Application of Python Software Environment for Analyzing the Systems of Quality Management with the Use of Machine Teaching Methods

The article is devoted to development of the program product that allows solving the tasks of analysis of incoming and outgoing processes of the systems of management quality for determining the hidden interactions between them. For solving the set task, analysis of requirements of the corresponding international standards was performed. The concept of the process and the foundation for collecting data on it are analyzed. Organizational analysis of the factors that complicate collection of correct data is performed, causes of these factors are determined, and correcting actions are determined. As a result, an algorithm and software product are created, which is peculiar – due to application of machine teaching methods – for the capability to improve the incoming data on the processes, determine linear regularities in data collections, rank incoming flows according to their contribution into outgoing flows, and model the behavior of the process in the set conditions. The developed program product allows supporting the process of managerial decisions making aimed at creation of economically effective architecture of the systems of quality management.