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Digital Twin Technology Reduces Commissioning Times

ABB’s PickMaster aims to shorten commissioning times from days to hours.

ABB Robotics has launched the third generation of PickMaster®, its robotic software for vision-guided random flow picking and packing applications for the digital Factory of the Future. On display at PACK EXPO, The new PickMaster Twin software is equipped with digital twin technology for the first time, to shorten commissioning times from days to hours and cut changeover periods from hours to minutes, according to the company.

 

Digital twin technology allows customers to test out robotic configurations on virtual production lines before physical lines are built. When using digital twin technology, the simulated twin can be directly connected to production operations, which allows the picking process to be optimized virtually at the same time as the process is being implemented. For customers, PickMaster Twin now offers more flexibility and visualization of all complicated robotic maneuvers designed for flow-wrapping, tray-loading, case and carton packing, and handling applications.

 

Enabling offline programming of picking and packing tasks means users can create, simulate, and test a complete robot installation in a virtual environment without having to disturb their actual production line. This not only helps customers mitigate costly and time-consuming risks but also shortens the time to market for new products, as product lines can be installed faster.

 

PickMaster Twin also condenses and enhances the advanced application experience with new intuitive interfaces built on ABB’s AbilityTM Zenon Operations Data Management, providing vibrant and colorful dashboards for easy data visualization. In addition, PickMaster Twin complies with the OMAC PackML (packaging machine language) standard, which makes it ideal for modern packaging machines. The latest PickMaster software also features online visual tuning of the workspace in both X and Y directions in order to maximize output and increase overall equipment effectiveness (OEE).

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