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Permanent link (DOI): https://doi.org/10.7939/R3XP6V96P
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Selective Maintenance for Systems under Imperfect Maintenance Policy Open Access
- Other title
Preventive maintenance scheduling
Maintainable and non-maintainable failure modes
Multi-state system (MSS)
Hybrid imperfect maintenance
Cost-age based hazard adjustment factor
Cost-age based age reduction factor
- Type of item
- Degree grantor
University of Alberta
- Author or creator
Pandey, Mayank Kumar
- Supervisor and department
Zuo, Ming J. (Mechanical Engineering)
- Examining committee member and department
Ingolfsson, Armann (Alberta School of Business)
Ma, Yongsheng (Mechanical Engineering)
Karapetrovic, Stanislav (Mechanical Engineering)
Cassady, C.Richard (College of Engineering, University of Arkansas)
Department of Mechanical Engineering
- Date accepted
- Graduation date
Doctor of Philosophy
- Degree level
Due to the advent of complex engineering systems in the last few decades, reliability and maintenance issues are gaining more attention than ever. Maintenance is important to keep a system running and ensure that it performs its functions satisfactorily. Often, there are limited resources to complete the maintenance of a system. Such a limitation may arise due to limited budget, time, or repairman availability, etc. Under these circumstances, it is required to optimally allocate the available resources in a way that selected components within a system and maintenance actions performed on the selected components assure satisfactory performance of the system after maintenance. This maintenance policy is called selective maintenance.
At the time of maintenance, it is not always necessary that a system is replaced. It may undergo other maintenance options instead, such as minimal repair (when a failed system is as bad as old after maintenance) or imperfect maintenance (better than minimal repair but not as good as a new component). This Ph.D. research studies the selective maintenance modeling for systems when imperfect maintenance is also possible in addition to replacement and minimal repair. Models are developed in this thesis to reflect the effect of different maintenance actions on system reliability. In juxtaposition with these models, selective maintenance policy is developed for systems.
A maintenance policy is influenced by several factors such as the age of the system, failure modes in the system, maintenance history, and the performance levels of the system. At first in this thesis, the effect of the system age and maintenance budget on the maintenance decision is modeled and selective maintenance is performed. A single mission selective maintenance model is developed for a system that can exist in any of the two possible states: working and failed (also called binary system), and all failures within the system are maintainable.
Maintenance may or may not affect different failure modes in a system, and accordingly the system can be maintainable and non-maintainable with respect to these failure modes. Therefore, the presence of these two types of failures in a binary system is also studied and a single mission selective maintenance problem is solved.
If maintenance is required more than once in a given planning horizon, then the single mission selective maintenance is no longer adequate. In these conditions, the time to perform maintenance is important in order to keep a system reliable throughout the planning horizon. Hence, maintenance scheduling is required for a system along with the selective maintenance decision during each of the maintenance breaks. Thus, the selective maintenance scheduling problem is solved for a binary system in this thesis.
Conventionally, it is assumed that a system has binary states. But a system may also have more than two performance states. For such a multistate system, the binary selective maintenance model is not applicable. Therefore, a comprehensive model is developed in this thesis for selective maintenance of a multistate system.
The proposed selective maintenance models are applied to different examples. The results demonstrate the effectiveness and advantages of the proposed models.
- Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
- Citation for previous publication
M. Pandey, M.J. Zuo, R. Moghaddass, and M.K. Tiwari. Selective maintenance for binary systems under imperfect repair. Reliability Engineering and System Safety, 113(1) : 42–51, 2013.M. Pandey, Y.Liu, and M.J. Zuo. Reliability modeling with applications essays in honor of Professor Toshio Nakagawa on his 70th birthday, chapter Selective maintenance for complex systems considering imperfect maintenance efficiency. World Scientific (Singapore), pages 17-49, 2013, doi:10.1142/9789814571944_0002.M. Pandey, M.J. Zuo, and R. Moghaddass. Selective maintenance for binary systems using age-based imperfect repair model. In Proceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2012, pages 385–389, 2012.M. Pandey and M. Zuo. Selective maintenance considering two types of failure modes. International Journal of Strategic Engineering Asset Management, 2013, Accepted for publication.M. Pandey and M. Zuo. Selective maintenance for a multi-component system with two types of failure modes under age-based imperfect maintenance. In Proceedings of 19th ISSAT Conference on Reliability and Quality in Design, pages 439–443, August 5-7, 2013.M. Pandey and M.J. Zuo. Selective preventive maintenance scheduling under imperfect repair. In Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual, pages1–6,2013. doi:10.1109/ RAMS.2013.6517618.M. Pandey, M. Zuo, and R. Moghaddass. Selective maintenance scheduling over a finite planning horizon. IMECHE Part: O Journal of Risk and Reliability, 2013. Submitted for publication.M. Pandey, M.Zuo, and R. Moghaddass. Selective maintenance modeling for a multistate system with multistate components under imperfect maintenance. IIE Transactions, 45(11):1221–1234, 2013.
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File title: Thesis
File author: Mayank Kumar Pandey
Page count: 193