Optimal Maintenance Strategies Considering Opportunity Costs and Repair Actions
Pages 163 - 164
Abstract
The development of a maintenance strategy is crucial for the operation of the equipment. Currently, the optimization of maintenance decision-making largely disregards the influence of human factors. It may result in maintenance strategies being distorted by risk attitudes and not being effectively implemented. Therefore, this study aims to investigate the effects of lifetime prediction and risk attitudes on optimal maintenance decisions from a perspective of limited rationality.
References
[1]
Bram De Jonge and Philip A Scarf. 2020. A review on maintenance optimization. European journal of operational research 285, 3 (2020), 805–824.
[2]
Qiang Fu, Huawei Wang, Jianhua Zhao, and Xiaojing Yan. 2019. A maintenance-prediction method for aircraft engines using generative adversarial networks. In 2019 IEEE 5th international conference on computer and communications (ICCC). IEEE, 225–229.
[3]
Eginhard J Muth. 1977. An optimal decision rule for repair vs replacement. IEEE Transactions on Reliability 26, 3 (1977), 179–181.
[4]
Luca Pinciroli, Piero Baraldi, and Enrico Zio. 2023. Maintenance optimization in Industry 4.0. Reliability Engineering & System Safety (2023), 109204.
[5]
Anil Sharma, GS Yadava, and SG Deshmukh. 2011. A literature review and future perspectives on maintenance optimization. Journal of Quality in Maintenance Engineering 17, 1 (2011), 5–25.
[6]
Zhigang Tian and Han Zhang. 2022. Wind farm predictive maintenance considering component level repairs and economic dependency. Renewable Energy 192 (2022), 495–506.
Index Terms
- Optimal Maintenance Strategies Considering Opportunity Costs and Repair Actions
Recommendations
Maintenance and repair: a simulation model for field service with condition-based maintenance
WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiersIn this paper, we consider field service in which service providers are responsible for maintaining equipment performance. To do so, preventive maintenance work is usually required in addition to repairs. Field service managers are often faced with the ...
Opportunistic maintenance strategy optimization considering imperfect maintenance under hybrid unit-level maintenance strategy
Highlights- The maintenance strategy at unit-level in opportunistic maintenance model is hybrid.
- Both preventive maintenance actions in the model are imperfect.
- The calculation methods of operation planning time for different preventive ...
AbstractOpportunistic maintenance is a widely adopted strategy for maintaining multi-unit systems, which has garnered significant attention from researchers. However, the current opportunistic maintenance still suffers from certain limitations, such as ...
Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior
Insights into fire risk mitigation behavior are crucial for developing a public-private integrated fire-resistant management strategy that motivates contribution from households to fire risk reduction. This research focus on the effects of both ...
Comments
Information & Contributors
Information
Published In
December 2023
175 pages
ISBN:9798400709050
DOI:10.1145/3659154
Copyright © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 December 2024
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
ICEA 2023
ICEA 2023: The 2023 International Conference on Intelligent Computing and Its Emerging Applications
December 14 - 16, 2023
Kaohsiung, Taiwan
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 3Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in