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A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry

dc.contributor.authorBaysan, S.
dc.contributor.authorKabadurmus, O.
dc.contributor.authorCevikcan, E.
dc.contributor.authorSatoglu, S. I.
dc.contributor.authorDurmusoglu, M. B.
dc.contributor.ituauthorÇevikcan, Emre
dc.contributor.ituauthorSatoğlu, Şule Itır
dc.contributor.ituauthorDurmuşoğlu, Mehmet Bülent
dc.date.accessioned2026-01-26T07:25:22Z
dc.date.issued2019-02-01
dc.description.abstractAbstract In recent years, there has been an increasing interest in energy consumption in manufacturing systems due to the rising environmental awareness in society as well as the necessity of being cost-effective in the global competitive environment. Companies have to take measures to decrease their unnecessary energy consumption while maintaining their throughput. In this context, lean manufacturing is regarded as one of the most significant management initiatives for energy management, since it intensifies the effective utilization of resources via the identification and elimination of wastes. In this paper, a holistic methodology, which integrates Energy Value Stream Mapping, experimental design and simulation, is developed with the aim of analyzing and reducing the energy consumption within Lean Transformation. Moreover, the effects of unevenness (mura) and overburden (muri), as root causes of waste (muda), on energy consumption has been addressed for the first time. The proposed methodology is applied to a real-life cable ladder manufacturing system and its feasibility is demonstrated. The results of the application showed that the adaptation of cellular manufacturing, pull system and mistake-proofing yielded approximately 72.37% reduction in energy consumption.
dc.description.urihttps://doi.org/10.1016/j.jclepro.2018.11.217
dc.description.urihttps://dx.doi.org/10.1016/j.jclepro.2018.11.217
dc.description.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7437
dc.description.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9851
dc.description.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059318231&doi=10.1016/j.jclepro.2018.11.217&partnerID=40&md5=a44cd470fbf3ca86d2aa1757891ca84b
dc.identifier.doi10.1016/j.jclepro.2018.11.217
dc.identifier.endpage908
dc.identifier.issn0959-6526
dc.identifier.openairedoi_dedup___::f5104e3e4b2381f7fdea835210fdd29e
dc.identifier.orcid0000-0002-1974-7134
dc.identifier.orcid0000-0001-5109-5458
dc.identifier.orcid0000-0003-2768-4038
dc.identifier.orcid0000-0002-5007-8899
dc.identifier.startpage895
dc.identifier.urihttps://hdl.handle.net/11527/63520
dc.identifier.volume211
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofJournal of Cleaner Production
dc.rightsOPEN
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.sdg.typeGoal 12: Responsible Consumption and Production
dc.titleA simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0001-5109-5458
person.identifier.orcid0000-0003-2768-4038
person.identifier.orcid0000-0002-5007-8899

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