Digital inventory management device, digital inventory management method, and digital inventory management program

Abstract

To provide a component optimal for a plurality of important performance evaluation indices, and contribute to achievement of the plurality of important performance evaluation indies, in a multi-valued world.SOLUTION: A digital inventory management device includes: a component information reception part 32 for receiving three-dimensional data of a component; a plurality of KPI reception part for receiving a plurality of important performance evaluation indices; a component order part 33 for receiving an evaluation result of the plurality of important performance evaluation indices, and ordering manufacture of the component to a selected manufacture destination; manufacturing method database 23 storing information on the component manufacturing method; manufacture destination database 24 storing information on the manufacture destination of the component; and a simulator 35 for receiving the plurality of important performance evaluation indices, then evaluating the plurality of important performance evaluation indices, and selecting candidates of the component manufacturing method and the manufacture destination from the manufacturing method database 23 and the manufacture destination database 24.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a digital inventory management device, a digital inventory management method, and a digital inventory management program. [Background technology]

[0002] Digital manufacturing technologies such as additive manufacturing and cutting have evolved, making it possible to supply parts on-site in a short time. In inventory management, so-called digital inventory is being developed, whereby maintenance parts are digitized and managed using three-dimensional CAD (Computer Aided Design) data, etc. For example, in Europe and the United States, additive manufacturing technology is beginning to be applied to maintenance parts in the railway and aircraft fields, achieving inventory reduction.

[0003] Patent document 1 describes an invention for a manufacturing ordering support device that streamlines parts ordering operations, reducing the burden on product manufacturers related to parts ordering, increasing bidding opportunities for parts manufacturers, and enabling them to easily and accurately select desired bidding items. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-125134 Summary of the Invention [Problem to be solved by the invention]

[0005] Until now, digital inventory has been limited to single key performance indicators (KPIs) such as lead time and cost. Therefore, it has not been possible to design an inventory that corresponds to multiple KPIs, including the environmental axis, or to provide optimal maintenance parts accordingly.

[0006] Therefore, an object of the present invention is to provide optimal parts for multiple key performance indicators in a multi-value world, thereby contributing to the achievement of multiple key performance indicators. [Means for solving the problem]

[0007] In order to solve the above-mentioned problems, the digital inventory management device of the present invention comprises a parts information receiving unit that receives information about parts, a key performance indicator receiving unit that receives a plurality of key performance indicators, and a parts ordering unit that receives evaluation results of the plurality of key performance indicators and places an order for the production of the parts with a selected manufacturer.

[0008] The digital inventory management method of the present invention includes a step in which a parts information receiving unit receives parts information, a step in which a key performance indicator receiving unit receives a plurality of key performance indicators, and a step in which a parts ordering unit receives evaluation results of the plurality of key performance indicators and places an order for the production of the parts with a selected manufacturer.

[0009] The digital inventory management program of the present invention causes a computer to execute the steps of accepting information about parts, accepting a number of key performance indicators, and placing an order for the production of the parts with a selected manufacturer based on evaluation results of the multiple key performance indicators. Other means will be described in the description of the embodiment of the invention. Effect of the Invention

[0010] According to the present invention, in a multi-value world, it is possible to provide parts that are optimal for multiple key performance indicators, thereby contributing to the achievement of multiple key performance indicators. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a configuration diagram of a digital inventory management device according to a first embodiment. [Diagram 2] FIG. 13 is a diagram illustrating an example of the operation of a digital inventory control device. [Diagram 3] FIG. 13 is a diagram showing the operation of a digital inventory management device that combines a manufacturing method and supplier selection simulator. [Figure 4] FIG. 13 is a diagram illustrating a manufacturing method database. [Diagram 5] FIG. 13 is a diagram illustrating a manufacturer database. [Figure 6] 1 is a flow chart of a digital inventory control process. [Figure 7] This is a process for manufacturing a part by a molding process. [Figure 8] This is the process of recycling parts by repairing them. [Figure 9] FIG. 11 is a diagram illustrating the operation of the digital inventory management device of the second embodiment. [Figure 10] 13 is a flowchart of an inventory management process. [Figure 11] 1 is a table showing the relationship between events and key performance indicators. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0013] First Embodiment FIG. 1 is a configuration diagram of a digital inventory management device 10 according to the first embodiment. The digital inventory management device 10 orders the manufacture of physical parts based on three-dimensional data of the parts. The digital inventory management device 10 is a computer equipped with a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, and a RAM (Random Access Memory) 13. In a multi-value world, the digital inventory management device 10 contributes to the achievement of multiple key performance indicators by providing optimal maintenance parts for multiple key performance indicators. Here, the multiple key performance indicators are, for example, reduction in lead time, CO2 reduction, and 2 Reduction in parts maintenance costs, etc.

