Scheduling Problems with Equipment Health Index
Louise Penz  1@  , Stéphane Dauzere-Peres  2@  , Margaux Nattaf  3@  
1 : Equipe Réseaux dínteractions et Intelligence Collective
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 : Département Sciences de la Fabrication et Logistique
Ecole Nationale Supérieure des Mines de Saint-Etienne, CMP-GC
3 : Laboratoire des sciences pour la conception, lóptimisation et la production
Institut polytechnique de Grenoble - Grenoble Institute of Technology, Université Grenoble Alpes, Centre National de la Recherche Scientifique : UMR5272

Our problem considers a single machine with a health index on which jobs of different families are scheduled to minimize the sum of completion times and maintenance operations are scheduled to restore the health of the machine. The health of the machine decreases when jobs are processed. Moreover, to be scheduled, each job requires the machine to have a minimum health index which depends on the job family.
Two cases are studied: (1) The daily case with a single flexible maintenance operation, and (2) The weekly case with two flexible maintenance operations. The second case is shown to be NP-complete. Two Mixed Integer Linear Programming models are presented for each case. The first model uses ``classical'' positional variables, while the second model improves the first model by using the notion of master sequence. Different valid inequalities are also proposed. Computational experiments show that the second model is much more efficient than the first model when solved with a standard solver, and the impact of the valid inequalities is discussed.


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