Life Cycle and Quality Control System

Abstract

The relevance of the study is determined by the need for industry to transition to new models of quality assurance under the conditions of digital transformation. Traditional methods of quality control and management do not fully account for the dynamics of production processes, thereby limiting the possibilities of predictive analysis and comprehensive diagnostics. The research is devoted to the development of conceptual approaches to designing the architecture of a digital quality control system for mission-critical products. Particular attention is given to the integration of digital twin technologies and CALS approaches, which create a unified information space for managing the product life cycle. Within the framework of the study, a model for organizing quality monitoring is proposed, based on the combination of digital traceability methods, automated data analysis, and feedback mechanisms. A systematization of modern technologies and metrics ensuring comprehensive quality assessment has been carried out, and methodological guidelines for adapting production processes to the conditions of a flexible digital environment have been developed. The main results of the work include the substantiation of the structure of the digital quality control architecture and the formation of a set of tools enabling the identification of internal reserves for efficiency improvement through predictive analytics and adaptive management. It is concluded that the proposed approach provides a higher level of reliability and resilience of production processes compared to traditional control methods. The practical significance of the study lies in the possibility of applying the presented models and provisions to improve quality management systems at enterprises in high-tech industries.