Endian Case Study - Roth-Gruppe

Big Data and Predictive Maintenance

Predictive maintenance refers to techniques that help determine the condition of in-service equipment in order to predict and/or optimize when maintenance should be performed. Predictive maintenance is one of the most important benefits of the Industry 4.0 revolution. By consolidating the machine data from many different locations in a central place, the optimization of machines and production processes is possible. Thanks to a remote maintenance solution from the Roth Group including components from Endian and the cloud solutions from Amazon Web Services, customers in any industry can benefit today from the advantages of digitization.

“The solutions of Endian and Amazon Web Services helped us increase our efficiency in support as well as customer satisfaction”, confirms Armin Roth, CEO of Roth Sondermaschinen and Roth Steuerungstechnik. „As a medium-sized company, we are thus successfully using the possibilities of the digital transformation to further expand our market position as a service provider.”

Founded in 1984 the Roth Group develops individual automation solutions for its customers from various industries. With its companies Roth Steuerungstechnik GmbH, Roth & Schoder GmbH and Roth Sondermaschinen GmbH the corporate group covers the entire automation workflow – from software engineering (robots, SPS, NC), hardware project planning, control cabinet solutions, PC based automation to manufacturer-independent system integration for special machines. The experience is used both for new plants as well as the retrofit of existing plants across their customer projects.

The Roth Group were early adopters and a leader in the use of predictive maintenance as they recognized the advantages it could provide to their customers. By using big data, the Roth Group’s service increases the availability of its customers’ facilities. For the last several years, they are taking advantage of the benefits in order to reduce their response time and the customer maintenance costs.

Prior to implementing predictive maintenance, a technician had to drive to the customer for maintenance purposes or in the case of any disturbances. This was time-consuming and expensive. With the aim of further optimizing the service, the Roth Group was looking for a solution that could be used to analyze data from machines at different locations in a central database and thus enable predictive maintenance...

  To date predictive maintenance is often only used by large and international companies. In combination with the products of Endian and Amazon Web Services our solution enables mid-sized companies to improve their service by using predictive maintenance.

Armin Roth

CEO of Roth Sondermaschinen and Roth Steuerungstechnik

  Thanks to Endian we reached two important goals: we maximized our staff working activities while reducing our organization response – time, always keeping the same high quality level support for our customers.

Stated Elena Lattuada

IL Customer Service Director

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