Analysis of the data collection process about products at different stages of production

Abstract

The research is dedicated to improving the quality control system in printed circuit board manufacturing by optimizing the processes of collecting production data. Based on the analysis of modern challenges in industrial digitalization, a comprehensive approach to organizing the monitoring of technological parameters is proposed. An original conceptual model has been developed, defining the logical interconnections between data sources, methods of their acquisition, processing techniques, and the ultimate goals of production control. A systematization of data collection methods has been conducted, classified by the level of automation and the types of technologies used. The paper presents practically oriented recommendations for applying monitoring tools at various stages of the production cycle – from material preparation to the final inspection of finished products. The proposed solutions consider the criteria of technological feasibility and accuracy requirements for measurements. The implementation of the proposed approach enables full traceability of production, increases the efficiency of defect detection, and creates a foundation for building adaptive quality management systems. The research results have practical value for enterprises in the electronics industry transitioning to the principles of Industry 4.0.