Reliability optimization of k-out-of-n system with random selection of allocative components
Xiaoliang Ling,
Yinzhao Wei and
Shubin Si
Reliability Engineering and System Safety, 2019, vol. 186, issue C, 186-193
Abstract:
This paper studies the optimal component allocation policy of a k-out-of-n system composed of n independent subsystems. Each subsystem includes one or several allocative components arranged in parallel [series], and these allocative components are drawn from a randomly selected batch of manufactured components. We compare two allocation policies by means of the majorization order. As a consequence, we get the optimal allocation policy under the constraint of the maximum number of components allowed for each subsystem and the entire system. We also analyze the influence of the batches heterogeneity on the k-out-of-n system reliability. Finally, several illustrative examples are presented.
Keywords: Heterogeneous population; Majorization order; k-out-of-n system; Parallel redundancy (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832018311967
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:186:y:2019:i:c:p:186-193
DOI: 10.1016/j.ress.2019.02.020
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 ().