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

Risultato della ricerca: Other

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.
Lingua originaleEnglish
Pagine1-12
Numero di pagine12
Stato di pubblicazionePublished - 2011

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Decision support systems
Supply chains
Multi agent systems
Brain
Industry

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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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.",
author = "Luca Greco and Salvatore Gaglio and {Lo Re}, Giuseppe and {Lo Presti}, Liliana and {La Cascia}, Marco and Agnese Augello",
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T1 - A Multi-Agent Decision Support System for Dynamic Supply Chain Organization

AU - Greco, Luca

AU - Gaglio, Salvatore

AU - Lo Re, Giuseppe

AU - Lo Presti, Liliana

AU - La Cascia, Marco

AU - Augello, Agnese

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/74048

UR - http://ceur-ws.org/Vol-771/

M3 - Other

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