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首页> 外文期刊>Reliability Engineering & System Safety >Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach
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Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach

机译：在运营和不完善的维护约束下生产设备的预防性再制造计划：一种基于混合遗传算法的方法

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摘要

Remanufacturing an equipment before the end of its life may generate substantial profits for both the user and the remanufacturer. However, the equipment operating conditions as well as the quality of maintenance actions undergone throughout the life of equipment largely affect the total life cycle costs from the user's perspective, and the quality of the recovered equipment from the remanufacturer's perspective. This research aims at investigating the remanufacturing opportunities of production equipment from the user's perspective, used to produce a single product in order to meet deterministic and dynamic demands over a finite horizon. Preventive maintenance actions on equipment are assumed to be imperfect. Indeed, when performed, these actions can improve the equipment to reach a state between the "As-good-as-new" level and the "As-bad-as-old" level. It is assumed that the stakeholders (the equipment's user and the original equipment manufacturer-remanufacturer) are interested by all remanufacturing opportunities. The objective of the present work is to develop an integrated approach to jointly optimize the production plan, the remanufacturing plan and the quality of spare parts used in each remanufacturing action.In order to minimize the total cost during the production horizon, a mixed-integer nonlinear program is developed. The optimization problem is solved using a hybrid genetic algorithm based on a fix-and-relax heuristic. A numerical experiment and a sensitivity analysis are presented to illustrate the applicability of the proposed approach.
机译：在设备寿命结束前进行再制造可能会给用户和再制造商带来可观的利润。但是，从用户的角度来看，设备的工作条件以及设备整个生命周期内所采取的维护措施的质量在很大程度上影响着整个生命周期的成本，而从再制造商的角度来看，则影响着回收设备的质量。这项研究旨在从用户的角度调查生产设备的再制造机会，这些生产设备用于生产单个产品，以满足有限范围内确定性和动态性的需求。设备的预防性维护措施被认为是不完善的。确实，当执行这些动作时，这些动作可以改善设备以使其达到“如新”状态和“如旧”状态之间的状态。假定利益相关者（设备的用户和原始设备制造商-再制造商）对所有再制造机会都感兴趣。当前工作的目的是开发一种集成方法，以共同优化生产计划，再制造计划和每次再制造操作中使用的备件的质量。为了使生产期间的总成本最小，混合整数开发了非线性程序。使用基于固定和放松启发式算法的混合遗传算法解决了优化问题。数值实验和敏感性分析表明了该方法的适用性。

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