“Quality assessment and risk forecast in enterprise management system processes using qualimetric methods”

Abstract

To assess the quality and predict the risks in the processes of the Quality Management
System (QMS) of enterprises based on ISO 9000 series standards, it is recommended to use
qualimetric methods based on the criteria of nonparametric statistics. The article considers two
practical tasks. One of them concerns determining the randomness of the time series of assessments
of the QMS process quality. It is proposed to use the series criterion to determine the period when
random or natural factors influence the distribution of the process quality indicators. This approach
allows to predict the behaviour of quality assessment time series and development of corrective
measures. The second task focuses on establishing confidence intervals for the variance of the
generalized quality indicator of the QMS process over time, using the Wilcoxon criterion. An
algorithm has been developed to identify the systematic component of QMS process performance
over time and to define its confidence intervals. Monitoring and analyzing the movement of the
median value of the quality indicator facilitate forecasting and decision-making to enhance process
quality. Understanding confidence intervals assists in determining the stability of variations in the
generalized quality indicator of the QMS process during its operation.