DMG MORI's WERKBLiQ Platform Streamlines Production Maintenance Management
DMG MORI’s WERKBLiQ platform is designed to simplify and streamline maintenance processes in production.
Share






DMG MORI’s WERKBLiQ platform is designed to simplify and streamline maintenance processes in production. As Managing Director Tim Busse explains it, “WERKBLiQ allows machine operators to visualize all structures and processes of the maintenance organization digitally and independently of manufacturer. This also includes the internal and external interaction channels and the entire contract and documentation management.” Employees record and document all activities and processes on the machinery during their day-to-day work. They are supported by customizable and interactive input masks. The press of a button alerts internal maintenance directly from the machine in the event of a breakdown and triggers the saved service process.
According to DMG MORI, even machines without a network connection can be integrated and managed in WERKBLiQ via mobile end devices. Implementation usually takes under 48 hours.
Continuous documentation and recording of data on the shop floor enable end-to-end transparency in the subsequent process. The WERKBLiQ evaluation module enables maintenance and production managers to evaluate relevant key indicators and use the results to implement continuous improvements.
Related Content
-
Four Questions (& Answers) About Data-Driven Process Improvement at CNC Job Shops
How can shops can make informed decisions using data-driven feedback to improve shopfloor efficiency and profitability? And how will these technologies differ between high- and low-volume production?
-
Easy-To-Install Data Acquisition System for Real-Time Monitoring Across Brands
cnSEE from All World Machinery Supply combines easy installation and monitoring across multiple machines.
-
JIMTOF 2024 Report: EVs, AI and Autonomous Robots Abound
The 2024 Japan International Machine Tool Fair (JIMTOF) showed how the manufacturing industry is adapting to the needs of electric vehicle manufacturing and adopting new technology including AI and autonomous robots.