Fuzzy modeling and optimization of imperfect maintenance
This paper considers a single repairable machine as a system which undergoes preventive maintenance periodically and is completely repaired at each random failure. Most preventive maintenance models assume that the system is restored to as good as new at each preventive maintenance and consider the restoration time as negligible. Now, considering that preventive maintenance is not always perfect (it may depend on the technicians experience, the level of complexity of the restoration, and the time to conduct preventive maintenance actions), the above assumptions may be inaccurate. For this reason, rule-based fuzzy logic is used to model these imperfections, so that the system returns to an age between as good as new and as bad as old after preventive maintenance actions. This fuzzy model is then used to optimize the period for the preventive maintenance which minimizes the expected cost rate per unit of time and the availability of the system. Explicit solutions for the optimal periodic preventive maintenance are given for the Weibull distribution case.
Laboratoire des Sciences de l Information et des Systèmes (LSIS)
Gabriel ARANGO Sophie HENNEQUIN Nidhal REZG
National Engineering school of Metz University Paul Verlaine of Metz Ile du Saulcy 57000 Metz-France
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）