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Applying Pareto-Optimal and JIT Techniques for Supply Chains
Yang Hang; Simon Fong; Zhuang Yan
2008-11-10
Conference NameEighth International Conference on Hybrid Intelligent Systems
Source PublicationProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
Pages308-313
Conference Date10-12 Sept. 2008
Conference PlaceBarcelona, Spain
PublisherIEEE
Abstract

A double agents-based model in a make-to-order supply chain (MTOSC), called Collaborative Single Machine Earliest/Tardiness model (CSET model) is proposed. It integrates Pareto-optimal method with Just-in-Time principle (JIT) into two intelligent agents for optimizing dynamic supply-chain formation and scheduling respectively. This model mainly focuses on improving the sequence timing factor. JIT is able to shorten the waiting time while Pareto-optimality provides a mechanism that each participant won't suffer loss. Combining the two methods, an unprecedented efficiency on supply chain (SC) can be achieved. We have compared how our proposed method performed in various MTOSC formations. The experimental results indicate that CSET model yields time improvement on the SC workflows. © 2008 IEEE.

DOIhttps://doi.org/10.1109/HIS.2008.57
URLView the original
Indexed By其他
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology, University of Macau Av. Padre Tomas Pereira,Taipa, Macau,China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yang Hang,Simon Fong,Zhuang Yan. Applying Pareto-Optimal and JIT Techniques for Supply Chains[C]:IEEE,2008:308-313.
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