Challenges of the application of machine learning in the serial production

Abstract

The industrial applications of the machine learning methods have promising results in the field of smart manufacturing and quality assurance; however, the development of these models have challenges. In this paper we present the classical steps of model creation and the challenges and questions of industrial applications in each step, especially for series production. Finally, we present a possible workflow for model development in the manufacturing.

The industrial applications of the machine learning methods have promising results in the field of smart manufacturing and quality assurance; however, the development of these models have challenges. In this paper we present the classical steps of model creation and the challenges and questions of industrial applications in each step, especially for series production. Finally, we present a possible workflow for model development in the manufacturing.