Optimization of the redundancy allocation problem: Genetic algorithm and Monte Carlo simulation with discrete events

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dc.contributor.authorSahin, Merve Uzuner
dc.contributor.authorDengiz, Orhan
dc.contributor.authorDengiz, Berna
dc.date.accessioned2025-02-24T17:18:28Z
dc.date.available2025-02-24T17:18:28Z
dc.date.issued2024
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe reliability optimization of a system with various problem-specific constraints is an important problem. The Redundancy Allocation Problem (RAP) is the design of new systems with higher reliability using redundant components in parallel arrangement. While improving the system's reliability, the cost is also on the upswing. It has been ensured that system designs with higher reliability at lower costs, where failure and repair are considered, can be obtained (Table A). The reliability of the system with nonrepairable components is lower than the reliability of the system with repairable components. Furthermore, the cost of the system with nonrepairable components is higher than the cost of the system with repairable components.Purpose:The aims of this study are modeling the dynamic behavior of a system considering increasing failure and repair rates, and finding the optimal repairable system design.Theory and Methods:This paper presents a Discrete Event Simulation (DES) model to estimate the system reliability considering increasing failure and repair rates, and a Genetic Algorithm (GA) to find the optimal repairable system design.Results:According to the results, system designs with higher reliability at lower costs, where failure and repair are considered, can be obtained. It has been found that systems with repairable components are more reliable and cheaper than systems with nonrepairable components. Conclusion:It is obtained that the optimal repairable system design with higher reliability at lower cost than the nonrepairable system design.
dc.identifier.doi10.17341/gazimmfd.1107901
dc.identifier.endpage547
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85174293512
dc.identifier.scopusqualityQ2
dc.identifier.startpage535
dc.identifier.trdizinid1238599
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.1107901
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1238599
dc.identifier.urihttps://hdl.handle.net/20.500.14440/671
dc.identifier.volume39
dc.identifier.wosWOS:001058089000041
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherGazi Univ, Fac Engineering Architecture
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250201
dc.subjectSystem reliability
dc.subjectRedundancy allocation problem
dc.subjectRepairable component
dc.subjectDiscrete event simulation
dc.subjectGenetic algorithm
dc.titleOptimization of the redundancy allocation problem: Genetic algorithm and Monte Carlo simulation with discrete events
dc.typeArticle

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