WO2025141645A1 - デジタルトランスフォーメーション支援システム、デジタルトランスフォーメーション支援方法およびデジタルトランスフォーメーション支援プログラム - Google Patents

デジタルトランスフォーメーション支援システム、デジタルトランスフォーメーション支援方法およびデジタルトランスフォーメーション支援プログラム Download PDF

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Publication number
WO2025141645A1
WO2025141645A1 PCT/JP2023/046440 JP2023046440W WO2025141645A1 WO 2025141645 A1 WO2025141645 A1 WO 2025141645A1 JP 2023046440 W JP2023046440 W JP 2023046440W WO 2025141645 A1 WO2025141645 A1 WO 2025141645A1
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Prior art keywords
work process
work
index value
process flow
digital
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PCT/JP2023/046440
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English (en)
French (fr)
Japanese (ja)
Inventor
隆臣 佐藤
亮介 夏山
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to JP2025539397A priority Critical patent/JPWO2025141645A1/ja
Priority to PCT/JP2023/046440 priority patent/WO2025141645A1/ja
Priority to TW113115225A priority patent/TW202526800A/zh
Publication of WO2025141645A1 publication Critical patent/WO2025141645A1/ja
Pending legal-status Critical Current
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing

Definitions

  • This disclosure is about supporting digital transformation.
  • Patent Literature 1 discloses a technique for efficiently and reliably storing, as knowledge information, the skills and knowledge acquired by experts in the maintenance and inspection of various devices, etc. This technique extracts knowledge information common to multiple experts from recordings of video/audio information of the same work so that the knowledge information is appropriately managed and made editable.
  • Patent Document 1 assumes that the production system in question is entirely digitalized, and does not disclose or suggest the replacement of manual labor with digital technology.
  • the digital transformation support system disclosed herein comprises: a risk assessment unit that calculates, for each work process of the work process flow based on information indicated in a work log recorded for each execution of the work process flow that has been executed one or more times, at least one of the following index values: a bottleneck index value that is an index value related to a bottleneck of the work process flow, a personal index value that is an index value related to the personal nature of the work process, and a cooperation index value that is an index value related to cooperation between workers, and calculates, for each work process of the work process flow, an evaluation value of the work process using the calculated index values; a recommendation unit that presents a work process for which use of a digital tool is recommended based on the evaluation value of each work process in the work process flow; Equipped with.
  • FIG. 11 is a diagram showing items of information obtained by the processes from step S131 to step S134 in the first embodiment.
  • FIG. 13 shows items of information obtained in step S135 in the first embodiment.
  • FIG. 1 is a diagram showing targets of digital transformation support in the prior art.
  • FIG. 1 is a diagram showing targets of digital transformation support in the first embodiment.
  • FIG. 11 is a configuration diagram of a digital transformation support system 100 in a second embodiment.
  • FIG. 11 is a diagram showing items of information obtained in step S220 in the second embodiment.
  • FIG. 13 is a diagram showing the relationship with investable costs in the second embodiment.
  • FIG. 11 is a diagram showing items of information obtained in step S230 in the second embodiment.
  • FIG. 1 is a hardware configuration diagram of a digital transformation support system 100 according to an embodiment.
  • the memory 102 is a volatile or non-volatile storage device.
  • the memory 102 is also called a primary storage device or a main memory.
  • the memory 102 is a RAM.
  • Data stored in the memory 102 is saved in the secondary storage device 103 as necessary.
  • RAM is an abbreviation for Random Access Memory.
  • the process/facility design DB 212 stores data of drawings drawn using CAD. This data indicates the configuration/dimensions of the production process, the installation position/dimensions/equipment specifications (heater capacity, motor capacity, etc.) of each machine.
  • the production management system 203 is a system that centrally manages operations related to production. For example, the production management system 203 has functions such as sales management, production planning, requirement calculation, purchase management, inventory management, manufacturing management, shipping management, cost management, and budget management.
  • the production condition DB 213 stores information necessary for manufacturing various products. For example, the production condition DB 213 stores information called BOP, such as work procedures and machine setting conditions. The information necessary for manufacturing various products is managed in association with various production processes (process flows).
  • FIG. 3 shows the functional configuration of the digital transformation support system 100.
  • the main features of the digital transformation support system 100 are a risk assessment unit 130 and a recommendation unit 140.
  • the engineer uses the acquisition unit 110 to record the work log.
  • the process writer observes the engineers, interviews the engineers, and uses a user interface to modify (correct, add) the data provided by the extraction unit 120, risk assessment unit 130, and recommendation unit 140.
  • the operation procedure of the digital transformation support system 100 corresponds to a digital transformation support method. Also, the operation procedure of the digital transformation support system 100 corresponds to a processing procedure by a digital transformation support program.
  • the digital transformation support method will be described with reference to FIG.
  • the support target system executes the work process flow one or more times, and a work log is recorded for each execution of the work process flow.
  • a work process flow is made up of multiple work processes that are executed in a set order.
  • the work log indicates information about the executed work process (work process information) for each work process of the executed work process flow.
  • FIG. 5 shows an example of a data format of each piece of work process information shown in the work log.
  • the work log indicates work process information such as "work procedure number,”"work process name,””inputdata,””outputdata,””department,””worker,””worktime,””knowledgeused,””digital tools used,” and “annotations.”
  • the "Work procedure number” indicates the order of the work process in the work process flow. In other words, the work procedure number is the serial number of the work process.
  • Work process name is the name of the work process. The work process name is extracted from video, audio, operation log information, etc. by the process writer or a machine and replaced with text. An example of a machine is an artificial intelligence chatbot.
  • "Input Data” means input data for a work process.
  • Input Data is data required for the execution of a work process.
  • Output data means output data of a work process.
  • Output data is data obtained as a result of executing a work process.
  • Department indicates the name of the department to which the worker belongs.
  • Worker indicates the name of the worker.
  • Work time indicates the time that a worker was involved in the work process.
  • User knowledge refers to information (knowledge information) that the worker used in the work process. Input data is excluded from knowledge information.
  • Digital tool used indicates the name of the digital tool used by the worker in the work process. Information such as the connection destination for using the digital tool may also be indicated.
  • “Notes” means notes regarding the work process.
  • the work log information can be obtained as follows.
  • the information in the work log is recorded by the supported system.
  • a camera and a microphone are installed in the support target system, and a work process flow is executed. During the execution of the work process flow, image data is obtained by the camera, and audio data is obtained by the microphone.
  • Information on the work log is obtained by analyzing the image data and audio data.
  • the information in the work log is written by an engineer of the system to be supported.
  • step S120 the extraction unit 120 detects a plurality of work processes that make up a work process flow from one or more work logs (and performance data). Then, the extraction unit 120 extracts work process information from one or more work logs (and performance data) for each work process in the work process flow.
  • the extraction unit 120 extracts each piece of work process information by performing process mining according to the definition of the basic process model.
  • the basic process model is a model that defines a basic work process flow, and is prepared in advance.
  • Process mining can be performed using existing techniques, an example of which is the Alpha algorithm.
  • the extracted work process information may be modified manually or mechanically.
  • the work process information may be modified as follows:
  • the extraction unit 120 generates a work process flowchart using each of the multiple work process information of the work process flow, and displays the work process flowchart on a display.
  • a work process flowchart illustrates the execution flow of a number of work processes, and shows work process information in association with a figure showing each work process.
  • the process writer selects a work process from the work process flowchart, and instructs changes (corrections, additions, etc.) to the work process information of the selected work process.
  • the extraction unit 120 receives the instruction and modifies the work process information in accordance with the instruction.
  • step S130 the risk assessment unit 130 calculates an assessment value of the work process regarding digital transformation for each work process in the work process flow based on the work process information.
  • step S131 the risk assessment unit 130 calculates, for each work process in the work process flow, the average work time per person, the total number of people working, the number of knowledge uses, and the average for related departments, based on the work process information shown in each of the one or more work logs.
  • the average task time per person is calculated by dividing the total task time by the total number of workers.
  • the total work time is the total of the "work time” required for the work process.
  • the total number of workers is the total number of "workers" involved in the work process. If the same worker is involved in different work rounds, the number of people involved is counted as the number of work rounds in which the same worker was involved.
  • the total number of people involved in the work process is the number of "workers" involved in the work process. If the same worker is involved in different work rounds, the same worker is counted as one person.
  • the number of knowledge uses is the number of pieces of "knowledge information" used in the work process.
  • the average number of related departments is calculated by dividing the total number of related departments by the number of operations (number of operation process information, number of operation logs).
  • the total number of departments involved is the sum of the "departments" involved in the work process. If the same department is involved in different work processes, the same number of work processes in which the same department was involved is counted.
  • step S132 the risk assessment unit 130 calculates a bottleneck index value for each work process in the work process flow, based on the average work time per person and the total number of people working.
  • the bottleneck index value is an index value related to a bottleneck in the work process flow.

