The nanoMES as the modern data hub for Industry 4.0
Cloud based MES with services limited to the core are emerging in Industry 4.0. These nanoMES close the gap left by outdated or missing or incomplete MES systems. With their …
Cloud based MES with services limited to the core are emerging in Industry 4.0. These nanoMES close the gap left by outdated or missing or incomplete MES systems. With their …
Predictive Maintenance programs to increase equipment productivity are a fashion trend of the current time. However, doubts about this approach are growing. Having the equipment and process data centrally available …
Many industrial nations are pushing for the implementation of artificial intelligence in the economy – and they outdo themselves with funding programs. Germany is in the lead in terms of …
In the future, human and machine in the form of human and artificial intelligence or skills will share the work of increasing equipment productivity. Where are the tasks of the …
Changeover times play a major role within the losses of equipment effectiveness. The Toyota Production System devotes a significant chapter to reducing changeover losses with the SMED methodology. But how …
Artificial intelligence, machine learning and neural networks are major topics in the future of industrial productivity. Much is discussed at the headline level. In this article, we’ll give you an …
Productivity improvements are a perennial favorite in the manufacturing industry. Whether costs should be lowered to increase competitiveness, the required labor simply is not available or an equipment has become …
In addition to his work as a consultant at the Institute for Productivity KG in Aachen, Germany, Joern Steinbeck is also the founder of oee.ai. He was interviewed by Ravi …
At the end of November 2018 we had, represented by our managing director and co-founder Prof. Dr. Markus Focke, the opportunity to give a keynote at the Smart Factory @ …
The data flow of plant productivity is speaking, but we humans do not listen. In the future, artificial intelligence will be able to identify the signal in the noise, that …