Internetworking with TCP/IP: Principles, Protocols, and Architecture
Internetworking with TCP/IP: Principles, Protocols, and Architecture
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Dynamic manufacturing scheduling using both functional and resource related agents
Integrated Computer-Aided Engineering
Application of Distributed Techniques for Resources Modeling and Capacity Management
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
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
Design-to-fabrication automation for the cognitive machine shop
Advanced Engineering Informatics
Enabling cognitive manufacturing through automated on-machine measurement planning and feedback
Advanced Engineering Informatics
Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
Advanced Engineering Informatics
A closed-loop feedback simulation for RFID-based manufacturing planning and control system
International Journal of Information Technology and Management
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Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, referred to as a multi-agent system. The National Institute of Standards and Technology (NIST) has developed a prototype multi-agent system supporting the integration of manufacturing planning, predictive machining models, and manufacturing control. The agents within this platform have access to a knowledge base, a manufacturing resource database, a numerical control programming system, a mathematical equation solving system, and a computer-aided design system. Intelligence has been implemented within the agents in rules that are used for process planning, service selection, and job execution. The primary purposes for developing such a platform are to support the integration of predictive models, process planning, and shop floor machining activities and to demonstrate an integration framework to enable the use of machining process knowledge with higher-level manufacturing applications.