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Maintenance Strategy Selection for Multi-component Systems using a combined Analytic Network Process and Cost-Risk Criticality Model

Shafiee, Mahmood, Labib, Ashraf, Maiti, Jhareswar, Starr, Andrew (2019) Maintenance Strategy Selection for Multi-component Systems using a combined Analytic Network Process and Cost-Risk Criticality Model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233 (2). pp. 88-104. ISSN 1748-0078. (doi:10.1177/1748006X17712071) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79681)

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Abstract

Selection of an appropriate maintenance strategy for multi-component systems is a very complex task due to diversity of components and their different failure modes, existence of various dependencies among components and a large number of competing criteria that need to be taken into consideration. This study presents a combined analytic network process and cost-risk criticality analysis model to select a cost-effective, low-risk maintenance strategy for different sets of components of a complex system. The proposed model consists of four maintenance alternatives (i.e. failure-based, time-based, risk-based and condition-based), among which the most appropriate strategy, on the basis of two criteria of maintenance implementation costs and failure criticality, is to be chosen. The former criterion includes the annual maintenance expenditure required for hardware, software and personnel training, while the latter criterion focuses on the capability of maintenance in reducing the failure vulnerability and enhancing the reliability and resilience. The possible dependencies among selection criteria as well as the failure interactions between components are taken into account to evaluate the maintenance alternatives. Finally, the model is applied to determine a suitable maintenance strategy for a new wind turbine configuration consisting of several mechanical, electrical and auxiliary components at the design stage. The results are compared with practices of maintenance over the first year of system operation as well as with the results obtained from an analytic hierarchy process model.

Item Type: Article
DOI/Identification number: 10.1177/1748006X17712071
Uncontrolled keywords: Maintenance strategy selection, multi-component system, analytic network process, cost-risk criticality, analytic hierarchy process, wind turbine
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 23 Jan 2020 01:03 UTC
Last Modified: 25 Jan 2020 12:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79681 (The current URI for this page, for reference purposes)
Shafiee, Mahmood: https://orcid.org/0000-0002-6122-5719
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