Multi-agent Collaboration Engine for Supply Chain Management

To improve the performance of Supply chain decisions (SCM) , agents technology is slowly becoming the best alternative . In general , most of the components in SCM work in isolation and achieving coordination among SCM partners turns out to be a difficult proposition . But in a multi-agent system (MAS) , an agent while making a local optimal decision , it sees how it will effect the other agents and in case required it coordinates with other agents to workout for a new alternative . In SCM , what is required is how to improve the performance . Today SCM needs to work in coordination with various like minded organizations to produce and supply to multiple market . In such circumstance MAS ,with beneficial features like autonomous , collaborative , coordinate and intelligence with ability to work in a distributed environment provides a best platform to make SCM performing at its best . The project aims to propose an integrated frame work based on multi-agent collaboration and case-based reasoning that can resolve various collaboration issue in supply chain. To show the frame work’s feasibility, we implement a prototype system(multi-agent collaboration Engine supply chain management) MACESCM.MACE-SCM provides more flexible and extensible solution to help address emerging uncertainties KeywordsMulti-agent; Case-Based Reasoning; RDQL (Retrieval Data Query Language);