An integrated approach for lean production using simulation and data envelopment analysis

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dc.authorid0000-0001-8857-5148
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.authorBuyuksaatci Kiris, Sinem
dc.contributor.authorEryarsoy, Enes
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2021-09-28T09:03:35Z
dc.date.available2021-09-28T09:03:35Z
dc.date.issued2021
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractAccording to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting objectives. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The proposed framework can help identify the most efficient solution alternative by (i) considering the most common lean production methods for assembly line balancing, such as single minute exchange of dies (SMED) and multi-machine set-up reduction (MMSUR), (ii) creating and simulating various alternative assembly line configuration options via discrete-event simulation modeling, and (iii) formulating and applying DEA to identify the best alternative assembly system configuration for the multi-objective decision making. In this study, we demonstrate the viability and superiority of the proposed framework with an application case on an automotive spare parts production system. The results show that the suggested framework substantially improves the existing system by increasing efficiency while concurrently decreasing work-in-process (WIP).
dc.identifier.citationBuyuksaatci Kiris, S., Eryarsoy, E., Zaim, S. ve Delen, D. (2021). An integrated approach for lean production using simulation and data envelopment analysis. Annals of Operations Research.
dc.identifier.doi10.1007/s10479-021-04265-z
dc.identifier.scopus2-s2.0-85115202978
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10479-021-04265-z
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1606
dc.identifier.wosWOS:000698068200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorDelen, Dursun
dc.institutionauthorid0000-0001-8857-5148
dc.language.isoen
dc.publisherSpringer
dc.relation.ihupublicationcategory114
dc.relation.ispartofAnnals of Operations Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLean Production
dc.subjectTime Study
dc.subjectMulti-Machine Set-Up Reduction (MMSUR)
dc.subjectSingle Minute Exchange of Dies (SMED)
dc.subjectSimulation
dc.subjectData Envelopment Analysis (DEA)
dc.titleAn integrated approach for lean production using simulation and data envelopment analysis
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicatione854a5d5-11a9-4148-a1aa-863a4c13eeb5
relation.isAuthorOfPublicationde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isAuthorOfPublication.latestForDiscoverye854a5d5-11a9-4148-a1aa-863a4c13eeb5
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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