UM  > 科技學院  > 電腦及資訊科學系
A Double Agent-Based Framework of CSET Negotiation Model for Optimal Supply Chain Formation
Yang Hang; Simon Fong; Zhuang Yan
2008-12-01
Conference NameThe 5th International Conference on Information Technology and Applications (ICITA 2008)
Source Publication5th International Conference on Information Technology and Applications, ICITA 2008
Pages15-20
Conference Date23-26 June 2008
Conference PlaceCairns, Queensland, Australia
Abstract

In an effort to compose an optimal supply chain, this paper tries to bring forward a new double agent-based Single Machine Earliness/Tardiness (SET) model. It includes the Sub-agent, which is designed for fairly coordinating and distributing job orders at the mid-stream levels. Extending from the precedent SET model, Collaborative-SET (CSET) has a coordinating Parent-agent, which is responsible for optimizing the information flow and scheduling of the whole supply chain. This is done by coordinating the information flow at the Sub-agents in each stream. In a long run, this new model makes a complex dynamic supply chain more efficient, and improves response time of the whole supply chain. A stimulator that implements the algorithms in this paper is programmed, in order to calculate the amount of information transfer, time and cost incurred between SET model and CSET model. The results generally indicate that the more streams a supply chain has, the better the performance gain is yielded.

KeywordAutomated Negotiation Agent Dynamic Supply Chain Set Model
URLView the original
Language英语
Fulltext Access
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Yang Hang,Simon Fong,Zhuang Yan. A Double Agent-Based Framework of CSET Negotiation Model for Optimal Supply Chain Formation[C],2008:15-20.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang Hang]'s Articles
[Simon Fong]'s Articles
[Zhuang Yan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang Hang]'s Articles
[Simon Fong]'s Articles
[Zhuang Yan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang Hang]'s Articles
[Simon Fong]'s Articles
[Zhuang Yan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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