Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/4481
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dc.contributor.authorZondo, Robert Walter Dumisanien_US
dc.date.accessioned2022-11-04T12:05:23Z-
dc.date.available2022-11-04T12:05:23Z-
dc.date.issued2018-09-27-
dc.identifier.citationZondo, R.W.D. 2018. The appropriateness of the design of experiments to support Lean Six Sigma for variability reduction. The Journal for Transdisciplinary Research Research in Southern Africa. 14(1): 1-6 (6). doi:10.4102/td.v14i1.469en_US
dc.identifier.issn1817-4434 (Print)-
dc.identifier.issn2415-2005 (Online)-
dc.identifier.otherisidoc: HW6OA-
dc.identifier.urihttps://hdl.handle.net/10321/4481-
dc.description.abstractA Design of Experiment (DoE) is a strategy for planning, conducting, analysing and interpreting the experiment so that valid conclusions can be drawn efficiently and economically. It has the ability to reduce product and process variability. Hence, this study examined if DoE is an appropriate tool to support Lean Six Sigma in selected automotive component manufacturing companies in South Africa. The automotive component manufacturing sector uses various tools aimed at reducing variability. This includes Lean Six Sigma. Consequently, companies that participated in the study have (over and above Lean Six Sigma) adopted a DoE strategy. Thus, the study was designed to establish if DoE is an appropriate tool to support Lean Six Sigma. Of the 123 participants identified, 107 completed the questionnaires. Middle managers of four automotive component manufacturing companies in the eThekwini District Municipality participated in the study. The study investigated production and the related experiences of the automotive component manufacturing companies. Descriptive and correlation were used to analyse data. Results indicated that the appropriateness of DoE to support Lean Six Sigma in various business activities (like finance, strategy and product development) has no relation to both product improvements through reformulation during product development and process optimisation using quality control tools. However, study participants provided a number of reasons for implementing DoE in the automotive component manufacturers. It is advised that the automotive component manufacturers develop a comprehensive variability reduction policy that aligns DoE tools to business performance.en_US
dc.format.extent6 pen_US
dc.language.isoenen_US
dc.publisherAOSISen_US
dc.relation.ispartofThe Journal for Transdisciplinary Research in Southern Africa; Vol. 14, Issue 1en_US
dc.subjectDesign of Experiment (DoE)en_US
dc.subjectLean Six Sigmaen_US
dc.titleThe appropriateness of the design of experiments to support Lean Six Sigma for variability reductionen_US
dc.typeArticleen_US
dc.date.updated2022-10-28T12:58:44Z-
dcterms.dateAccepted2018-7-12-
dc.identifier.doi10.4102/td.v14i1.469-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
Appears in Collections:Research Publications (Management Sciences)
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