USING ARTIFICIAL INTELLIGENCE TO INCREASE THE EFFICIENCY OF BUSINESS PROCESSES IN ELECTRONICS INDUSTRY ENTERPRISES (BASED ON THE EXAMPLE OF PRODUCT QUALITY CONTROL)

Abstract

In the current conditions, the development of the domestic electronics industry is important for the entire industry as a whole. This is due to the fact that currently almost any manufactured technical product contains electronic components and, in the future, the demand for electronic products will only increase. In addition to production volumes, the quality of electronic components is of great importance, which, unfortunately, is still inferior to imported products. The existing lag is associated not only with the technical and technological lag, the general production culture, but also with the low efficiency of business processes occurring at enterprises in the electronics industry. One of such processes is product quality control. This work is devoted to increasing the efficiency of the product quality control process through the use of artificial intelligence. The article discusses existing methods of product quality control at electronics production plants and describes the process of creating a board at one of the electronics production plants. The work proves that the use of the optical control method together with artificial intelligence can significantly increase the efficiency of the business process under consideration. As an example, the process of analyzing an electronic component based on the use of video vision is presented. The use of artificial intelligence for quality control at electronics industry enterprises will reduce the cost of defects and identify possible “weak points” in the production process.