Digital solutions optimise processes and offer support for challenges such as sustainability and the shortage of skilled workers.
If you want to turn data into information, there are many major and minor parameters that need to be adjusted. These include consistency and unified languages. For a complete picture, it is also important for the maximum number of participants in the process chain to think and act digitally. As this article shows, AMB 2022 in Stuttgart will provide a platform for these solutions from 13 to 17 September 2022.
Decision-makers in manufacturing companies need a continuous overview of productivity and technical availability since these are still the key parameters. In addition, the metal-working industry is subject to challenges including sustainability and the shortage of skilled workers, with the latter demanding a creative approach. Digitalisation is said to help overcome these challenges, based on the motto “knowledge is power”. With a growing number of sensors and smart programs, it is becoming possible to collect more and more data about machine tools. Once it has undergone further processing, this data can offer crucial information to help optimise processes.
DMG MORI has delivered some particularly impressive results, backed up by figures: One of the Group’s digitalisation objectives is to be able to start up production faster using the digital twin. In this process, a virtual representation is made of every real machine tool at DMG MORI. Even before installation, this digital twin provides support when engineering production systems with flexible automation capabilities or when delivering training. It offers a dynamic representation of all components, functionalities and axes, as well as all NC and PLC control functions including the relevant cycles. This gives DMG MORI an increase in speed of up to 40% when starting up production. At the same time, costs are reduced by up to 30% and collisions are completely ruled out, which is extremely important to ensuring smooth and efficient operations.
