Dynamic scheduling of FMS using a real-time genetic algorithm

Andrea Rossi and Gino Dini

International Journal of Production Research, 2000, vol. 38, issue 1, 1-20

Abstract: The paper presents a genetic algorithm capable of generating optimised production plans in flexible manufacturing systems. The ability of the system to generate alternative plans following part-flow changes and unforeseen situations is particularly stressed (dynamic scheduling). Two contrasting objectives represented by the reduction of machine idle-times, thanks to dynamic scheduling computation and the reduction of the makespan, are taken into account by the proposed system. The key-point is the real-time response obtained by an optimised evolutionary strategy capable of minimising the number of genetic operations needed to reach the optimal schedule in complex manufacturing systems.

Date: 2000
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DOI: 10.1080/002075400189545

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