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Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT

Dui, Hongyan, Wu, Xinmin, Wu, Shaomin, Xie, Min (2024) Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT. Frontiers of Engineering Management, . ISSN 2096-0255. (doi:10.1007/s42524-024-4003-0) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:106562)

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Official URL:
https://doi.org/10.1007/s42524-024-4003-0

Abstract

Numerous maintenance strategies have been proposed in the literature related to reliability. This paper focuses on the utilization of reliability importance measures to optimize maintenance strategies. We analyze maintenance strategies based on importance measures and identify areas lacking sufficient research. The paper presents principles and formulas for advanced importance measures within the context of optimizing maintenance strategies. Additionally, it classifies methods of maintenance strategy optimization according to importance measures and outlines the roles of these measures in various maintenance strategies. Finally, it discusses potential challenges that optimization of maintenance strategies based on importance measures may encounter with future technologies.

Item Type: Article
DOI/Identification number: 10.1007/s42524-024-4003-0
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Shaomin Wu
Date Deposited: 17 Jul 2024 10:03 UTC
Last Modified: 18 Jul 2024 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/106562 (The current URI for this page, for reference purposes)

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