Delay-time modelling of a critical system subject to random inspections

Scarf, PA ORCID: https://orcid.org/0000-0001-5623-906X, Cavalcante, CAV and Lopes, RS 2019, 'Delay-time modelling of a critical system subject to random inspections' , European Journal of Operational Research, 278 (3) , pp. 772-782.

[img] PDF - Accepted Version
Restricted to Repository staff only until 2 May 2021.

Download (700kB) | Request a copy

Abstract

We model the inspection-maintenance of a critical system in which the execution of inspections is random. The models we develop are interesting because they mimic realities in which production is prioritised over maintenance, so that inspections might be impeded or they might be opportunistic. Random maintenance has been modelled by others but there is little in the literature that relates to inspection of a critical system. We suppose that the critical system can be good, defective or failed, and that failure impacts on production, so that a failure is immediately revealed, but a defect does not. A defect, if revealed at inspection, is a trigger for replacement. We compare the cost and reliability of random inspections with scheduled periodic inspections and discuss the implications for practice. Our results indicate that inspections that are performed opportunistically rather than scheduled periodically may offer an economic advantage provided opportunities are sufficiently frequent and convenient. A hybrid inspection and replacement policy, with inspections subject to impediments, is robust to departure from its inspection schedule.

Keywords: Maintenance; reliability; random inspection; production; quality

Item Type: Article
Schools: Schools > Salford Business School > Salford Business School Research Centre
Journal or Publication Title: European Journal of Operational Research
Publisher: Elsevier
ISSN: 0377-2217
Related URLs:
Depositing User: Dr Philip Scarf
Date Deposited: 25 Apr 2019 10:41
Last Modified: 02 Dec 2019 10:25
URI: http://usir.salford.ac.uk/id/eprint/51171

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year