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Autore principale: Luis J. Zaballos
Natura: Artículo científico
Lingua:en
Pubblicazione: Asociación Española para la Inteligencia Artificial 2005
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Accesso online:https://www.redalyc.org/articulo.oa?id=92526906
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Sommario:
  • A Constraint Programming Approach to FMS Scheduling. Consideration of Storage and Transportation Resources Luis J. Zaballos Gabriela P. Henning Ingeniería Scheduling Resource Limitations Constraint satisfaction Flexible manufacturing systems Flexible manufacturing systems (FMS) require efficient scheduling strategies to achieve their principal advantage of being able to combine high flexibility with high productivity. This paper presents a novel constraint programming (CP) formulation addressing the FMS scheduling problem for systems that work under the operational policy of part movement. The formulation addresses some critical features found in these problems and proposes a search strategy to speed/up the solution process. This work also presents an ad-hoc procedure, based on different initialisation points, that aims at making problems tractable when their size is big enough to make difficult the attainment of good quality solutions in a reasonable CPU time. 2005 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92526906 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.26 Vol.9