A Multi-Agent Framework for Modeling Supply Chain Dynamics

Jayashankar M. Swaminathan, Stephen F. Smith, Norman M. Sadeh

Globalization of economy and increase in customer expectations in terms of cost and services have put a premium on effective supply chain re-engineering. As a result, decision support systems that can facilitate these efforts are in great demand. In this paper, we identify essential elements that are required for modeling supply chains and embed them in a multi-agent framework. Our framework uses simulation analysis and provides a platform for rapidly developing customized decision support tools for different supply chain problems with limited additional effort. A subset of concepts from this framework is being utilized by IBM for making supply chain re-engineering decisions.


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