A Multi-Objective Approach to Optimize a Periodic Maintenance Policy

被引：0
|
作者：
Certa, Antonella [1 ]
Enea, Mario [1 ]
Galante, Giacomo [1 ]
Lupo, Toni [1 ]
机构：
[1] Univ Palermo, Dipartimento Ingn Chim, I-90133 Palermo, Italy
来源：
PROCEEDINGS 18TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY & QUALITY IN DESIGN | 2012年
关键词：
Periodic maintenance; multi-component system; multi-objective optimization; non-homogeneous Poisson Process; PREVENTIVE MAINTENANCE; AVAILABILITY; COST;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The present paper proposes a multi-objective approach to find an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical inspections ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that the failed system elements are repaired by means of minimal repair actions in order to rapidly restore the system. A non-linear integer mathematical programming model is developed to solve the treated multi-objective problem while the Pareto optimal frontier is described by the Lexicographic Goal Programming and the epsilon-constraint methods. To explain the whole procedure a numerical application related to a case study is given.
引用
收藏
页码：379 / 383
页数：5
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