I want my money back, and fast!
The latest version of Weidmüller's machine learning tool for more efficient production concepts ensures optimization of production times through industrial analytics. This is said to translate into a "return on investment time" of just a few months.8 May 2022
We don't really need to say much about Weidmüller Interface at HANNOVER MESSE; with its developments and innovations, the company from East Westphalia is virtually a fixture at the world's largest industrial trade fair. Nevertheless, here are a few key data: With its experienced experts, Weidmüller supports users and partners all over the world with products, solutions and services in the industrial environment of power, signals and data. Weidmüller is constantly developing innovative, sustainable and value-adding solutions, setting new standards in industrial connectivity. In bare figures, this means that the Weidmüller Group has production facilities, sales companies and representatives in more than 80 countries. In fiscal 2020, Weidmüller generated sales of € 792 million with around 4,700 employees.
In order to live up to its reputation as an innovator this year, the East Westphalians are once again bringing one or two innovations with them to Lower Saxony. A new version of the machine learning tool, for example, is intended to provide a future-proof basis for more efficient production concepts. With the expansion stage now presented, the machine and plant manufacturer can independently drive the further development of the analysis models - without having to be a Data Scientist themselves. Since companies can now enter their domain knowledge independently, the existing knowledge about processes and machines remains on site, making Weidmüller's analytics solutions accessible to the classic machine builder and operator. Instead of a specific machine type, as was previously the case, the availability of the machine or a guaranteed number of parts produced with it is the "top seller" in these concepts. According to Weidmüller, optimizing production times through industrial analytics generates directly measurable added value that pays off in a "return-on-investment time" of just a few months.
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