A Decisional Multi-Agent Framework for Automatic Supply Chain Arrangement

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5 Citazioni (Scopus)

Abstract

In this work, a multi-agent system (MAS) for supply chain dynamic configuration 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 estimating benefits and potential risks of different strategies, analyzing and managing uncertain information about the collaborating companies. Each agent collects information 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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteNew Challenges in Distributed Information Filtering and Retrieval
Pagine215-232
Numero di pagine18
Stato di pubblicazionePublished - 2013

Serie di pubblicazioni

NomeSTUDIES IN COMPUTATIONAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • Cita questo

    Greco, L., Lo Re, G., La Cascia, M., Lo Presti, L., Gaglio, S., Augello, A., & Augello, A. (2013). A Decisional Multi-Agent Framework for Automatic Supply Chain Arrangement. In New Challenges in Distributed Information Filtering and Retrieval (pagg. 215-232). (STUDIES IN COMPUTATIONAL INTELLIGENCE).