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Digital twin-based job shop anomaly detection and dynamic scheduling
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- Li, Yibing (author)
- Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.
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- Tao, Zhiyu (author)
- Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.
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- Wang, Lei (author)
- Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.
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- Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China. Industriell produktion (creator_code:org_t)
- Elsevier BV, 2023
- 2023
- English.
- In: Robotics and Computer-Integrated Manufacturing. - : Elsevier BV. - 0736-5845 .- 1879-2537. ; 79
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Scheduling scheme is one of the critical factors affecting the production efficiency. In the actual production, anomalies will lead to scheduling deviation and influence scheme execution, which makes the traditional job shop scheduling methods are not sufficient to meet the needs of real-time and accuracy. By introducing digital twin (DT), further convergence between physical and virtual space can be achieved, which enormously reinforces real-time performance of job shop scheduling. For flexible job shop, an anomaly detection and dynamic scheduling framework based on DT is proposed in this paper. Previously, a multi-level production process monitoring model is proposed to detect anomaly. Then, a real-time optimization strategy of scheduling scheme based on rolling window mechanism is explored to enforce dynamic scheduling optimization. Finally, the improved grey wolf optimization algorithm is introduced to solve the scheduling problem. Under this framework, it is possible to monitor the deviation between the actual processing state and the planned processing state in real time and effectively reduce the deviation. An equipment manufacturing job shop is taken as a case study to illustrate the effectiveness and advantages of the proposed framework.
Subject headings
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Tvärvetenskapliga studier inom samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Social Sciences Interdisciplinary (hsv//eng)
Keyword
- Digital twin (DT)
- Multi-level production process monitoring model
- Real-time scheduling optimization strategy
- Rolling window mechanism
- Grey wolf optimization algorithm
Publication and Content Type
- ref (subject category)
- art (subject category)
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- Li, Yibing
- Tao, Zhiyu
- Wang, Lei
- Du, Baigang
- Guo, Jun
- Pang, Shibao
- About the subject
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- SOCIAL SCIENCES
- SOCIAL SCIENCES
- and Other Social Sci ...
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- Robotics and Com ...
- By the university
- Royal Institute of Technology
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