Resolution of joint maintenance/production scheduling by sequential and integrated strategies

Authors:
Fatima Benbouzid;Christophe Varnier;Nourredine Zerhouni
Affiliations:
Inslkul National d'Infomialique (INI), Alger, Algerie;Laboratoire d'Automatique de Besancon (LAB), Besancon, France 25000;Laboratoire d'Automatique de Besancon (LAB), Besancon, France 25000
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

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Abstract

The article presents a comparative study on the strategies of scheduling unites maintenance/production in the workshops of the type flow shop of permutation. Two strategies are presented: the sequential strategy which resolution is done in two stages: initially we schedule the tasks of production then integrate the tasks of maintenance, taking the scheduling of the production as a strong constraint. The integrated strategy is the representation of the tasks of maintenance and production. The objective is to optimize an objective function which takes into account the criteria of maintenance and production at the same time. The Genetic Algorithms (AGs) proved their effectiveness in the scheduling of the production. A comparison among different heuristics implemented will conclude this work.