Multiobjective Optimization Approach to Solve a Maintenance Process Problem

Nouha Lahiani (1) , Yasmina Hani (2) , Abdelfattah Triki , Abderrahman El Mhamedi (2)

1 LISMMA - Laboratoire d'Ingénierie des Systèmes Mécaniques et des MAtériaux
2 QUARTZ - Laboratoire QUARTZ

In this paper, a multiobjective optimization study of maintenance process is developed. The considered problem is inspired by a real case. Given the complexity of the industrial case, we combined a discrete event simulation model with an optimization engine based on non-dominated sorting genetic algorithm II (NSGA-II). The coupling is used in order to optimize the performances of the simulation model by choosing the best queues’ scheduling policy. The issue is to reorganize the maintenance process under operator’s qualifications and interventions emergency degree. The NSGA-II engine and simulation model operate in parallel over time with interactions. After computation, we obtain high quality solutions in very short commuting time.

Mots clés: Multiobjective Optimization; Maintenance Process; Case Study.

Domaines: Sciences de l'ingénieur [physics]

Nouha Lahiani, Yasmina Hani, Abdelfattah Triki, Abderrahman El Mhamedi. Multiobjective Optimization Approach to Solve a Maintenance Process Problem. Stochastic Modeling Techniques and Data Analysis International Conference, Jul 2014, Lisbon Portugal. ⟨hal-01322493⟩