at the order timing, the data generation unit generates order data for the product including an order quantity that is the difference between the current inventory quantity and the inventory quantity at the order timing, and stores the order data in a storage unit; 4. The business support device according to claim 1, wherein:

5. an inspection result quantity acquisition step in which an inspection result quantity acquisition unit acquires, as an inspection result quantity, a total number of products inspected by one or more inspection companies until the quantity of non-defective products at the time of inspection becomes the same as the planned inspection quantity; a defective product quantity acquisition step at the time of shipment in which an acquisition unit for acquiring the defective product quantity at the time of shipment acquires the defective product quantity, which is the quantity of the products that have been inspected as defective products by inspection of the products at the time of shipment of the products; a data generation step in which a data generation unit updates the inventory data to an inventory quantity obtained by subtracting the inspection result quantity from the inventory quantity of the product indicated in the inventory data when inspecting the product, and updates the inventory data to an inventory quantity obtained by subtracting the quantity of defective products at the time of shipment from the inventory quantity when the product is shipped and the quantity of defective products at the time of shipment is replenished from the inventory quantity; a calculation step in which a calculation unit calculates a ratio of the quantity of defective products at the time of shipment discovered at the time of shipping of the products to the inspection result quantity; an output control step in which an output control unit controls output of the calculated ratio of the number of defective products at the time of shipment to the number of actual inspection products via an external device; A business support method for a business support device having the above-mentioned configuration.

6. Computer, an inspection result quantity acquisition unit that acquires, as an inspection result quantity, a total number of products inspected by one or more inspection companies until the quantity of non-defective products at the time of inspection becomes the same as the quantity planned for inspection; a defective product quantity acquisition unit at the time of shipment that acquires a defective product quantity at the time of shipment, which is the quantity of the products that have been inspected as defective products by inspection of the products at the time of shipment of the products; a data generating unit that, when inspecting the products, updates the inventory data to an inventory quantity obtained by subtracting the inspection result quantity from the inventory quantity of the products indicated in the inventory data, and, when shipping the products, when the quantity of defective products at the time of shipping that were discovered at the time of shipping is replenished from the inventory quantity, updates the inventory data to an inventory quantity obtained by subtracting the quantity of defective products at the time of shipping from the inventory quantity; a calculation unit that calculates a ratio of the number of defective products at the time of shipment that are found at the time of shipping to the number of products that have been inspected; functioning as an output control unit that controls output of the calculated ratio of the number of defective products at the time of shipment to the number of inspection results via an external device; A business support program that features:

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