ANALYSIS OF AI APPLICATION FOR AUTOMATION AND OPTIMIZATION OF PRODUCTION PROCESSES IN ELECTRONICS

UDC 621
DOI: 10.36871/ek.up.p.r.2024.08.05.002

Authors

Ildar M. Safarov,
Kazan State Energy University, Kazan, Russian Federation

Abstract

This paper examines current approaches to the application of artificial intelligence (AI) to automate and optimize manufacturing processes in electronics. Particular attention is paid to methods that improve solar energy forecasting, production line management, quality control, and energy consumption. The results of AI success are presented, and the challenges associated with integrating data technologies into continuous manufacturing systems are analyzed. The benefits and challenges of AI application are discussed, and directions for ongoing research and development are provided.

Keywords

artificial intelligence, automation, optimization, manufacturing processes, electronics, production management, quality control, digital twins, energy forecasting