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RESEARCH PRODUCT

A multi-agent decision support system for dynamic supply chain organization

L. GrecoL. Lo PrestiA. AugelloG. Lo ReMarco La CasciaS. Gaglio

subject

Multi-Agent System Supply Chain

description

In this work, a multi-agent system (MAS) for supply chain dynamic con- figuration is proposed. The brain of each agent is composed of a Bayesian Decision Network (BDN); this choice allows the agent for taking the best decisions esti- mating benefits and potential risks of different strategies, analyzing and managing uncertain information about the collaborating companies. Each agent collects infor- mation about customer’s orders and current market prices, and analyzes previous experiences of collaborations with trading partners. The agent therefore performs a probabilistic inferential reasoning to filter information modeled in its knowledge base in order to achieve the best performance in the supply chain organization.

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