Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/5794
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dc.contributor.authorSmith, RAen_US
dc.contributor.authorBester, Andreen_US
dc.contributor.authorMoll, CMen_US
dc.date.accessioned2017-06-23T12:43:04Z-
dc.date.available2017-06-23T12:43:04Z-
dc.date.issued2014-
dc.identifier.citationSouth African Journal of Industrial Engineering, 25(2):75-95, 2014en_US
dc.identifier.issn1751-5521-
dc.identifier.urihttp://dx.doi.org/10.7166/25-2-714-
dc.identifier.urihttp://hdl.handle.net/11189/5794-
dc.description.abstractThis study investigates current methods of measuring quality management system (QMS) performance. It introduces a methodology to quantify QMS performance in order to provide a reference point for improved QMS performance and, in turn, the business’s performance. By introducing metadata into historical or current QMS internal audit data, the study shows that it is possible, over time, to extract various levels of value-adding data, ranging from high-level, strategic, direction-oriented insight, to process effectiveness and implementation-level guidance. This is accomplished by a repeatable process of infusing cause and effect theming data and process-consequence severity data into the QMS auditfindings data, and subsequently analysing the additional metadata.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Laboratory Hematologyen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/za/-
dc.subjectQuality managementen_US
dc.subjectMeasurementen_US
dc.subjectPerformanceen_US
dc.subjectImprovementen_US
dc.titleQuantifying quality management system performance in order to improve business performanceen_US
dc.type.patentArticleen_US
Appears in Collections:Eng - Journal articles (DHET subsidised)
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