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

dc.contributor.author Serdar Baysan
dc.contributor.author Ozgur Kabadurmus
dc.contributor.author Emre Çevikcan
dc.contributor.author Sule Itir Satoglu
dc.contributor.author Mehmet Bǔlent Durmuşoǧlu
dc.date.accessioned 2025-10-06T17:51:25Z
dc.date.issued 2019
dc.description.abstract 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. © 2019 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.jclepro.2018.11.217
dc.identifier.issn 09596526
dc.identifier.issn 0959-6526
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059318231&doi=10.1016%2Fj.jclepro.2018.11.217&partnerID=40&md5=c80e7e7c3d32456a482c69a245ab4658
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9437
dc.language.iso English
dc.publisher Elsevier Ltd
dc.relation.ispartof Journal of Cleaner Production
dc.source Journal of Cleaner Production
dc.subject Energy Consumption, Energy Value Stream Map, Lean Production, Simulation, Cellular Manufacturing, Cost Effectiveness, Energy Efficiency, Lean Production, Waste Utilization, Competitive Environment, Design And Simulation, Effective Utilization Of Resources, Energy Value, Environmental Awareness, Lean Transformation, Power Distributions, Simulation, Energy Utilization
dc.subject Cellular manufacturing, Cost effectiveness, Energy efficiency, Lean production, Waste utilization, Competitive environment, Design and simulation, Effective utilization of resources, Energy value, Environmental awareness, Lean transformation, Power distributions, Simulation, Energy utilization
dc.title A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
dc.type Article
dspace.entity.type Publication
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 908
gdc.description.startpage 895
gdc.description.volume 211
gdc.identifier.openalex W2900449331
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 31.0
gdc.oaire.influence 5.14817E-9
gdc.oaire.isgreen true
gdc.oaire.popularity 4.320663E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 1.7697
gdc.openalex.normalizedpercentile 0.85
gdc.opencitations.count 63
gdc.plumx.crossrefcites 43
gdc.plumx.facebookshareslikecount 1
gdc.plumx.mendeley 257
gdc.plumx.newscount 1
gdc.plumx.scopuscites 78
oaire.citation.endPage 908
oaire.citation.startPage 895
person.identifier.scopus-author-id Baysan- Serdar (24605164400), Kabadurmus- Ozgur (24604956200), Çevikcan- Emre (24604953100), Satoglu- Sule Itir (14036338400), Durmuşoǧlu- Mehmet Bǔlent (8964345200)
publicationvolume.volumeNumber 211
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

Files