Multi-agent based dynamic supply chain formation in semi-monopolized circumstance

Authors:
Jiang Tian;Huaglory Tianfield
Affiliations:
School of Management, University of Electronic Science and Technology of China, Chengdu, P.R. China and Luzhou Institute of Occupational Technology, P.R. China;School of Computing and Mathematical Sciences, Glasgow Caledonian University, Glasgow, UK
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

Software agents representing supply chain partners make it possible to automate supply chain management and particularly can address the challenging problem of automating the process of dynamic supply chain formation. This paper puts forward a multi-agent negotiation mechanism for dynamic supply chain formation in semi-monopolized circumstance, i.e., China petroleum supply chain, where the conventional negotiation mechanisms are limited because they are based on the assumption of a pure market. The proposed multi-agent negotiation mechanism is algorithmized and validated, respectively.