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 | |
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| gdc.description.startpage | 895 | |
| gdc.description.volume | 211 | |
| gdc.identifier.openalex | W2900449331 | |
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| 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 | |
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