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A Multi-Objective Approach to Optimize a Periodic Maintenance Policy

机译：优化定期维护策略的多目标方法

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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 e-constraint methods. To explain the whole procedure a numerical application related to a case study is given.
机译：本文提出了一种多目标方法，以在有限的时间范围内找到可修复且随机恶化的多组件系统的最佳定期维护策略。解决的问题涉及在每次计划的和定期的检查中确定要更换的系统元素，以确保同时将预期的总维护成本和预期的全局系统不可用时间最小化。假定通过最少的修复操作来修复故障的系统元素，以便快速恢复系统。建立了非线性整数数学规划模型来解决已处理的多目标问题，同时用字典目标规划和电子约束方法描述了帕累托最优边界。为了解释整个过程，给出了与案例研究相关的数值应用。

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