Improving the approach to managing network interactions of mechanical engineering enterprises based on the information support of the quality management system

Currently, due to the development of industry 4.0 and the transition to industry 5.0, there is a transformation of management models, marked by the transition to managing complex structured sets of knowledge and their owners. The inefficient use of information resources capable of accumulating data and interpreting them to make relevant management decisions, including on the issue of evaluating the effectiveness of production and management processes, hinders the improvement of quality in workplaces in the engineering industry. In this regard, the information support of the quality management system in the machine-building industry is seen as a key task that can improve the efficiency of enterprise management as a whole. The study summarizes the elements of quality management of the production process in the network in the field of mechanical engineering, among which the main components are highlighted: subjects, objects of management at the strategic and operational level, stages of the product life cycle, flows of production processes, models for evaluating the quality management system. A process model has been developed to ensure technological sovereignty in the machine-building industry in the "university - enterprises of mechanical engineering" network, which includes six main stages, at each of which the enterprise cooperates with a higher educational institution for the purpose of creating import-substituting machine-building products. Information support is one of the important stages in achieving technological sovereignty in the machine-building industry in the network of "university - enterprises of mechanical engineering". It is concluded that automation of quality management processes based on the use of information and communication technologies allows not only to automate document accounting, but also to optimize material and information flows at the enterprise, redesign processes, increasing their efficiency.