首页> 外文期刊>Reliability Engineering & System Safety >Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance
【24h】

Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance

机译:整合的维护质量政策和改进的不完善的预防性维护下的返工流程

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

We consider a manufacturing system subject to an increasing random failure rate and producing conforming and non-conforming items. Two types of non-defective products are considered: high quality items noted first-rate products and substandard quality items noted second-rate products. Rework activities are proposed for second-rate and non-conforming products in order to improve their quality conditions and sell them at the best price, In order to slow down the degradation process of the manufacturing system and reduce its impact on the quality of output products, a new improved imperfect preventive maintenance (PM) policy with minimal repair at failures is established. It consists in performing a given number of imperfect PM actions before undertaking a perfect one. This study consists in developing an analytical model to determine simultaneously the optimal values of two decision variables: the number of produced batches before performing the imperfect PM, and the number of imperfect PM actions to undertake before applying a perfect one by maximizing the total expected profit taking into account the selling price and production, maintenance and reworking costs. Numerical examples and a sensitivity study are presented to illustrate the use of the proposed model and the obtained results. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们认为制造系统的随机故障率不断提高,并且生产合格和不合格的产品。考虑了两种类型的无缺陷产品:优质产品为一流产品,次品质量为第二级产品。提议对二等和不合格产品进行返工活动,以改善其质量状况并以最优惠的价格出售它们,以减缓制造系统的退化过程并减少其对产出产品质量的影响,建立了一种新的改进的不完善的预防性维护(PM)策略,该策略在故障发生时的修复最少。它包括在执行完美操作之前执行给定数量的不完美PM操作。这项研究包括开发一个分析模型,以同时确定两个决策变量的最优值:执行不完全PM之前生产的批次数量,以及通过最大化总预期利润来应用一个完美PM之前要执行的不完全PM动作数量。考虑到售价以及生产,维护和返工成本。数值算例和敏感性研究表明了所提出模型的使用和所得结果。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号