Joint integrated maintenance-quality policy with reworking activity

Amal Gouiaa-Mtibaa, S. Dellagi, Z. Achour, Walid Erray
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引用次数: 2

Abstract

This paper investigates integrated models joining Non Quality effect and preventive maintenance (PM) policy. We consider a single machine subject to random failure rate and producing progressive deteriorating products. A preventive maintenance (PM) strategy with minimal repair is applied with non negligible durations of maintenance tasks. This study consists in developing analytical models in order to determine the optimal integrated maintenance plan taking into account the impact of non-conforming products. Two strategies are developed. The first strategy consists on selling products at a discount price due to the loss of quality caused by the machine degradation. The aim of this strategy is to determine the optimal number of batches produced N* before applying each preventive maintenance action maximizing the total profit (PT) per time unit. For the second strategy, we propose a rework activity for deteriorated products in order to improve their quality condition to be sold at the best price Pmax. For this second approach, our objective is to determine the number of batches sold after a reworking task N1 and the number of batches sold at a discount price N2. A mathematical model is developed to find simultaneously the optimal value of the two decision variables N1* and N2* which maximize the total net profit (PNT) per time unit for a finite horizon H taking into account rework and setup costs. The preventive maintenance action will be undertaking after each N1+N2 batches. Numerical examples are presented in order to illustrate proposed models and a sensitivity study is used to evaluate the influence of model parameters.
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与返工活动联合集成维护质量政策
本文研究了非质量效应与预防性维修(PM)策略的集成模型。我们考虑一台机器受随机故障率和生产逐步恶化的产品。预防性维护(PM)策略采用最少的维修和不可忽略的维护任务的持续时间。本研究包括建立分析模型,以确定考虑不合格品影响的最优综合维修计划。制定了两种策略。第一种策略是由于机器退化造成的质量损失,以折扣价销售产品。该策略的目的是在应用每个预防性维护措施之前确定生产N*的最优批次数,以使每个时间单位的总利润(PT)最大化。对于第二种策略,我们提出对变质产品进行返工活动,以改善其质量状况,以最优价格Pmax销售。对于第二种方法,我们的目标是确定在返工任务N1之后销售的批次数以及以折扣价N2销售的批次数。建立了一个数学模型,在考虑返工和设置成本的情况下,同时求出两个决策变量N1*和N2*的最优值,使每时间单位的总净利润(PNT)在有限水平H下最大化。在每批N1+N2后进行预防性维护。为了说明所提出的模型,给出了数值算例,并利用灵敏度研究来评估模型参数的影响。
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