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SALVATORE GAGLIO

A Multi-Agent Decision Support System for Dynamic Supply Chain Organization

  • Autori: LO PRESTI, L.; Greco, L.; Augello, A.; LO RE, G.; LA CASCIA, M.; Gaglio, S.
  • Anno di pubblicazione: 2011
  • Tipologia: Proceedings (TIPOLOGIA NON ATTIVA)
  • OA Link: http://hdl.handle.net/10447/74048

Abstract

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.