- Title
- A value-driven approach for optimizing reliability-redundancy allocation problem in multi-state weighted k-out-of-n system
- Creator
- Khorshidi, Hadi; Gunawan, Indra; Ibrahim, Yousef
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154534
- Identifier
- vital:11139
- Identifier
-
https://doi.org/10.1016/j.jmsy.2016.06.002
- Identifier
- ISSN:0278-6125
- Abstract
- This study concentrates on optimizing a multi-state weighted k-out-of-n system consisting of different types of reparable components. An optimization model is developed to decide upon both optimal redundancy allocation and best maintenance activities for reliability allocation. The optimization model is to maximize system reliability and minimize system cost simultaneously. To reach this goal, a financial view has been employed to estimate the system reliability, and combine it with system cost. The proposed model determines the number of each component type in the system, and the maintenance actions and the time at which they should be applied. Also, the model is programmed by MATLAB, and Genetic Algorithm is used to solve a practical case. (C) 2016 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
- Publisher
- Elsevier Ltd
- Relation
- Journal of Manufacturing Systems Vol. 40, no. (2016), p. 54-62
- Rights
- Copyright © 2016 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0910 Manufacturing Engineering; Multi-state weighted k-out-of-n system; Net present value; System reliability optimization; Manufacturing system; Universal generating function
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