Nasazení umělé inteligence pro podporu predikování rozměrových odchylek karoserie.

Abstract

This Bachelor thesis looks at linking traditional quality management with modern digital technologies and artificial intelligence tools in the context of Industry 4.0 and Quality 4.0. The theoretical part describes the historical development of quality, its conception in modern conditions and the continuity of statistical methods that form the basis for the analysis and management of process deviations. Digital technologies and the use of artificial intelligence in quality management are also presented. The next part of the thesis is focused on analysis of the current state in selected organization in the area of monitoring, quality management and possibilities of implementation of predictive tools using AI. The aim of the work is to highlight how a combination of traditional statistical approaches and modern technologies can contribute to increasing the efficiency of quality management and early detection of potential variations. Subsequent examples set out in this work should demonstrate that the integration of artificial intelligence into a quality system has significant potential, particularly in predictive management and decision-making, and that it represents another step towards transforming quality in the era of digitalisation.