Agile manufacturing: forging new frontiers
Agile manufacturing: forging new frontiers
A collaborative process planning and scheduling system
Advances in Engineering Software - Special issue: computer-aided process planning
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Constructing Intelligent Agents Using Java
Constructing Intelligent Agents Using Java
Robotics and Computer-Integrated Manufacturing
Design of an agent-based system for improving supply chain strategy
International Journal of Intelligent Systems Technologies and Applications
A general framework of a Reference Model for Intelligent Integrated Manufacturing Systems (REMIMS)
Engineering Applications of Artificial Intelligence
A RFID Based Agile Manufacturing Planning and Control System
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A multi-agent based agile manufacturing planning and control system
Computers and Industrial Engineering
An agent-based approach for integrated process planning and scheduling
Expert Systems with Applications: An International Journal
Applications of agent-based models for optimization problems: A literature review
Expert Systems with Applications: An International Journal
A new approach for integrating process planning with scheduling
International Journal of Computer Applications in Technology
Expert Systems with Applications: An International Journal
A closed-loop feedback simulation for RFID-based manufacturing planning and control system
International Journal of Information Technology and Management
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Due to the dynamic fluctuation of customer demands in the global market, manufacturing enterprises are facing difficulties in rapidly responding to market changes. The aim of this research is to develop a system to integrate dynamic process planning and dynamic production scheduling for the purpose of increasing the responsiveness of adaptive manufacturing systems in accommodating dynamic market changes (rapidly changing demand patterns or product varieties). The concept of Multi-Agent Systems (MAS) has been adopted in this study. All of the tasks related to process planning, optimization and scheduling in this system are carried out by autonomous agents that are capable of interacting and negotiating with each other to bid for jobs and make decisions. On the one hand, this system optimizes the utilization of manufacturing resources and on the other hand, it also provides a platform where the reconfiguration of manufacturing systems can be assessed. This system has been implemented on a Java platform and a case study is provided to elaborate on this system and evaluate its implementation.