Please use this identifier to cite or link to this item:
http://hdl.handle.net/11189/5794| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Smith, RA | en_US |
| dc.contributor.author | Bester, Andre | en_US |
| dc.contributor.author | Moll, CM | en_US |
| dc.date.accessioned | 2017-06-23T12:43:04Z | - |
| dc.date.available | 2017-06-23T12:43:04Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | South African Journal of Industrial Engineering, 25(2):75-95, 2014 | en_US |
| dc.identifier.issn | 1751-5521 | - |
| dc.identifier.uri | http://dx.doi.org/10.7166/25-2-714 | - |
| dc.identifier.uri | http://hdl.handle.net/11189/5794 | - |
| dc.description.abstract | This 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.iso | en | en_US |
| dc.publisher | International Journal of Laboratory Hematology | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/za/ | - |
| dc.subject | Quality management | en_US |
| dc.subject | Measurement | en_US |
| dc.subject | Performance | en_US |
| dc.subject | Improvement | en_US |
| dc.title | Quantifying quality management system performance in order to improve business performance | en_US |
| dc.type.patent | Article | en_US |
| Appears in Collections: | Eng - Journal articles (DHET subsidised) | |
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