The question of the benefits of autonomous control is more important than ever: production
managers, governments and society hope that the vision of smart and digital production …

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

Smart factories are an appealing vision, addressing ever increasing challenges in industry.
Driven by advances in microcontroller, sensor and networking technologies, all entities …

The availability of cyber-physical systems (CPS) in modern manufacturing networks
provides a multitude of interesting opportunities from a manufacturing control perspective …

The concept of Industry 4.0 offers the opportunity to revamp and revolutionize the current
production with a new vision of digitization of current production systems. A fundamental …

Centralized approaches are often employed to control manufacturing networks in practice.
The introduction of industrial cyber-physical systems driven by advances in microcontroller …

Cyber-physical systems have become increasingly common in recent years, providing a
multitude of information regarding production processes. At the same time, increasing …

The increasing application of cyber-physical systems creates a manufacturing environment
in which the technical requirements for distributed control approaches, self-learning systems …

Industrial production was faced with increasing challenges in the last years. Market volatility,
rising energy costs and disrupted supply networks resulted in an ever-increasing information …

This papers studies the synergistic potentials of machine learning and distributed control
approaches in a job-shop setting. We utilize a multi-agent based discrete-event simulation to …