Performance modeling of automated manufacturing systems
Performance modeling of automated manufacturing systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Architecture-driven modeling of real-time concurrent systems with applications in FMS
Journal of Systems and Software
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Parallel, Distributed and Multiagent Production Systems
Parallel, Distributed and Multiagent Production Systems
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Robotics and Computer-Integrated Manufacturing
Agent-based distributed manufacturing control: A state-of-the-art survey
Engineering Applications of Artificial Intelligence
Hi-index | 12.05 |
In the highly competitive market, cooperative multi-agent transaction and negotiation mechanism have become an important research topic. This paper uses multi-agent technology to construct a multi-section flexible manufacturing system (FMS) model, and utilizes simulation to build a manufacturing environment based on JADE framework for multi-agent to combine with dispatching rules, such as shortest imminent processing time (SIPT), first come first serve (FCFS) earliest due date (EDD), and Buffer Sequence. This paper finds that using multi-agent technique for multi-section FMS model can enhance the production efficiency in practice. Meanwhile, in this study, multi-agent systems combined with dynamic dispatching can be used to identify the best dispatching rules combination for achieving largest throughput, and thus it can provide the reference for production scheduling in advance.