Modeling a sequentially inspected system prone to degradation and shocks
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 15 September 2021
Issue publication date: 17 October 2022
Abstract
Purpose
In certain environments, the system may not fail completely, but undergoes degradation, and the system productivity might decrease. Meanwhile, at the same time, the system may be vulnerable to shocks. A single-unit system prone to degradation and shocks is proposed in this study, and emphasis is placed upon determining its availability and cost rate.
Design/methodology/approach
The considered single-unit system is expected to have three states, namely, normal, degraded and failed. As the system enters the degraded state, it is said to be partially failed. The degraded state incurs higher degradation than the normal state and is more prone to shocks. Inspections are used to determine the state and failure type of the system. Inspections are predetermined to be carried out sequentially at time
Findings
Explicit results on the reliability, availability (both point and limiting availability) and long-run average cost rate (LRACR) of a sequentially inspected single-unit system prone to degradation and shocks under constant and random repair times are given. Numerical example of an oil pipeline system is taken to clarify the acquired results.
Originality/value
A sequentially inspected single-unit system prone to degradation and shock is studied unlike done previously.
Keywords
Acknowledgements
The work presented in this research paper is assisted by grants to the first author via Junior Research Fellowship (JRF) from the Council of Scientific and Industrial Research (CSIR), India. Moreover, the authors would like to thank the editor and the reviewer for their suggestions, which could help in improving the quality of the paper.
Citation
Pant, H. and Singh, S.B. (2022), "Modeling a sequentially inspected system prone to degradation and shocks", International Journal of Quality & Reliability Management, Vol. 39 No. 9, pp. 2119-2137. https://doi.org/10.1108/IJQRM-06-2021-0187
Publisher
:Emerald Publishing Limited
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