SciELO - Scientific Electronic Library Online

 
vol.25 issue2Managing risk for success in a South African engineering and construction project environmentPareto optimal solutions for multi-objective generalized assignment problem author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    South African Journal of Industrial Engineering

    On-line version ISSN 2224-7890

    Abstract

    SMITH, R.A.; BESTER, A.  and  MOLL, M.. Quantifying Quality Management System performance in order to improve business performance. S. Afr. J. Ind. Eng. [online]. 2014, vol.25, n.2, pp.75-95. ISSN 2224-7890.

    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 audit-findings data, and subsequently analysing the additional metadata.

            · abstract in Afrikaans     · text in English     · English ( pdf )