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Optimization of the joint selective maintenance and repairperson assignment problem under imperfect maintenance

机译:不完善维修条件下联合选择性维修与维修人员分配问题的优化

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This paper addresses the maintenance optimization problem in a multi-component system, carrying out several missions interspersed with scheduled finite breaks. Due to limited time, budget, or resources, maintenance actions can be only carried out on a limited set of components. The decision maker then has to decide which components to maintain to ensure a pre-specified performance level during the next mission. This is known as the selective maintenance problem. Most of the existing models in the literature usually assume that only one repair channel is available or that the assignment optimization can be done at a subsequent stage. To overcome this restrictive assumption, this paper introduces a novel integrated non-linear programming formulation of the selective maintenance problem to jointly select the components to be maintained, the maintenance levels to be carried out and the assignment of the maintenance tasks to multiple repairpersons or repair-channels. The fundamental constructs and the relevant parameters of this non-linear optimization problem are developed and discussed. Numerical experiments show the benefits of jointly selecting the components to be maintained and assigning the repair tasks to repairpersons.
机译:本文解决了多组件系统中的维护优化问题,它执行了多个任务,并有计划的有限休息。由于时间,预算或资源有限,维护操作只能在一组有限的组件上执行。然后,决策者必须决定要维护哪些组件,以确保在下一次任务期间达到预先指定的性能水平。这称为选择性维护问题。文献中大多数现有模型通常假定只有一个维修渠道可用,或者可以在后续阶段完成分配优化。为了克服这一限制性假设,本文介绍了选择性维护问题的新型集成非线性编程公式,以共同选择要维护的组件,要执行的维护级别以及将维护任务分配给多个维修人员或维修人员-频道。开发并讨论了该非线性优化问题的基本构造和相关参数。数值实验显示了共同选择要维护的组件并将维修任务分配给维修人员的好处。

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