• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Modeling Spare Parts Demands Forecast under Two-Dimensional Preventive Maintenance Policy
【24h】

Modeling Spare Parts Demands Forecast under Two-Dimensional Preventive Maintenance Policy

机译：二维预防性维护策略下的备件需求预测模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In maintenance practice, there is such a situation where the spare parts replacement should be carried out at the scheduling time of calendar or usage for whichever comes first. The issue of two-dimensional preventive maintenance usually was not addressed by traditional methods, and at present, few studies were focused on this very topic. Based on these considerations, this paper presented the two-dimensional preventive policy where replacements of spare parts are based on both calendar time and usage time. A novel model was developed to forecast spare parts demands under two-dimensional preventive maintenance policy, and a discrete algorithm was presented for solving the mathematical model. A case study was given to demonstrate its applicability and validity, and it was showed that the presented model can be used to forecast spare parts demands as well as to optimize spare parts and preventive maintenance jointly.
机译：在维护实践中，存在这样一种情况，即应在日历或使用日程安排的时间（以先到者为准）进行备件更换。二维预防性维护问题通常无法通过传统方法解决，并且目前很少有研究针对该主题。基于这些考虑，本文提出了一种二维预防策略，其中基于日历时间和使用时间来更换备件。建立了二维预测维修策略下的备件需求预测模型，提出了求解该数学模型的离散算法。通过案例研究证明了其适用性和有效性，并表明所提出的模型可用于预测备件需求以及联合优化备件和预防性维护。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|728241.1-728241.9|共9页
  • 作者

    Hu Qiwei; Bai Yongsheng; Zhao Jianmin; Cao Wenbin;

  • 作者单位

    Mech Engn Coll, Dept Engn Management, Shijiazhuang 050003, Peoples R China.;

    Mech Engn Coll, Dept Engn Management, Shijiazhuang 050003, Peoples R China.;

    Mech Engn Coll, Dept Engn Management, Shijiazhuang 050003, Peoples R China.;

    Mech Engn Coll, Dept Engn Management, Shijiazhuang 050003, Peoples R China.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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