A dynamic unreliability assessment and optimal maintenance strategies for multistate weighted k‐out‐of‐n:F systems. (6th May 2016)

• Record Type: Journal Article
• Authors: Khorshidi, Hadi Akbarzade; Gunawan, Indra; Ibrahim, Yousef
• Is Part Of: Applied stochastic models in business and industry. Volume 32:Number 4(2016:Jul./Aug.)
• Page Start: 485
• Page End: 493
• Publication Date: 2016-05-06
• Subjects: multistate weighted k‐out‐of‐n:F system -- dynamic assessment -- unreliability evaluation -- bi‐objective optimization -- failure cost -- recursive algorithm; Stochastic analysis -- Periodicals; Stochastic processes -- Periodicals; Business mathematics -- Periodicals; Finance -- Mathematical models -- Periodicals; Industrial management -- Mathematical models -- Periodicals; 338.00151923
• DOI: 10.1002/asmb.2173
• Languages: English
• ISSNs: 1524-1904

Abstract

Abstract : 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.