Department Industrial and Systems Engineering, Cape Peninsula University of Technology, South Africa
Smith, R.A., Department Industrial and Systems Engineering, Cape Peninsula University of Technology, South Africa; Bester, A., Department Industrial and Systems Engineering, Cape Peninsula University of Technology, South Africa; Moll, M., Department Industrial and Systems Engineering, Cape Peninsula University of Technology, South Africa
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. © 2014 South African Institute of Industrial Engineering. All rights reserved.