An integrated approach for the operational design of a cellular manufacturing system

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dc.contributor.authorMaroof, Ayesha
dc.contributor.authorTariq, Adnan
dc.contributor.authorNoor, Sahar
dc.date.accessioned2022-01-31T11:34:37Z
dc.date.available2022-01-31T11:34:37Z
dc.date.issued2021en_US
dc.departmentEnstitüler, Fen Bilimleri Enstitüsü, Endüstri Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractShorter product life cycles, unpredictable demand patterns and the ever-shrinking time to market, have been constantly keeping the manufacturing firms under a lot of pressure. To face these challenges the manufacturing organizations have been shifting to Cellular Manufacturing (CM) due to its benefits of reducing manufacturing costs, increasing flexibility and delivering orders on time. Despite having several benefits, designing a Cellular Manufacturing System (CMS) for a real-life application is a tough ask. The main challenge is the part-machine grouping in cells. It becomes even more challenging when the group scheduling (GS) problem is handled alongside the part-machine clustering. To take up this challenge, an integrated model is developed during this research which handles the machine-part grouping and the GS problems, simultaneously. To optimize the multiple objectives of maximizing Grouping Efficacy (GE) and minimizing Makespan (Cmax), concurrently, a Hybrid Genetic Algorithm (HGA) based approach is developed. The proposed technique is validated through the famous benchmark problems, unlike the several approaches already available in literature. The computational results have shown that the integrated approach, presented in this paper, is more effective as compared to a sequential technique. Also, its accuracy remains intact even if it is applied to large sized problems.en_US
dc.identifier.doi10.22581/muet1982.2102.02en_US
dc.identifier.endpage278en_US
dc.identifier.issue2en_US
dc.identifier.startpage265en_US
dc.identifier.urihttps://hdl.handle.net/11467/5175
dc.identifier.urihttps://doi.org/10.22581/muet1982.2102.02
dc.identifier.volume40en_US
dc.identifier.wosWOS:000636052900002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherMehran Universityen_US
dc.relation.ispartofMehran University Research Journal of Engineering and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCellular Manufacturing Systemen_US
dc.subjectGrouping Efficacyen_US
dc.subjectMakespanen_US
dc.subjectHybrid Genetic Algorithmen_US
dc.titleAn integrated approach for the operational design of a cellular manufacturing systemen_US
dc.typeArticleen_US

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