Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution
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.
National Natural Science Foundation of China;
|EI Accession Number|
Decision making ; Industry 4.0 ; Stochastic systems ; Synchronization
|ESI Classification Code|
Control Systems:731.1 ; Management:912.2 ; Manufacturing:913.4 ; Systems Science:961
|ESI Research Field|
Cited Times [WOS]:3
|Document Type||Journal Article|
|Department||Department of Mechanical and Energy Engineering|
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
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.
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.
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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