Optimization of preventive maintenance through a combined maintenance-production simulation model

被引:33
|
作者
Roux, O. [1 ]
Duvivier, D. [2 ,3 ]
Quesnel, G. [4 ]
Ramat, E. [2 ,3 ,4 ]
机构
[1] Univ Mons, Louvain Sch Management & Cathol, B-7000 Mons, Belgium
[2] Univ Lille Nord France, F-59000 Lille, France
[3] Univ Littoral Cote dOpale, LISIC, F-62228 Calais, France
[4] INRA, UR875 Biomet & Intelligence Artificielle, F-31326 Castanet Tolosan, France
关键词
Metaheuristics; Simulation; Decision-making; Multimodeling; Petri-nets; Maintenance; SYSTEMS; POLICIES;
D O I
10.1016/j.ijpe.2010.11.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Maintenance problems are crucial aspect of nowadays industrial problems. However, the quest of the efficient periodicity of maintenance for all components of a system is far from an easy task to accomplish when considering all the antagonistic criteria of the maintenance and production views of a production system. Thus, the objective is to simultaneously ensure a low frequency of failures by an efficient periodic preventive maintenance and minimize the unavailability of the system due to preventive maintenance. This implies a minimum impact on the production. In this paper, several tools are combined to collaborate in order to optimize multi-component preventive maintenance problems. The structure of the maintenance-production system is modeled thanks to a framework inspired by our previous research projects. The dynamic aspects are modeled by a combination of timed petri-nets and PDEVS models and implemented in our VLE simulator. The parameters of the resulting simulation model are optimized via a Nelder-Mead (Simplex) Method. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:3 / 12
页数:10
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