An efficient proactive-reactive scheduling approach to hedge against shop floor disturbances

Mohamed Ali Aloulou 1 Marie-Claude Portmann 1
1 MACSI - Industrial system modeling, analysis and operation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We consider the single machine scheduling problem with dynamic job arrival and total weighted tardiness and makespan as objective functions. The machine is subject to disruptions related to late raw material arrival and machine breakdowns. We propose a proactive-reactive approach to deal with possible perturbations. In the proactive phase, instead of providing only one schedule to the decision maker, we present a set of predictive schedules. This set is characterized by a partial order of jobs and a type of associated schedules, here semi-active schedules. This allows to dispose of some flexibility in job sequencing and flexibility in time that can be use on-line by the reactive algorithm to hedge against unforeseen disruptions. We conduct computational experiments that indicate that our approach outperforms a predictive reactive approach particularly for disruptions with low and medium amplitude. || Nous considérons un problème à une machine avec des dates de disponibilité des travaux, les critères étant la durée totale et la somme pondérée des retards. L'atelier peut subir des perturbations liées aux pannes de la machine ou à l'arrivée tardive des c
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Chapitre d'ouvrage
Graham Kendall and Edmund Burke and Sanja Petrovic. International Conference on Scheduling: theory and Applications - MISTA'03, Kluwer, 26 p, 2004
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https://hal.inria.fr/inria-00108093
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Soumis le : jeudi 19 octobre 2006 - 15:40:58
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00108093, version 1

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Mohamed Ali Aloulou, Marie-Claude Portmann. An efficient proactive-reactive scheduling approach to hedge against shop floor disturbances. Graham Kendall and Edmund Burke and Sanja Petrovic. International Conference on Scheduling: theory and Applications - MISTA'03, Kluwer, 26 p, 2004. 〈inria-00108093〉

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