Generative AI in Manufacturing Systems: Reference Framework and Use Cases

This paper aims to enhance the competitive edge of manufacturers through increased efficiency, propelled by digitalization and the implementation of artificial intelligence (AI) applications. A key focus is on Generative AI, a growing topic of discussion in the AI domain. However, a common definition for Generative AI within the context of manufacturing systems is lacking. This paper seeks to establish a clear definition for Generative AI in manufacturing systems, and subsequently structures potential application fields and objectives within a GenAI reference framework. In this context, a framework is proposed to characterize use cases within manufacturing systems, providing crucial guidance for manufacturers looking to leverage Generative AI. The theoretical background explores the definition of manufacturing systems and the intersection between data analytics and AI. Furthermore, the paper discusses varying definitions of Generative AI, and derives a definition suitable for manufacturing systems.