Pareto Analysis of the Performance Quality of Automakers’ Service Centers

The application of the Pareto analysis method to solve problems in the fi eld of quality management remains in demand and is extremely relevant. Currently, we are seeing a sharp increase in electronic data refl ecting the fl ow of various processes in the management system of organizations, as well as data refl ecting the stages of the product life cycle. Accordingly, the growth of data requires solving scientifi c and technical problems aimed at developing methods and tools for monitoring and analyzing data. Their improvement and corresponding development is required in the context of solving problems in the fi eld of digitalization and informatization of quality management processes. It seems that the use of classical tools for analytical activities of corporate quality services of car assembly plants, taking into account the solution of promising problems in the fi eld of their development, creates the prerequisites for improving management processes and increasing their effi ciency. This article discusses the Pareto method, which implements the task of identifying the most signifi cant fragments of data, which becomes the basis for creating highly effective models for predicting product quality during operation. The method is implemented on real data on incoming requests for service of cars of one of the leading domestic automakers.