[0014] The CPU 11 is a central processing unit that executes a program and accesses data stored in the ROM 12 or the RAM 13 to realize each functional unit. The ROM 12 is a non-volatile read-only memory, and stores various data, a BIOS (Basic I / O System), etc. The RAM 13 is a volatile readable / writable memory, and temporarily stores various data and programs.

[0015] The digital inventory control device 10 further includes an input unit 14 , a communication unit 15 , a display unit 16 , and a memory unit 17 . The input unit 14 is, for example, a keyboard, a mouse, a touch panel, etc., and is a portion where a user operates the digital inventory management device 10 to input data.

[0016] The communication unit 15 is, for example, a network interface card, and is a component for communicating with other devices and an on-demand ordering platform via a network. The display unit 16 is, for example, a liquid crystal display, and displays characters, figures, images, and the like.

[0017] The storage unit 17 is, for example, a hard disk drive or a solid state drive (SSD) that stores a relatively large amount of data and programs. The storage unit 17 stores a maintenance parts database 21, a parts drawing database 22, a manufacturing method database 23, a manufacturing destination database 24, and a KPI table 25.

[0018] The maintenance parts database 21 stores information on the maintenance parts managed by the digital inventory management device 10. The part drawing database 22 stores three-dimensional CAD data of the maintenance parts stored in the maintenance part database 21. Note that what is stored in the part drawing database 22 is not limited to three-dimensional CAD data of the maintenance parts.

[0019] The manufacturing recipe database 23 stores the relationship between manufacturing recipes and their associated key performance indicators. The manufacturer database 24 stores relationships between manufacturers and their associated key performance indicators. The KPI table 25 stores the relationship between an event and a key performance indicator that should be considered important for that event.

[0020] FIG. 2 is a diagram showing an example of the operation of the digital inventory management device 10. The digital inventory management device 10 has, as functional sections, a multiple KPI receiving section 31, a parts information receiving section 32, a parts ordering section 33, and a repair ordering section 34, as well as a maintenance parts database 21 and a parts drawing database 22.

[0021] When an event occurs in step S30, digital inventory management device 10 executes a series of processes in step S31. A user inputs multiple key performance indicators to multi-KPI reception unit 31 and inputs part information to part information reception unit 32. Multi-KPI reception unit 31 receives multiple key performance indicators. Part information reception unit 32 receives part information. In other words, multi-KPI reception unit 31 functions as a key performance indicator reception unit that receives multiple key performance indicators. Here, the user may input each key performance indicator into the multi-KPI receiving unit 31 by weighting it with a real value (for example, from 0.0 to 1.0).

[0022] Thereafter, the parts ordering unit 33 orders the parts from the manufacturer, or the repair ordering unit 34 orders the repair of the parts from the recycler. At this time, the manufacturing method or the recycler and the supplier are determined based on multiple key performance indicators (cost, lead time, CO 2 emissions, resilience, etc.) are optimal.

[0023] When the parts ordering unit 33 places an order for parts with a manufacturer, the parts supplier manufactures the parts based on the three-dimensional CAD data (step S32) and delivers the parts (step S33). When repair ordering unit 34 places an order for repair of a part with a recycle destination, the recycle destination repairs the part (step S34), performs various inspections on the repaired part (step S35), and then sends the part (step S36).

