Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An Agent-Based Approach for Manufacturing Enterprise Integration and Supply Chain Management
PROLAMAT '98 Proceedings of the Tenth International IFIP WG5.2/WG5.3 Conference on Globalization of Manufacturing in the Digital Communications Era of the 21st Century: Innovation, Agility, and the Virtual Enterprise
Towards a Unified Agent Architecture that Combines Rationality with Reactivity
LID '96 Proceedings of the International Workshop on Logic in Databases
Modeling and specifications of dynamic agents in fractal manufacturing systems
Computers in Industry
An agent-based approach for e-manufacturing and supply chain integration
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Agent-driven distributed-manufacturing model for mass customisation
Integrated Computer-Aided Engineering
An iterative agent bidding mechanism for responsive manufacturing
Engineering Applications of Artificial Intelligence
Dynamically Integrated Manufacturing Systems (DIMS)—A Multiagent Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An intelligent supervision system for open loop controlled processes
Journal of Intelligent Manufacturing
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Fluctuations in demand patterns and products' mixes, driven by continuous changes in customer requirements, are inducing significant changes on the operations of manufacturing organisations. How to respond to such changes rapidly and at minimum cost constitutes a major challenge for manufacturers. The DIMS project (Dynamically Integrated Manufacturing Systems) has developed an agent-based approach that enables manufacturing systems to be modelled using multi-agent systems such that optimal and timely responses to changes are generated from the interactions taking place within the multi-agents systems. This approach also incorporates a distributed discrete event simulation mechanism that enables `what-if' system configurations that have been generated through agent interactions to be evaluated dynamically for system restructure. This paper presents the approach with particular focus on the distributed simulation mechanism.