PERFORMANCE EVALUATION IN THE STATISTICAL CONTROL OF PROCESSES: SELECTION OF INTERNATIONAL THEORICAL FRAMEWORK AND BIBLIOMETRIC ANALYSIS
Published date: 17/11/2017
The study aims to identify the topics addressed in the international scientific literature on the subject of Performance Assessment in Statistical Control Management Process (CEP), in order to identify opportunities for improvement. This exploratory research used ProKnow-C as an intervention tool for the selection of the bibliographic-PB portfolio and analysis of the characteristics of this fragment of literature. The prominent authors identified were Lea Pearn Wen, and Shu-Ming Chung, with 5, 4 and 3 publications in the PB respectively. It was also possible to identify the periodicals Quality and Reliability Engineering International and Expert Systems with Applications as the two periodicals with the highest number of publications. In relation to the keywords present in the portfolio, those that stood out were Process Capability Indices, Control Charts, and Process Capability index. The periodicals with greatest impact factor were: European Journal of Operational Research and Expert Systems with Applications. The works found identified the use of Performance Measurement Systems in the activities of statistical process control. The results also indicate the use of indicators, derived from realistic models of performance evaluation, focusing on statistical quality but without taking into account the managers’ needs, values and preferences of the contexts evaluated.