An integrated model of statistical process control and condition-based maintenance for deteriorating systems. Issue 11 (1st November 2017)

• Record Type: Journal Article
• Authors: Liu, Liping; Jiang, Lining; Zhang, Ding
• Is Part Of: Journal of the Operational Research Society. Volume 68:Issue 11(2017)
• Page Start: 1452
• Page End: 1460
• Publication Date: 2017-11-01
• Subjects: statistical process control -- maintenance -- geometric process -- deteriorating system; Operations research -- Periodicals; 658.4034
• DOI: 10.1057/s41274-016-0175-2
• Languages: English
• ISSNs: 0160-5682

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 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.