A block-based inspection policy for a multi-component system subject to two failure modes with stochastic dependence. Issue 2 (12th February 2019)

• Record Type: Journal Article
• Authors: Moakedi, Hamid; Seyedhosseini, Mohammad Seved; Shahanaghi, Kamran
• Is Part Of: Journal of quality in maintenance engineering. Volume 25:Issue 2(2019)
• Page Start: 314
• Page End: 339
• Publication Date: 2019-02-12
• Subjects: Inspection -- Maintenance policy; Plant maintenance -- Quality control -- Periodicals; Total quality management -- Periodicals; Total productive maintenance -- Periodicals; 658.202
• DOI: 10.1108/JQME-05-2018-0044
• Languages: English
• ISSNs: 1355-2511

Abstract

Abstract : Purpose: The purpose of this paper is to model a block-based inspection policy for a multi-component system with stochastic dependence. Some components may develop a hidden failure, an occurrence of which neither stops the system nor accelerates the other components' deterioration. On the other hand, other components may experience three states: healthy, defective and revealed failures. Any revealed failure of each component not only stops the system but also generates a shock to all the other ones, which increases their occurrence rate of hidden, defect and revealed failures. Design/methodology/approach: A block-based inspection policy is considered to take advantage of economic dependence as follows. In addition to the periodic inspections, the system is also inspected at revealed failures' moments of each component to detect and fix both defects and hidden failures on all the other components. To calculate the expected total cost, the recursive equations for the required expected values is first mathematically derived. Then, due to computational complexity, an efficient Monte Carlo simulation algorithm is designed to calculate the expected values. Findings: The proposed approach is illustrated through a numerical example, and the optimal periodic inspection interval over a finite time horizon is obtained via minimization of the expected total cost. Finally, the correctness of the results is validated by conducting sensitivity analysis. Originality/value: Planning an appropriate inspection policy over a finite time horizon becomes more complicated when considering a multi-component system because different units may experience different failure modes with stochastic dependence.