AN AGENT-BASED APPROACH TO DYNAMIC SCHEDULING AND CONTROL FOR A FLEXIBLE SYSTEM

The success of a manufacturing system depends on efficacious production scheduling and control system. Current manufacturing scheduling and control algorithms lack the flexibility and reconfiguration abilities to manage disturbances when they occur. Consequently, system performance worsens quickly when the operation of the system is interrupted. The objective of this research was to examine whether the performance of a flexible assembly line system can be enhanced by implementing a radio frequency identification-based multi-agent distributed system which is design based on distributed control and scheduling system. A multi-agent manufacturing scheduling model was developed and implemented in a flexible assembly line using a simulation model by considering machine disturbance also proper ontology for communication purposed was developed. Several measures of the performance of the system were considered in the simulation analysis. The simulation results indicate that proposed system can increase the uptime productivity and production rate of an assembly manufacturing system.