[0024] FIG. 3 is a diagram showing the operation of an inventory management device that combines a manufacturing method and supplier selection simulator. Digital inventory management device 10 further includes a simulator 35 as a functional unit, and includes a manufacturing method database 23 and a manufacturing destination database 24. Simulator 35 includes a manufacturing method candidate selection unit 351 and a manufacturing destination candidate selection unit 352, and functions as a candidate selection unit that selects candidates for manufacturing methods and / or manufacturing destinations.

[0025] The simulator 35 evaluates a plurality of key performance indicators by simulating the manufacturing or recycling of parts. The manufacturing method candidate selection unit 351 selects manufacturing method candidates by referring to the manufacturing method database 23. The manufacturing destination candidate selection unit 352 selects manufacturing destination candidates by referring to the manufacturing destination database 24.

[0026] FIG. 4 is a diagram for explaining the manufacturing method database 23. As shown in FIG. The manufacturing method database 23 is a database showing the relationship between a manufacturing method or recycling and a number of key performance indicators related thereto. Here, the number of key performance indicators related to the manufacturing method or recycling includes the environmental load, resilience, CO 2 The four selected are additive manufacturing, casting, and part reliability. The manufacturing methods are listed as additive manufacturing, casting, and cutting. The numerical values ​​stored in the manufacturing method or recycling column and the key performance indicator row are indicators that show how well this manufacturing method or recycling method has achieved the key performance indicator.

[0027] FIG. 5 is a diagram for explaining the manufacturer database 24. As shown in FIG. The manufacturing database 24 is a database showing the relationship between manufacturing or recycling destinations and a plurality of key performance indicators related thereto. Here, three items are selected as the plurality of key performance indicators related to manufacturing or recycling destinations: the cost of manufacturing and operating parts, the logistics of parts, and the lead time. In addition, manufacturers are listed as companies A through F. The values ​​stored in the manufacturing or recycling company column and the key performance indicator row are indicators that show the extent to which this manufacturing or recycling company has achieved the key performance indicator.

[0028] FIG. 6 is a flowchart of the inventory management process. First, the simulator 35 repeats the processes from steps S10 to S16 for all manufacturing / recycling methods. The manufacturing method candidate selection unit 351 evaluates the important evaluation indexes based on the manufacturing method and recycling (step S11). The manufacturing method candidate selection unit 351 calculates an evaluation result V by, for example, the following formula (1).

number

[0029] The simulator 35 may narrow down the manufacturing methods and recycling options based on the evaluation results, which allows the digital inventory management device 10 to omit the evaluation of the manufacturers. Next, the simulator 35 repeats the processes from steps S12 to S15 for all the suppliers. The candidate manufacturing location selection unit 352 of the simulator 35 performs a manufacturing simulation based on the supplier and the manufacturing method or recycling (step S13), and evaluates the key evaluation indicators (step S14). At this time, the candidate manufacturing location selection unit 352 calculates the evaluation result V by the following formula (2).

number

[0030] In addition, CO 2The indicator of emission reduction is not only based on the manufacturing method database23 but also on the CO calculated by the life cycle assessment using the following formula (3): 2 It may be calculated based on emissions.

number

[0031] In step S15, the simulator 35 determines whether or not the process has been repeated for all of the suppliers. If there are any suppliers that have not yet been repeated, the simulator 35 returns to step S12. If the process has been repeated for all of the suppliers, the simulator 35 proceeds to step S16.

[0032] In step S16, the simulator 35 judges whether or not all the manufacturing methods and recycling methods have been repeated. If there are all the manufacturing methods and recycling methods that have not been repeated, the simulator 35 returns to step S10. If all the manufacturing methods and recycling methods have been repeated, the simulator 35 proceeds to step S17.

[0033] In step S17, the simulator 35 selects a manufacturing method or recycling and an order destination from the evaluation results of the calculated key evaluation indexes, and then ends the processing in FIG.

