A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
Multiagent Collaborative Learning for Distributed Business Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A Multiagent Approach for Logistics Performance Prediction Using Historical and Context Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
An architecture for agent-based mobile Supply Chain Event Management
International Journal of Mobile Communications
Robotics and Computer-Integrated Manufacturing
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A general framework of a Reference Model for Intelligent Integrated Manufacturing Systems (REMIMS)
Engineering Applications of Artificial Intelligence
Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain
Computers in Industry
ABACO, coordination of autonomous entities
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
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Multi-agent systems (MAS) offer new perspectivescompared to conventional, centrally organisedarchitectures in the scope of supply chain management(SCM). Their structure inherently meets the requirementsof decentralised supply chains, whereas conventionalSCM systems are often restricted in terms of dynamicbehaviour, handling severe disturbances at supplier sitesas well as dealing with highly customised or complexproducts. Since necessary data are not available withinthe whole supply chain, an integrated approach forproduction planning and control taking into account allthe partners involved is not feasible. In this paper a MASarchitecture integrating various intelligent agent systemsis presented to address the problem.