Active Rescheduling for Automated Guided Vehicle Systems
نویسندگان
چکیده
Synopsis This paper examines the use of knowledge-based techniques to generate a framework for the active rescheduling of an automated guided vehicle system in a manufacturing environment. Our approach to active resecheduling uses “cues” drawn from events on the shop floor to trigger rescheduling. Simulation experiments are used to capture knowledge about the shop floor and various scheduling strategies. An extensible agent architecture is developed to facilitate active resheduling.
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