Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/157474 
Year of Publication: 
2016
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 12 [Publisher:] Springer [Place:] Heidelberg [Year:] 2016 [Pages:] 61-69
Publisher: 
Springer, Heidelberg
Abstract: 
Bi-objective optimization of the availability allocation problem in a series-parallel system with repairable components is aimed in this paper. The two objectives of the problem are the availability of the system and the total cost of the system. Regarding the previous studies in series-parallel systems, the main contribution of this study is to expand the redundancy allocation problems to systems that have repairable components. Therefore, the considered systems in this paper are the systems that have repairable components in their configurations and subsystems. Due to the complexity of the model, a meta-heuristic method called as non-dominated sorting genetic algorithm is applied to find Pareto front. After finding the Pareto front, a procedure is used to select the best solution from the Pareto front.
Subjects: 
Availability allocation
Series-parallel system
Repairable components
NSGA II
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size
581.03 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.