[0034] FIG. 7 shows a process for manufacturing a part by a molding process. When a disaster occurs and the supply chain is disrupted, it becomes necessary to procure maintenance parts for the power transmission and substation (step S40). At this time, the digital inventory control device 10 considers procurement means and considers the optimal procurement method based on various KPIs (step S41). The digital inventory control device 10 selects and orders parts from the on-demand ordering platform (step S42). The supplier starts the production (step S43), and after the production is completed, performs various inspections and sends the product to the transmission and substation (step S44).

[0035] Figure 8 shows the process of recycling parts by repair. It becomes necessary to procure maintenance parts for the transmission and substation, and high environmental requirements call for a method with the lowest LCA (Life Cycle Assessment) (step S50). At this time, the digital inventory control device 10 considers procurement means and considers the optimal procurement method based on various KPIs (step S51). The digital inventory control device 10 selects a manufacturer for repair and places an order (step S52). The supplier starts the repair (step S53), and after the repair is completed, various inspections are performed and the product is sent to the transmission and substation (step S54).

[0036] Second Embodiment The digital inventory management device 10 of the second embodiment may store in advance the relationship between events that occur during parts procurement, such as the occurrence of a disaster or increased environmental awareness, and the types of key performance indicators that must be emphasized at that time, so that when an event is input, multiple key performance indicators are automatically selected.

[0037] FIG. 9 is a diagram showing the operation of the digital inventory management device 10 of the second embodiment. The digital inventory management device 10 includes, as functional units, an event reception unit 36, a multiple KPI reception unit 31, a parts information reception unit 32, a parts ordering unit 33, a repair ordering unit 34, and a simulator 35. The digital inventory management device 10 includes a maintenance parts database 21, a parts drawing database 22, a manufacturing method database 23, a manufacturing destination database 24, and a KPI table 25.

[0038] When an event occurs in step S30, the digital inventory management device 10 executes a series of processes in step S31. A user inputs an event to the event reception unit 36 ​​and inputs part information to the part information reception unit 32. The event reception unit 36 ​​inputs multiple key performance indicators to the multiple KPI reception unit 31.

[0039] The simulator 35 evaluates a plurality of key performance indicators by simulating the manufacturing or recycling of parts. The manufacturing method candidate selection unit 351 selects manufacturing method candidates by referring to the manufacturing method database 23. The manufacturing destination candidate selection unit 352 selects manufacturing destination candidates by referring to the manufacturing destination database 24.

[0040] After that, the parts ordering unit 33 receives the evaluation results of the multiple key performance indicators and orders the parts to the manufacturing company, or the repair ordering unit 34 orders the parts to the recycle company for repair. In this case, the manufacturing method or recycle and the supplier are determined based on the evaluation results of the multiple key performance indicators (cost, lead time, CO 2 emissions, resilience, etc.) are optimal.

[0041] When the parts ordering unit 33 places an order for parts with a manufacturer, the parts supplier manufactures the parts based on the three-dimensional CAD data (step S32) and delivers the parts (step S33). When repair ordering unit 34 places an order for repair of a part with a recycle destination, the recycle destination repairs the part (step S34), carries out various inspections (step S35), and then sends the part (step S36).

[0042] FIG. 10 is a flowchart of the inventory management process. First, the event receiving unit 36 ​​converts the input event into weighting values ​​of a plurality of important evaluation indexes (step S09), and then proceeds to the process of step S10. The process after step S10 is the same as the process of FIG.

[0043] FIG. 11 is a KPI table 25 showing the relationship between events and key performance indicators. Here, each row of KPI table 25 lists three events: disaster occurrence and supply chain disruption, failures during heightened environmental awareness, and failures during normal times. Each column of KPI table 25 lists environmental impact, cost, logistics, lead time, resilience, reliability, CO 2Seven key performance indicators for emissions are listed. In this table, the weighting value of the key performance indicators corresponding to the events is shown as a real value between 0.0 and 1.0. This makes it possible to select the optimal manufacturing method and manufacturing location for parts from the perspective of multiple key performance indicators simply by inputting the event.