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PCT/JP2023/046440 2023-12-25 2023-12-25 デジタルトランスフォーメーション支援システム、デジタルトランスフォーメーション支援方法およびデジタルトランスフォーメーション支援プログラム Pending WO2025141645A1 (ja)

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JP2025539397A JPWO2025141645A1 (https=) 2023-12-25 2023-12-25
PCT/JP2023/046440 WO2025141645A1 (ja) 2023-12-25 2023-12-25 デジタルトランスフォーメーション支援システム、デジタルトランスフォーメーション支援方法およびデジタルトランスフォーメーション支援プログラム
TW113115225A TW202526800A (zh) 2023-12-25 2024-04-24 數位轉換支援系統、數位轉換支援方法以及數位轉換支援程式產品

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7814080B1 (ja) * 2025-12-04 2026-02-16 Ｑｕａｎｔｕｍ Ｎｅｘｕｓ株式会社 プログラム、情報処理システム及び情報処理方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014021755A (ja) * 2012-07-19 2014-02-03 Juki Corp ラインバランス改善策提供装置、ラインバランス改善策抽出方法およびラインバランス改善策抽出プログラム
WO2020162435A1 (ja) * 2019-02-08 2020-08-13 三菱電機株式会社 生産改善支援システム、方法、及びプログラム
JP2023103504A (ja) * 2022-01-14 2023-07-27 パナソニックＩｐマネジメント株式会社 作業ログ記録システムおよび作業ログ記録方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7415999B2 (ja) * 2021-03-26 2024-01-17 横河電機株式会社 解析装置、解析方法およびプログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014021755A (ja) * 2012-07-19 2014-02-03 Juki Corp ラインバランス改善策提供装置、ラインバランス改善策抽出方法およびラインバランス改善策抽出プログラム
WO2020162435A1 (ja) * 2019-02-08 2020-08-13 三菱電機株式会社 生産改善支援システム、方法、及びプログラム
JP2023103504A (ja) * 2022-01-14 2023-07-27 パナソニックＩｐマネジメント株式会社 作業ログ記録システムおよび作業ログ記録方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7814080B1 (ja) * 2025-12-04 2026-02-16 Ｑｕａｎｔｕｍ Ｎｅｘｕｓ株式会社 プログラム、情報処理システム及び情報処理方法

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