Author: Timo Bertsch Companys must continuously improve their operations or face closure. As Abrahamson argues, it is simply a case of “change or perish” [1]. This statement is already 20 …
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 These nanoMES close the gap left by outdated or missing or incomplete MES systems.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 @ …
