题名 | Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution |
作者 | |
通讯作者 | Li,Ming |
发表日期 | 2022-07-01
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DOI | |
发表期刊 | |
ISSN | 0278-6125
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卷号 | 64页码:94-106 |
摘要 | Manufacturing complexity and uncertainty still perplex scholars and practitioners, especially in the modern fast-changing market with diversified customer demand, growing product varieties, and mixed production volumes. Emerging Industry 4.0 technology helps resolve the complexity and uncertainty as it dramatically enhances the connectivity, visibility, and traceability via real-time data of production environments in both physical and cyber aspects. However, the management paradigms inherited from the last industrial revolution for decision-making in Planning, Scheduling, and Execution (PSE) are not ready to tap the potentials of Industry 4.0 real-time data to break the bottleneck of complexity and uncertainty. The deepening divide between technological innovations and methodological advancements inevitably hinders progress towards Industry 4.0 manufacturing. Graduation Manufacturing System (GMS) is a novel paradigm that provides flexible and resilient principles for Industry4.0 PSE, but the decision models of GMS have not been discussed in the literature. This paper proposes Graduation-inspired Synchronization (GiSync) framework as the PSE decision mechanism under GMS. GiSync leverages the combined strengths of real-time data collected by advanced technologies and the innovative management philosophy inspired by graduation ceremonies to facilitate real-time, flexible, and resilient decision-making for Industry 4.0 PSE. It includes proximity-based order-job synchronization, suitability-based job-workstation synchronization, and Out-of-Order-based operation-resource synchronization. A case study shows that GiSync outperforms the others on average and displays minor variations in statistics regarding cost-efficiency, punctuality, and simultaneity measures, indicating that GiSync is more effective, stable, and resilient in stochastic environments. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | National Natural Science Foundation of China[52005218];
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EI入藏号 | 20222612266503
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EI主题词 | Decision making
; Industry 4.0
; Stochastic systems
; Synchronization
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EI分类号 | Control Systems:731.1
; Management:912.2
; Manufacturing:913.4
; Systems Science:961
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ESI学科分类 | ENGINEERING
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Scopus记录号 | 2-s2.0-85132365608
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:10
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/343311 |
专题 | 工学院_机械与能源工程系 |
作者单位 | 1.School of Intelligent Systems Science and Engineering,Jinan University (Zhuhai Campus),Zhuhai,519070,China 2.Department of Industrial and Manufacturing Systems Engineering,The University of Hong Kong,Hong Kong 3.Department of Industrial and Systems Engineering,The Hong Kong Polytechnic University,Hung Hom,Hong Kong 4.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,China |
推荐引用方式 GB/T 7714 |
Li,Mingxing,Li,Ming,Ding,Haoran,et al. Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution[J]. JOURNAL OF MANUFACTURING SYSTEMS,2022,64:94-106.
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APA |
Li,Mingxing,Li,Ming,Ding,Haoran,Ling,Shiquan,&Huang,George Q..(2022).Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution.JOURNAL OF MANUFACTURING SYSTEMS,64,94-106.
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MLA |
Li,Mingxing,et al."Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution".JOURNAL OF MANUFACTURING SYSTEMS 64(2022):94-106.
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