Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Modeling and specifications of dynamic agents in fractal manufacturing systems
Computers in Industry
An integrated agent-based approach for responsive control of manufacturing resources
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
A survey of dynamic scheduling in manufacturing systems
Journal of Scheduling
A multi-agent based agile manufacturing planning and control system
Computers and Industrial Engineering
An iterative agent bidding mechanism for responsive manufacturing
Engineering Applications of Artificial Intelligence
Manufacturing planning and predictive process model integration using software agents
Advanced Engineering Informatics
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Nowadays, the performance of customer service level in manufacturing industries highly depends on an effective manufacturing planning and control system MPCS. An agent-based manufacturing planning and control system AMPCS allows negotiation-based decision-making to achieve the global objective. With the advantage of radio frequency identification RFID technology, agents in AMPCS may effectively control and identify the production progress of all raw materials, work-in-progress WIP, and products across the entire manufacturing supply chain. However, the production schedule may become inefficient or even infeasible due to uncertainties, such as machine breakdowns, processing time delays, rush order, quality problems, and unavailable material. Therefore, this research proposes a closed-loop feedback simulation CLFS approach based on RFID-enabled real-time manufacturing information for scheduling and rescheduling in an agent-based manufacturing system in response to the dynamically changing manufacturing activities and exceptions. From the simulation experiment, the scheduling results proposed by RFID-based MPCS combined with CLFS performed much better than the results obtained from previous researches.