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FMS scheduling as cooperative problem solving

  • Chapter 5 Artificial Intelligent And production systems
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Abstract

This paper describes an FMS scheduling method that treats an FMS as a group of problem-solving agents cooperating to perform manufacturing jobs. The main thrusts of such a method include the ability to handle the dynamically changing production conditions, its taking into account the communication method, the improved reliability, and the use of distributed control. The paper emphasizes research issues associated with various aspects of the cooperative problem-solving method, including: (1) dynamic task assignments, (2) the coordination mechanism, and (3) knowledge-based scheduling as problem solving. A simulation study which compares the performance of the cooperative problem solving approach with that of the more traditional scheduling approaches is also reported.

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  1. Decision and Information Sciences Group, Department of Business Administration, University of Illinois, 61820, Urbana-Champaign, IL, U.S.A.

    Michael J. Shaw

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  1. Michael J. Shaw
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Shaw, M.J. FMS scheduling as cooperative problem solving. Ann Oper Res 17, 323–345 (1989). https://doi.org/10.1007/BF02096612

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