An integrated model of statistical process control and condition-based maintenance for deteriorating systems

Liping Liu (), Lining Jiang and Ding Zhang
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Liping Liu: Nanjing Normal University
Lining Jiang: School of Management Nanjing University of Posts and Telecommunications
Ding Zhang: State University of New York

Journal of the Operational Research Society, 2017, vol. 68, issue 11, 1452-1460

Abstract: Abstract This paper proposes an integrated model of statistical process control and condition-based maintenance for a deteriorating system. We study a system that will not be as good as new after a preventive maintenance and can only survive a certain number of preventive maintenances. The system is modeled as a geometric process and monitored by an $$\bar{X}$$ X ¯ control chart. By analyzing the evolution of the system in different scenarios, we establish a mathematical model to minimize the expected cost during the expected cycle time that can be used to make an optimal replacement policy in applications. A computational scheme is presented and illustrated through a numerical example. A sensitivity analysis is performed to investigate the effect of statistical constraint, mean shift, and the parameters of the system.

Keywords: statistical process control; maintenance; geometric process; deteriorating system (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1057/s41274-016-0175-2

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