华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (4): 95-99.

• 机械工程 • 上一篇    下一篇

等周期预防维修下多部件系统的备件订货策略

陈晓慧1,2  盛天文1,2  易树平2   

  1. 1. 重庆大学 机械传动国家重点实验室, 重庆 400030; 2. 重庆大学 机械工程学院, 重庆 400030
  • 收稿日期:2008-08-27 修回日期:2008-11-26 出版日期:2009-04-25 发布日期:2009-04-25
  • 通信作者: 陈晓慧(1969-),女,博士,副教授,主要从事设备维护管理、物流与供应链管理研究. E-mail:chenxiaohui@cquedu.cn
  • 作者简介:陈晓慧(1969-),女,博士,副教授,主要从事设备维护管理、物流与供应链管理研究.
  • 基金资助:

    国家自然科学基金资助项目(70301012)

Ordering Policy of Spare Parts in Multi-Unit System for Equivalent-Cycle Preventive Maintenance

Chen Xiao-hui 1.2 Sheng Tian-wen 1.2  Yi Shu-ping2   

  1. 1. The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China; 2. College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
  • Received:2008-08-27 Revised:2008-11-26 Online:2009-04-25 Published:2009-04-25
  • Contact: 陈晓慧(1969-),女,博士,副教授,主要从事设备维护管理、物流与供应链管理研究. E-mail:chenxiaohui@cquedu.cn
  • About author:陈晓慧(1969-),女,博士,副教授,主要从事设备维护管理、物流与供应链管理研究.
  • Supported by:

    国家自然科学基金资助项目(70301012)

摘要: 影响多部件系统备件订货策略的因素较多,为此将多部件系统预防维修的备件需求分为两种:随机失效部件的更换需求和预防维修时隐患部件的更换需求,在等周期预防维修下,应用概率理论,建立了指数寿命型部件的备件需求模型;在此基础上,以系统役龄内备件的订货、仓储总成本为优化目标,订货次数为优化变量,给出存在备件初始库存和订货提前期时的两种订货策略和策略模型的Visual Fortran仿真优化算法;最后结合算例,求得经济订货次数和策略以及相应的订货、仓储总成本.结果表明,备件订货策略具有周期性,考虑初始库存量、订货提前期、订货成本和备件单位仓储成本等参数的优化决策,可以为现实中备件初始库存不同的企业制订订货策略提供有效参考.

关键词: 多部件系统, 备件, 订货策略, 订货成本, 仓储成本, 等周期预防维修

Abstract:

This paper deals with the ordering policy of spare parts in multi-unit systems, which is affected by various factors. In the investigation, first, the demand of preventive maintenance for spare parts is divided into two parts, one for the units with random failures and the other for the units with hidden faults. Then, by using the probability theory, a spare part demand model of exponential life-type units is established for the equivalent-cycle preventive maintenance. Based on the proposed model, two kinds of ordering policies of spare parts, respectively with initial inventory and ordering lead time, and their Visual Fortran simulation optimization algorithm, are presented, with the total cost of order and storage in service age as the optimization goal, and with the ordering times as the optimization variable. A case study is finally performed to calculate the economical order times, the ordering policy and the corresponding total cost of order and storage. It is found that the ordering policy of spare parts is periodical, and that the optimized ordering policy, which considers the initial inventory, the ordering lead time, the ordering cost and the unit storage cost of spare parts, provides an effective reference for the enterprises with different initial inventories of spare parts to determine a suitable ordering policy.

Key words: multi-unit system, spare part, ordering policy, ordering cost, storage cost, equivalent-cycle preventive maintenance