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 |
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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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