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Importance Measure-based Resilience Management: Review, Methodology and Perspectives on Maintenance

Dui, Hongyan, Liu, Meng, Song, Jiayin, Wu, Shaomin (2023) Importance Measure-based Resilience Management: Review, Methodology and Perspectives on Maintenance. Reliability Engineering and System Safety, . Article Number 109383. ISSN 0951-8320. (doi:10.1016/j.ress.2023.109383) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:101296)

Abstract

In recent years, frequent natural or man-made disturbances have accelerated the study of resilience management. As an important source of system resilience, maintenance activities need to be managed effectively. Meanwhile, importance measures have become an effective tool in maintenance management. However, there are still some challenges in the studies of importance measure-based maintenance management. A comprehensive review and discussion can serve as a useful reference for the future research. This paper firstly reviews the definitions of importance measures, maintenance, and resilience and then examines their interrelationships. It then analyses the roles of importance measures in maintenance management for resilience improvement. Finally, it proposes future research directions

Item Type: Article
DOI/Identification number: 10.1016/j.ress.2023.109383
Uncontrolled keywords: Importance measure; Maintenance management; Performance; Resilience
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: National Natural Science Foundation of China (https://ror.org/01h0zpd94)
Depositing User: Shaomin Wu
Date Deposited: 16 May 2023 07:02 UTC
Last Modified: 04 Mar 2024 19:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/101296 (The current URI for this page, for reference purposes)

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