Thomas Bangemann

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—The last years we are witnessing of rapid advances in the industrial automation domain, mainly driven by business needs towards agility and supported by new disruptive technologies. Future factories will rely on multi-system interactions and collaborative cross-layer management and automation approaches. Such a factory, configured and managed from(More)
Responding to the dynamic requirements of the changing market and optimising costs are two challenges faced by corporate manufacturing plants globally. In order to be agile, modern manufacturing plants employ optimized supply chain mechanisms to reduce the response time of the market needs. However bringing changes to the shop floor after a production is(More)
Future shop-floors are going to evolve as they need to be able to fully respond to dynamic adaptations and sophisticated interactions with the enterprise systems. This trend is fully backed up by the ever increasing capabilities of the new generation of devices that feature advanced communication as well as computational capabilities. However as the(More)
Industrial automation systems have been established in various domain over the past decades exploiting standards, dedicated to network protocols, resource models, interfaces, programming languages etc. While systems increasingly get networked, the potential of their interactions and collaboration, especially in large-scale and complex settings, may unveil(More)
Within the last decades, industrial automation has become a driving force in all production systems. Technologies and architectures have emerged alongside the growing organisational structures of production plants. Every innovation had to start from the latest state-of-the-art systems within the respective domain. While investigating the introduction of(More)
—Industrial systems are increasingly integrating Internet and other emergent technologies, concepts, methods and tools, coming from the IT world, such as cloud-or service-based approaches. As a first main consequence, the industrial automation landscape is also increasing in complexity, presenting new challenges for engineers and practitioners. Examples(More)