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Purpose: This paper deals with the optimization of the condition based maintenance (CBM) applied on manufacturing multi-equipment system under cost and benefit criteria. Design/methodology/approach: The system is modeled using Discrete Event Simulation (DES) and optimized by means of the application of a Multi-Objective Evolutionary Algorithm (MOEA). Findings: Solution for the joint optimization of the condition based maintenance model applied on several equipment has been obtained. Research limitations/implications: The developed approach has been successfully applied to the optimization of condition based maintenance activities of a hubcap production system composed by three plastic injection machines and a painting station, for management decision support. Originality/value: This paper provides a solution for the joint optimization of CBM strategies applied on several equipments.
Wydawca
Rocznik
Tom
Strony
188--193
Opis fizyczny
Bibliogr. 4 poz., rys., tab.
Twórcy
autor
- Institute of Manufacturing System, Environmental Technology and Quality Management, Faculty of Mechanical Engineering, STU Bratislava, Nám. slobody 17, 812 43 Bratislava 1, Slovak Republic
autor
- Industrial Management Department, Mondragon Unibertsitatea University, Loramendi 4, 20500 Mondragon, Gipuzkoa, Spain
autor
- Institute of Manufacturing System, Environmental Technology and Quality Management, Faculty of Mechanical Engineering, STU Bratislava, Nám. slobody 17, 812 43 Bratislava 1, Slovak Republic
autor
- Industrial Management Department, Mondragon Unibertsitatea University, Loramendi 4, 20500 Mondragon, Gipuzkoa, Spain
Bibliografia
- [1] S. Martorell, A. Sánchez, V. Serradell, Age-dependent reliability model considering effects of maintenance and working conditions, Reliability Engineering and Systems Safety 64 (1999) 19-31.
- [2] W. Li, H. Pham, An inspection-maintenance model for systems with multiple competing processes, IEEE Transactions on Reliability 54/2 (2005) 318-327.
- [3] K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitiste multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation 6/2 (2002) 182197.
- [4] S. Martorell, A. Sánchez, S. Carlos, V. Serradell, Alternatives and challenges in optimizing industrial safety using genetic algorithms, Reliability Engineering and System Safety 86/1 (2004) 25-38.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2ae2f0f1-358f-46fe-804b-08a4607c0a5f