Simulation based optimization approach to solve a maintenance process problem

Author

Lahiani, Nouha ; El Mhamedi, Abderrahman ; Hani, Yasmina ; Triki, Abdelfateh

Author_Institution

Lab. LISMMA-IUT De Montreuil, Paris VIII Univ., Montreuil, France

fYear

2014

fDate

3-5 Nov. 2014

Firstpage

146

Lastpage

151

Abstract

In this paper, a simulation based optimization method is introduced. A combined simulation and Non Dominated Sorting Genetic Algorithm-II (NSGA-II) optimization engine is developed to solve a maintenance process problem for an industrial case. The coupling is used in order to optimize the performances of the simulation model representing a maintenance process by choosing the best queues´ scheduling policy. Our simulation model is performed using FLEXSIM software. NSGA-II model is implemented using C# language, because it ensures exchanges between FLEXSIM software and Ms Excel. The NSGA-II and simulation models operate in parallel over time with interactions. The aim of this paper is to propose an original approach for reorganizing the maintenance process using simulation based optimization approaches.

Keywords

genetic algorithms; maintenance engineering; production engineering computing; C# language; FLEXSIM software; Ms Excel; NSGA-II optimization engine; maintenance process problem; nondominated sorting genetic algorithm-II; queues scheduling policy; simulation based optimization; Companies; Maintenance engineering; Optimization; Planning; Qualifications; Sociology; Statistics; Case study; Maintenance Process; Planning Problem; Simulation based optimizati;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Decision and Information Technologies (CoDIT), 2014 International Conference on

Conference_Location

Metz

Type

conf

DOI

10.1109/CoDIT.2014.6996884

Filename

6996884