Research on the Automated Decision-Making Effectiveness in Industrial Automation System

The problems of automating production processes using the intelligent analysis of big data were discussed in the paper. Existing methods of processing information from various devices, and determining data patterns or regularities were studied. The effectiveness of the SVD and Funk SVD algorithms for processing big data was determined. A modified Funk SVD data analysis algorithm was proposed, which provides distributed calculations, and exchanges the results between local nodes in a safe way. The research results of the proposed algorithm demonstrate its high speed and accuracy. The recommender model for improving the Industrial Automation Systems' efficiency based on the modified method was proposed.