首页> 外文会议>Reliability and Maintainability Symposium (RAMS), 2010 >Spare part inventory control driven by condition based maintenance
【24h】

Spare part inventory control driven by condition based maintenance

机译:基于状态维护的备件库存控制

获取原文

摘要

The ability to predict and prevent equipment failures is essential for managing a manufacturing process. Once failure symptoms are detected, timely maintenance needs to be performed with the support of required spare parts. However, the availability of spare parts often becomes the bottleneck of process throughput, and sometimes expensive emergency orders of spare parts have to be placed to meet a production due date. This paper addresses a joint production and spare part inventory control strategy driven by condition based maintenance (CBM) for a piece of manufacturing equipment with a critical unit. Specifically, the amount of degradation of the unit is monitored continuously during operation and used to drive replacement actions and spare part inventory control under both production lot size and due date constraints. A degradation limit maintenance policy and a base-stock spare part inventory control policy are integrated to manage the manufacturing process. The objective is to ascertain the service level for spare parts while minimizing the total operating cost. To determine the optimal base-stock level of spare parts and maintenance threshold, a two-stage approach using constrained least square approximation and simulation-based optimization techniques is developed. An automotive engine manufacturing process is provided to demonstrate the use of the proposed decision making strategy.
机译:预测和预防设备故障的能力对于管理制造过程至关重要。一旦检测到故障症状,就需要在所需备件的支持下进行及时维护。但是,备件的可用性通常成为过程吞吐量的瓶颈,有时必须下达昂贵的备件紧急订单才能满足生产到期日期。本文讨论了由具有关键单元的制造设备进行的基于状态维护(CBM)驱动的联合生产和备件库存控制策略。具体来说,在生产过程中连续监控设备的退化量,并在生产批次大小和到期日约束下将其用于驱动替换动作和备件库存控制。集成了降级限制维护策略和基本备件备件库存控制策略来管理制造过程。目的是确定备件的服务水平,同时最大程度地降低总运营成本。为了确定最佳的备件基本库存水平和维护阈值,开发了一种采用约束最小二乘近似和基于仿真的优化技术的两阶段方法。提供了一种汽车发动机制造过程,以演示所提出的决策策略的使用。

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