[0044] (Modification) The present invention is not limited to the above-described embodiment, and includes various modified examples. For example, the above-described embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to those having all of the configurations described. It is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. In addition, it is also possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

[0045] The above configurations, functions, processing units, processing means, etc. may be realized in part or in whole by hardware such as an integrated circuit. The above configurations, functions, etc. may be realized by software by a processor interpreting and executing a program that realizes each function. Information such as the program, table, file, etc. that realizes each function can be stored in a recording device such as a memory, a hard disk, or an SSD (Solid State Drive), or a recording medium such as a flash memory card or a DVD (Digital Versatile Disk).

[0046] In each embodiment, the control lines and information lines are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it may be considered that almost all components are connected to each other. [Explanation of symbols]

[0047] 10 Digital inventory management device 11 CPU 12 ROM 13 RAM 14 Input section 15 Communications Department 16 Display 17 Memory section 21 Maintenance parts database 22 Parts drawing database 23 Manufacturing Method Database (part of the database) 24 Manufacturer database (part of the database) 25 KPI Table (Table) 31 Multiple KPI Reception Department (Key Performance Indicator Reception Department) 32 Parts Information Reception Department 33 Parts Ordering Department 34 Repair Order Department 35 Simulator (Candidate Selection Section) 351 Manufacturing method candidate selection department 352 Manufacturer Candidate Selection Department

Claims

1. a part information receiving unit that receives part information; a key performance indicator receiving unit for receiving a plurality of key performance indicators; a parts ordering unit that receives evaluation results of the plurality of key performance indicators and places an order for the manufacture of the parts with a selected manufacturer; A digital inventory management device comprising:

2. a manufacturing method database storing information regarding a manufacturing method for the part; a candidate selection unit that, after the key performance indicator receiving unit receives a plurality of the key performance indicators, evaluates the plurality of the key performance indicators and selects candidates for the manufacturing method of the part from the manufacturing method database; The digital inventory control device of claim 1 further comprising:

3. A manufacturer database storing information on a manufacturing method and a manufacturer of the part; a candidate selection unit that, after the key performance indicator receiving unit receives a plurality of the key performance indicators, evaluates the plurality of the key performance indicators and selects candidates for a manufacturing method and a manufacturing destination of the part from the manufacturing destination database; 3. The digital inventory control device of claim 2, further comprising:

4. The database further stores information regarding recycling of the parts, the candidate selection unit, after the key performance indicator receiving unit receives the plurality of key performance indicators, evaluates the plurality of key performance indicators and selects candidate manufacturing methods and candidate manufacturing destinations for the parts, or candidate recycling destinations, from the database; 4. The digital inventory control device of claim 3.

5. The key performance indicators are the environmental impacts of the manufacturing and operation of the parts, CO ２ any of the following: emissions, resilience, cost, performance, reliability of said parts, manufacturing lead times of said parts, and logistics; 2. The digital inventory control device of claim 1.

6. The manufacturing method database further includes the environmental impact, CO ２ Indicators related to emissions, resilience, and reliability of the part are stored for each manufacturing method of the part; 4. The digital inventory control device of claim 3.

7. The manufacturing database further stores indices relating to the manufacturing and operating costs of the parts, the reliability of the parts, lead times, and logistics for each manufacturing method and manufacturing location of the parts.

4. The digital inventory control device of claim 3.

8. a maintenance parts database storing information regarding the three-dimensional data of the parts; The digital inventory control device of claim 1 further comprising:

9. a part information receiving unit that receives part information; an event receiving unit that receives a current event; a table showing the relationship between events and weights of multiple key performance indicators; 2. The digital inventory control device of claim 1, further comprising:

10. A part information receiving unit receives part information; A key performance indicator receiving unit receives a plurality of key performance indicators; a parts ordering unit receiving evaluation results of the plurality of key performance indicators and placing an order for the manufacture of the parts with a selected manufacturer; A digital inventory control method comprising:

11. On the computer, Procedures for accepting part information; Procedures for accepting multiple key performance indicators; placing an order for the manufacture of said parts to a selected manufacturer in response to evaluation results of said plurality of key performance indicators; A digital inventory management program to help you:

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