中文版 | English
Title

Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution

Author
Corresponding AuthorLi,Ming
Publication Years
2022-07-01
DOI
Source Title
ISSN
0278-6125
Volume64Pages:94-106
Abstract
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.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
National Natural Science Foundation of China[52005218];
EI Accession Number
20222612266503
EI Keywords
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
ENGINEERING
Scopus EID
2-s2.0-85132365608
Data Source
Scopus
Citation statistics
Cited Times [WOS]:3
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/343311
DepartmentDepartment of Mechanical and Energy Engineering
Affiliation
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
Recommended Citation
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.
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.
MLA
Li,Mingxing,et al."Graduation-inspired synchronization for industry 4.0 planning, scheduling, and execution".JOURNAL OF MANUFACTURING SYSTEMS 64(2022):94-106.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Li,Mingxing]'s Articles
[Li,Ming]'s Articles
[Ding,Haoran]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Li,Mingxing]'s Articles
[Li,Ming]'s Articles
[Ding,Haoran]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li,Mingxing]'s Articles
[Li,Ming]'s Articles
[Ding,Haoran]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.