Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart

扫码查看

原文链接

NETL

外文摘要：The time-based preventive maintenance， used by the integrated model of SPC and maintenance policy in most research， caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine。 We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy。 The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index， maintenance frequency， control limit， sample size and sampling interval。 A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model。

外文关键词：

Maintenance engineeringControl chartsProcess controlQuality controlInspectionNumerical models

作者：

Yaping Li、Ershun Pan、Zhen Chen

展开 >

作者单位：

College of Economics and Management, Nanjing Forestry University Nanjing, China

Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China

会议名称：

IEEE International Conference on Grey Systems and Intelligent Services

会议地点：

Stockholm(SE)

会议母体文献：

2017 IEEE International Conference on Grey Systems and Intelligent Services

页码：

328-337

出版时间：

2017

DOI：

10.1109/GSIS.2017.8077727