DOI: 10.18503/1995-2732-2024-22-3-152-159
Abstract
Relevance. Today, machine-building organizations face a number of problems in the framework of replacing foreign products with domestic ones. In view of this, it is often necessary to optimize business processes, requiring an analysis of the quality of engineering products. Quality is one of the most important tools in the market among competitors; therefore, to improve the performance of a machine-building organization, attention should be paid to quality. Objectives. The research is aimed at developing an author’s algorithm for using a multi-factor analysis of the quality of engineering products to optimize business processes. Methods Applied. The article uses general scientific methods, mainly approaches and methods of a system analysis and general theory of systems, analysis and synthesis, as well as comparison and generalization. The presented methods were used to conduct a critical analysis of points of view on the specific features of using the multi-factor analysis of engineering product quality indicators to optimize business processes. Originality. The article presents the developed author’s algorithm for using the multi-factor analysis of the quality of engineering products to optimize business processes. Results. Now, machine-building enterprises face the need to optimize their business processes, which can be done on the basis of improving the product quality. However, the optimization process requires some preparatory work. As part of this research, the authors present the author’s algorithm for optimizing business processes based on a multi-factor analysis of the quality of engineering products, mainly focusing on choosing a group of quality indicators and factors. Practical Relevance. The algorithm may be used in business of machine-building organizations to optimize business processes.
Keywords
multi-factor analysis, quality indicators, business processes, engineering products, optimization
For citation
Prytkova E.A., Davydov V.M. The Use of a Multi-Factor Analysis of Engineering Product Quality Indicators to Optimize Business Processes. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2024, vol. 22, no. 3, pp. 152-159. https://doi.org/10.18503/1995-2732-2024-22-3-152-159
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