Hierarchy in distributed shop floor control
Computers in Industry - Special issue on intelligent manufacturing systems
An experimental benchmarking of two multi-agent architectures for production scheduling and control
Computers in Industry - Special issue on intelligent manufacturing systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Architecture of a discrete-event and agent-based crisis response simulation model
International Journal of Advanced Intelligence Paradigms
A classification scheme for agent based approaches to dynamic optimization
Artificial Intelligence Review
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A model combining Discrete Event System (DES) and Multi-Agent System (MAS) is proposed to simulate a real-time job shop so that it can work as a test bed to systematically study the performance of control rules and algorithms in dynamic job shop scheduling. A definition of a generic job shop is given considering dynamic events, shop floor layout and the Material Handling System (MHS). It is first simulated as a DES and then implemented as an MAS so that data recording and analysis can be naturally distributed to the most related entities and events can be executed simultaneously at different locations. The state changes of agents and the communication among them are illustrated with state charts and sequential diagrams in Unified Modelling Language (UML). The proposed model is validated with a case study through statistical analysis and comparison with reported works.