EconPapers    
Economics at your fingertips  
 

Optimal component sequence in heterogeneous 1-out-of-N mixed RRAPs

Pardis Pourkarim Guilani, Mostafa Abouei Ardakan and Ehsan Ramezani Dobani

Reliability Engineering and System Safety, 2022, vol. 217, issue C

Abstract: The present study revisits the reliability-redundancy allocation problem (RRAP), as the most important problem in the design phase of complex systems. It is investigated with heterogeneous components allowed, which makes it formidable to find the optimal component sequence in each subsystem. Furthermore, a mixed redundancy strategy is applied to subsystems whose reliability requires complicated and time-consuming calculations to determine. A Markov-based model is developed to address both these issues at a low computation cost. Finally, the proposed approach is implemented on two famous benchmark test problems. Results demonstrate that, compared to the previously reported solutions, the proposed approach yields much better structures with higher reliability values without increasing the cost or volume of the systems.

Keywords: Reliability-redundancy allocation problem; Markov chain model; Mixed strategy; Heterogeneous components; Hybrid SFS-GA algorithm (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832021005925
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021005925

DOI: 10.1016/j.ress.2021.108095

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s0951832021005925