SPS IPC Drives Hall 7, 391 Stand
In the course of digitization, the value chain requires smarter machines and applications. As "Your Solution Partner for Smart Manufacturing" shows up Mitsubishi Electric as a partner for all areas of the networked value chain.
As the first link in the value chain, engineering has an influence on the possible margin. Best support for this is provided by the latest version of the Mitsubishi Electric Scada system "Maps 4", which uses object-oriented functions to easily integrate and visualize one's own devices and third-party equipment into networks. The tool enables fast deployment, seamless cloud connectivity, and high-level scalability.
For the Manufacturing division, the automation company has solutions that can be intelligently automated at various levels of production. These include integrative robotic technology, such as the current entry-level Scara robot package, the Linear Transfer System (LTS) and its Smart Carriages for optimized intralogistics as well as the comprehensive "Menergy"Concept for energy measurement and efficient load management.
Maintenance in times of industry 4.0 means value retention through predictive maintenance. In addition to an integrated AR application for robot maintenance, the manufacturer offers GOT Drive for machine diagnostics. In this case, a servo drive or frequency converter communicates friction and vibration data without external sensors directly to an operator panel of the "GOT2000"-Series. In addition, with the GOT Mobile version production data can be requested anywhere and alarm messages can be received via mobile phone, tablet or PC.
As part of strategic collaborations with specialized technology partners, Mitsubishi Electric is also developing applications to increase efficiency in the value chain. For example, manual workstations based on the Japanese zero-error principle 'Poka Yoke' or a compact robot application for equipping machine tools were developed. With these and other solutions, Mitsubishi Electric supports companies in the planning and implementation of forward-looking smart manufacturing projects.