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8Ds method of problem solving within automotive industry: Tools used and comparison with DMAIC

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dc.contributor.authors Phanden, Rakesh Kumar; Sheokand, Aaryan; Goyal, Kapil Kumar; Gahlot, Pardeep; Demir, Halil Ibrahim
dc.date.accessioned 2022-12-20T13:25:26Z
dc.date.available 2022-12-20T13:25:26Z
dc.date.issued 2022
dc.identifier.issn 2214-7853
dc.identifier.uri http://dx.doi.org/10.1016/j.matpr.2022.05.383
dc.identifier.uri https://hdl.handle.net/20.500.12619/99329
dc.description Bu yayının lisans anlaşması koşulları tam metin açık erişimine izin vermemektedir.
dc.description.abstract Problem solving techniques have many impacts on the organization to increases the operational efficien-cies, to reduce the materials wastage, to improve the consistency in production, to increase in production performance, to improve the manufacturing cycle time and ultimately to increase the company's profits. However, the selection of wrong team, wrong problem, lack of data and time are the regularly encoun-tered factors while problem-solving in manufacturing sector. Consequently, the sequential steps are required to define and to find out the root cause of problem, to select the most suitable alternatives and to implement solutions of that problem. In this paper, 8Ds methodology has been deeply studied with respect to the automotive manufacturing sector. The brief discussion on the tools used to apply 8Ds methodology has been presented. Also, the related contributions from literature have been explored corresponding to the outcome of applying 8Ds in manufacturing of automotive components. Based on lit-erature review, a sample 8Ds template has been presented in this paper. Various conclusions are derived on 8Ds like it is not one-time implementation technique but an on-going management choice to reply to customer complaints, application of Plan-Do-Check-Act cycle (PDCA) with 8D's helps in providing reliable solutions and increase the quality level and it has been successfully applied with the Define, Measure, Analyze, Improve and Control (DMAIC) methodology. In addition, the current paper also discusses the comparation of 8Ds with a well-known data drive methodology (i.e., DMAIC methodology). Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 2022 International Con-ference on Materials and Sustainable Manufacturing Technology.
dc.language English
dc.language.iso eng
dc.relation.isversionof 10.1016/j.matpr.2022.05.383
dc.subject Materials Science
dc.subject Problem Solving
dc.subject Automotive Industry
dc.subject 8Ds
dc.subject DMAIC
dc.subject Six Sigma
dc.title 8Ds method of problem solving within automotive industry: Tools used and comparison with DMAIC
dc.contributor.authorID Phanden, Rakesh Kumar/0000-0003-3900-9048
dc.identifier.volume 65
dc.identifier.startpage 3266
dc.identifier.endpage 3272
dc.relation.journal MATERIALS TODAY-PROCEEDINGS
dc.identifier.doi 10.1016/j.matpr.2022.05.383
dc.contributor.author Phanden, Rakesh Kumar
dc.contributor.author Sheokand, Aaryan
dc.contributor.author Goyal, Kapil Kumar
dc.contributor.author Gahlot, Pardeep
dc.contributor.author Demir, Halil Ibrahim
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı


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