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RESEARCH PRODUCT
A Decisional Multi-Agent Framework for Automatic Supply Chain Arrangement
Liliana Lo PrestiMarco La CasciaLuca GrecoAgnese AugelloSalvatore GaglioGiuseppe Lo Resubject
Supply chain managementKnowledge managementOperations researchComputer scienceBusiness processbusiness.industryMulti-agent systemSupply chainProbabilistic logicKnowledge baseFilter (video)Order (exchange)Multi-Agent System Supply Chain Management Bayesian Decision Networksbusinessdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 |