QUALITY MANAGEMENT OF KNOWLEDGE-BASED PROCESSES

The article shows the importance of information (digital) technologies in a successful high-tech enterprise. The directions of development of quality management tools and methods for knowledge-based innovative processes and productions at various stages of the product life cycle are analyzed. The most important methods are the digitalization of the collection, storage and analysis of large amounts of data, the control of production and management processes, the construction of a product lifecycle management system based on modern information technologies. To implement new approaches to the manufacturing process management, digital transformation is used - the process of transformation of a company aimed at forming a unified information environment throughout the product lifecycle, combining various methods and tools for data management at the enterprise. An important step in the development of data processing technology is the use of artificial intelligence and neural networks. Alongside with the development of information technology, the possibilities of analytics from descriptive to prescriptive and cognitive are also growing. Based on the analysis of best practices in quality management, it can be concluded that it is possible and necessary to digitalize knowledge-based processes with a transition to more efficient methods of organizing production and quality management.

quality, quality management, process approach, digital technologies, product lifecycle