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Modeling of a Multi-agent System for Coordination of Supply Chains with Complexity and Uncertainty

  • Hyung Jun Ahn
  • Sung Joo Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2891)

Abstract

In supply chain management, improving the efficiency of the overall supply chain is important. It has been found that sharing information between supply chain members can increase the efficiency of the supply chain by varying degrees in different situations. There are, however, many practical difficulties in sharing information with all the companies in a complex supply chain. This paper presents a multi-agent system for supply chain coordination where agents discover the structure of supply chains and share information on inventory levels only by local collaborations. Agents use the gathered information to estimate demands propagated from multiple markets through a complex network of companies with different lead times and market shares. The performance of the suggested system is investigated with a simulation experiment and the result is compared with an alternative strategy.

Keywords

Supply Chain Information Sharing Supply Chain Management Multiagent System Market Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Hyung Jun Ahn
    • 1
  • Sung Joo Park
    • 1
  1. 1.Graduate School Of ManagementKAISTSeoulKorea

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