- Application Infrastructure & Middleware - Data Visualization
- Automation & Control - Programmable Logic Controllers (PLC)
- Cybersecurity & Privacy - Cloud Security
- Cybersecurity & Privacy - Intrusion Detection
- Cybersecurity & Privacy - Malware Protection
- Cybersecurity & Privacy - Network Security
- Networks & Connectivity - Cellular
- Networks & Connectivity - Gateways
- Sensors - Pressure Sensors
- Sensors - Temperature Sensors
- Equipment & Machinery
- Predictive Maintenance
J.A. Becker & Söhne is a medium-sized German company, that always prioritizes quality and safety. In their old model, a technician travels regularly to the customer’s location to service the compressors. For the international customers, trained service partners assume this regular maintenance role. In case of an issue between the service visits, there is a service hotline at the customers disposal, that is able to solve most of the failures. In cases where the hotline cannot solve the problem remotely, a service technician is sent to the customer. With customers all over the world (including China), this support option is quite time-consuming and very expensive.
With the help of the new Industry 4.0 technologies, J.A. Becker & Söhne saw the opportunity to make maintenance even more efficient. The idea was to use predictive maintenance to identify when a service technician needs to take action on the compressor. By providing a more proactive support model, they could increase resource availability, save money and greatly increase customer satisfaction. „No one could tell us whether flexible maintenance intervals, which are based on the actual condition of the compressor, could also be realized for our products”, remembers Alexander Kraus, Business Unit Manager Compressors at J.A. Becker & Söhne.
Therefore, the company was looking for a solution that would allow them to test compressor data for a reasonable investment and within a limited timeframe. J. A. Becker & Söhne found what they were looking for at Endian, a leading cyber security vendor in the field of Industry 4.0. With the Endian POC kit, they were able to quickly see the business and customer value of centrally collecting and analyzing their digital machine data. All they had to do is connect their test machines to the Internet and Endian takes over the rest of the project. „With the POC kit the costly and time intensive startup phase of Industry 4.0 projects is eliminated”, says Raphael Vallazza, CEO at Endian.
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