DOI: 10.18503/1995-2732-2025-23-2-148-157
Abstract
Problem Statement (Relevance). Currently, many methods and approaches to assessing the effectiveness of quality management system (QMS) processes have been developed and adapted. In most cases, organizations resort to using classical methods for assessing the effectiveness of the QMS and its processes, based on defining criteria and degrees of their achievement. However, such approaches do not allow taking into account the impact of emerging uncertainties and risks on the effectiveness of processes and the functioning of the QMS as a whole. In this regard, the paradigm of the Mamdani fuzzy algorithm becomes very relevant, allowing to create prerequisites for assessing the performance indicators of QMS processes and managing the criterial parametric settings of these processes. Objective and Methods Applied. The article considers the development of a model for assessing the effectiveness of QMS processes taking into account the influence of residual risk in processes based on the Mamdani fuzzy algorithm. The implementation of mathematical modeling methods is performed using the Fuzzy Logic Designer package of the MATLAB software package. Originality. The proposed model implements a new approach to assessing system processes, providing a comprehensive analysis of the effectiveness of activities under uncertainty. A fuzzy model for assessing the effectiveness of a process, including “2 inputs - 1 output, 25 rules”, allowing to take into account quantitative and qualitative aspects that determine the effectiveness of QMS processes, such as external and internal factors, risk ranks. Results. In the course of the work, a fuzzy model for assessing the effectiveness of QMS processes was developed taking into account the influence of the residual risk of the process. Practical Relevance. The use of fuzzy models, within which the results of the functioning of QMS processes are analyzed, allows to take into account the significant influence of internal and external factors, risks, as well as to develop and introduce complex changes that ensure continuous improvement of the company's activities.
Keywords
QMS processes, effectiveness indicators, fuzzy logic, Mamdani algorithm
For citation
Dybulina N.S., Tsareva S.A. Model for Assessing of the Quality Management System Processes Performance Based on the Application of the Mamdani Algorithm in Matlab Environment. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2025, vol. 23, no. 2, pp. 148-157. https://doi.org/10.18503/1995-2732-2025-23-2-148-157
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