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Genetic Algorithms for the Flow Shop Scheduling Problem with availability constraints

Riad Aggoune 1 Abdel Halim Mahdi 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 : Most of the papers on scheduling take the common assumption that the machines are always available. In this paper, we consider a flow shop problem with availability constraints (FSPAC), in which unavailability times of the machines are known in advance as a preventive maintenance activity. Contrary to the majority of previous works, preemption of tasks is not allowed. Two approaches are considered to deal with the maintenance activity: either the maintenance tasks are totally fixed or the location of some of them is optimized. As the problem is NP-hard, a genetic algorithm approach is proposed to solve the makespan and the total weighted tardiness minimization problems. Numerical experiments are presented to test the efficiency of the approach.
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https://hal.inria.fr/inria-00100516
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Submitted on : Tuesday, September 26, 2006 - 2:46:24 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

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Riad Aggoune, Abdel Halim Mahdi, Marie-Claude Portmann. Genetic Algorithms for the Flow Shop Scheduling Problem with availability constraints. IEEE International Conference on Systems, Man, and Cybernetics 2001, 2001, Tucson, Arizona. ⟨inria-00100516⟩

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