A refined order release method for achieving robustness of non-repetitive dynamic manufacturing system performance

The operational quality and reliability of a manufacturing system is greatly influenced by uncertain or variable environments, therefore robustness is one of the most important indicators for measuring the operational quality of the non-repetitive dynamic manufacturing system. Controlling the order...

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Vydáno v:Annals of operations research Ročník 311; číslo 1; s. 65 - 79
Hlavní autoři: Chen, Yarong, Zhou, Hongming, Huang, Peiyu, Chou, FuhDer, Huang, Shenquan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.04.2022
Springer
Springer Nature B.V
Témata:
Business and Management
Combinatorics
Job shops
Load
Manufacturing
Methods
Operations research
Operations Research/Decision Theory
Production management
Production planning
Reliability (Engineering)
Robustness
S.I.: Reliability Modeling with Applications Based on Big Data
Theory of Computation
Work in process
Workflow
Workloads
China
Resource variability
Robust production planning
Operational quality
Order release
Non-repetitive dynamic manufacturing
ISSN:0254-5330, 1572-9338
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Popis
Shrnutí:The operational quality and reliability of a manufacturing system is greatly influenced by uncertain or variable environments, therefore robustness is one of the most important indicators for measuring the operational quality of the non-repetitive dynamic manufacturing system. Controlling the order release to limit work in process at a stable level and protect throughput from variation is crucial to achieving robustness of manufacturing system performance. To deal with the influences of bottleneck severity and variable resource on system performance, a refined order release method is presented, which releases order periodically based on the corrected aggregate load and continuously based on the bottleneck buffer load. The operational quality of this method with the classical order release method under non-repetitive dynamic manufacturing system is compared by modeling and simulation. The results show that the refined order release method is more robust for general flow shop with higher protective capacity and resource variability.
Bibliografie:ObjectType-Article-1
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-019-03484-9