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A dynamic unreliability assessment and optimal maintenance strategies for multistate weighted k-out-of-n:F systems
In this paper, a dynamic evaluation of the multistate weighted k‐out‐of‐n:F system is presented in an unreliability viewpoint. The expected failure cost of components is used as an unreliability index. Using failure cost provides an opportunity to employ financial concepts in system unreliability es...
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Published in: | Applied stochastic models in business and industry 2016-07, Vol.32 (4), p.485-493 |
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container_title | Applied stochastic models in business and industry |
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creator | Khorshidi, Hadi Akbarzade Gunawan, Indra Ibrahim, Yousef |
description | In this paper, a dynamic evaluation of the multistate weighted k‐out‐of‐n:F system is presented in an unreliability viewpoint. The expected failure cost of components is used as an unreliability index. Using failure cost provides an opportunity to employ financial concepts in system unreliability estimation. Hence, system unreliability and system cost can be compared easily in order to making decision. The components' probabilities are computed over time to model the dynamic behavior of the system. The whole system has been assessed by recursive algorithm approach. As a result, a bi‐objective optimization model can be developed to find optimal decisions on maintenance strategies. Finally, the application of the proposed model is investigated via a transportation system case. Matlab programming is developed for the case, and genetic algorithm is used to solve the optimization model. Copyright © 2016 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/asmb.2173 |
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subjects | bi-objective optimization dynamic assessment Dynamic tests Dynamical systems Dynamics Failure failure cost Maintenance Matlab multistate weighted k-out-of-n:F system Optimization recursive algorithm Transportation models unreliability evaluation |
title | A dynamic unreliability assessment and optimal maintenance strategies for multistate weighted k-out-of-n:F systems |
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