 Redundancy allocation problem of a system with increasing failure rates of components based on Weibull distribution: A simulation-based optimization approachPedram Pourkarim Guilani, Parham Azimi, S.T.A. Niaki and Seyed Armin Akhavan Niaki Reliability Engineering and System Safety, 2016, vol. 152, issue C, 187-196 Abstract: The redundancy allocation problem (RAP) is a useful method to enhance system reliability. In most works involving RAP, failure rates of the system components are assumed to follow either exponential or k-Erlang distributions. In real world problems however, many systems have components with increasing failure rates. This indicates that as time passes by, the failure rates of the system components increase in comparison to their initial failure rates. In this paper, the redundancy allocation problem of a series–parallel system with components having an increasing failure rate based on Weibull distribution is investigated. An optimization method via simulation is proposed for modeling and a genetic algorithm is developed to solve the problem. Keywords: Reliability; Redundancy allocation problem; Weibull distribution; Simulation; Genetic algorithm (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:152:y:2016:i:c:p:187-196 DOI: 10.1016/j.ress.2016.03.010 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 |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.