Abstract
Shop floor scheduling remains as one of the hardest and most researched problems in management science. Heuristic approaches to solving such problems are widely acknowledged as a feasible way to proceed. This paper describes a shop floor problem at a real manufacturing facility, where a knowledge-based system was installed and used for supporting decisions related to scheduling. The specific problem dealt with scheduling the setup changes on machines that are at the final stage of a multi-stage processing sequence.
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References
J. H. May and L. G. Vargas, 1996, SIMPSON: An Intelligent Assistant for Short-term Manufacturing Scheduling, European Journal of Operational Research, 88, 269–286.
S.A. Slotnick, 1991, MULTEX: The Short-term Expert Scheduling System, Northeast D.S.I. 1991 Proceedings, 375–377.
J.H. May and L.G. Vargas, 1991, MULTEX: A Multiple Expert/DSS System for Shop floor Scheduling, Northeast D.S.I. 1991 Proceedings, 372–374.
R. Dé, 1993 Empirical Estimation of Operational Planning Horizons: A Study in a Manufacturing Domain, University of Pittsburgh.
J. Liebowitz and P. Lightfoot, 1993, Scheduling Approaches in Expert Systems: A Study of their Applicability, Expert Systems With Applications: An International Journal, 6–3, 231–235.
J.H. May, T.E. Morton, D. Pentico, and L.G. Vargas, 1992, MULTEX:A Multiple Expert/DSS System for Shop Floor Scheduling — One year later, Northeast DSI 1992 Proceedings, 356–358.
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© 1998 Springer Science+Business Media Dordrecht
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Dè, R. (1998). An Implementation of a System Using Heuristics to Support Decisions about Shop Floor Setup Changes. In: Yu, G. (eds) Industrial Applications of Combinatorial Optimization. Applied Optimization, vol 16. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2876-7_9
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DOI: https://doi.org/10.1007/978-1-4757-2876-7_9
Publisher Name: Springer, Boston, MA
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