The equal tendency algorithm: a new heuristic for the reliability model

Elias Munapo ()
Additional contact information
Elias Munapo: North West University

International Journal of System Assurance Engineering and Management, 2019, vol. 10, issue 5, No 4, 918-924

Abstract: Abstract The paper presents the equal tendency algorithm for approximating the reliability problem. The algorithm is based on the fact that a reliability product of various components tends to be maximal if the individual components are approximately equal. The nonlinear integer reliability problem is approximated as a binary linear integer model using the equal tendency theorem. The resulting linear model is then solved using the available efficient interior point algorithms.

Keywords: Reliability; Nonlinear; Integer problem; Equal tendency; Interior point algorithm (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-019-00821-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:ijsaem:v:10:y:2019:i:5:d:10.1007_s13198-019-00821-w

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-019-00821-w

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().