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A multi-objective approach to simultaneous determination of spare part numbers and preventive replacement times

机译:同时确定备件号和预防性更换时间的多目标方法

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Different models have been proposed in the field of preventive maintenance planning fo finding optimal age replacement policies. While previous studies have focused mainly 01 classical cost objectives, this paper presents a novel multi-objective model for preventivi replacement of a part over a planning horizon. The proposed model considers differen objectives and practical issues, such as corrective replacement and its consequences, resid ual lifetime objective, and kind of productivity index. Also, the model determines numbe of spare parts, required for replacement with the defected part, to be provided at the begin ning of the planning horizon. The multi-objective model is applicable for machines o equipments which are repaired through replacing their defected part with new spare part For solving the multi-objective model, regarding to ability of ^-constraint method to gen erate different pareto-optimal solutions, a procedure is developed based on this method The procedure shows how the f:-constraint method can be used for finding preferred solu tion in situations where there is no access to decision maker. The model and solution pro cedure are illustrated by a numerical example.
机译:在预防性维护计划领域中已经提出了不同的模型,以找到最佳的年龄替换政策。尽管先前的研究主要集中在01个经典成本目标上,但本文提出了一种新颖的多目标模型,用于在计划范围内防止零件的更换。提出的模型考虑了不同的目标和实际问题,例如纠正性更换及其后果,剩余使用寿命目标以及生产率指数的种类。此外,模型确定在计划阶段开始时要提供的用缺陷零件替换所需的备件数量。多目标模型适用于通过用新的备件替换其缺陷零件而进行维修的机器或设备。为了解决多目标模型,关于^约束方法产生不同的最优解决方案的能力,一个程序基于此方法进行开发的过程该过程说明了在无法联系决策者的情况下,如何使用f:-constraint方法来查找首选解决方案。数值例子说明了模型和求解过程。

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