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Realising Visions – TGW Presents Digital Twin At LogiMAT 2020

Published on Feb 6 2020 3:37 PM in Technology tagged: LogiMAT / TGW / World News / Rovolutions

Realising Visions – TGW Presents Digital Twin At LogiMAT 2020

Systems integrator TGW has had success in the marketplace with its portfolio of solutions for many years.

TGW's hallmarks as a leading intralogistics specialist include its software, which offer a high level of planning and project management expertise, its fast and reliable service organisation as part of Lifetime Services, and perfectly-matched mechatronic components.

However, TGW is thinking even further ahead – and putting the focus on digital services.

“TGW has developed into a successful system integrator and is proud of its 50 years of experience in developing mechatronic products,” says Christoph Wolkerstorfer, CSO of the TGW Logistics Group.

“We are now taking the next step in our evolution by digitalising our products. TGW is evolving intralogistics consistently and linking system and solutions expertise with expert software and digital services.”

For TGW, the 2018 edition of LogiMAT was all about Rovolution, the innovative robotic order-picking solution that had its world premiere in Stuttgart. The self-learning pick robot has since been given a major upgrade and will soon be put into regular operation by its first customers.

Rovolutions' Digital Twin

Rovolution is a central part of FlashPick® and OmniPick® – TGW's solutions for automatic split case picking and zero-touch pocket sorting, respectively.

At LogiMAT 2020, TGW is continuing on its course of progress and adding Rovolution's 'digital twin' to its production line. This is a complete digital representation of the Rovolution order picking solution, which is connected to the physical installation in real time and grows with it.

With its help, you can analyse data, learn from it and visualise it, via 3D models. This means that as well as monitoring Rovolution's current condition, users can also look back at previous operations, via a replay function, to detect the cause of unexpected events.

Furthermore, it will also be possible to look into the future, to predict when certain maintenance tasks have to be carried out, for example.

Users can benefit from real time performance data, a high level of transparency and increased productivity.

Visit TGW at LogiMAT 2020, Hall 5, Booth C61.

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