This dissertation focuses on addressing the technical challenges of non-stationarity in smart
factories through the use of cyber-physical AI agents. Industry 4.0 and smart manufacturing …

Industry 4.0 is part of the German high-tech strategy and was proposed as a guideline for
cooperations and science to guide their innovations toward a common social and …

Volatility and uncertainty of today's value chains along with the market's demands for low-
batch customized products mandate production systems to become smarter and more …

In the evolving landscape of the fourth industrial revolution, the integration of cyber-physical
systems (CPSs) into industrial manufacturing, particularly focusing on autonomous mobile …

This open access book presents a rich set of innovative solutions for artificial intelligence
(AI) in manufacturing. The various chapters of the book provide a broad coverage of AI …

Increased volatility continues to challenge the automotive manufacturer's production
performance. More than a century after the start of mass production, changeable production …

AI allows businesses to create new production processes and optimize existing methods.
Using the right AI software, businesses can make highly customized things—ranging from …

Multi-agent-based manufacturing (MABM) is a cutting-edge system that harnesses
autonomous agents to boost modern production processes. By combining decentralization …

Modern manufacturing networks consist of cyber-physical systems (CPS) which offer an
array of interesting capabilities, ranging from local computation over data generation to …

Manufacturing companies face different challenges like rising complexity of their
manufacturing operations, the need to quickly develop and produce individualized products …