Daniel Rochowiak

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The manufacturing plant is viewed as a group of interacting subsystems. The research described in this paper is aimed at characterizing the subsystem interactions such that an intelligent system can make appropriate decisions in the face of shop floor contingencies. The goal of such decision making is to insure the meeting of global production goals by(More)
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(More)
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