3M, Minnesota Mining and Manufacturing Company. It all started with the extraction of minerals from the mining in Minnesota for the fabrication of sandpaper. Nowadays 3M develops and produces a wide variety of innovative products which you can find almost everywhere in everyday life. To continue this innovative approach and to continuously improve their quality standards, 3M requires the best historical, real-time & future insights in their production processes. For that reason, 3M decided to call on our Operational Intelligence services.
Project
Upgrade of manufacturing data infrastructure, process visualisation and reporting.
Reason
3M wanted to increase the use of production data to get new and better insights in all manufacturing processes through asset analytics, active reporting and real-time process supervision
3M was in search of a tool with new expandable capabilities in the field of connectivity, reporting and process analytics
The preferred data management system needed to be non-black boxed, adopted and used by all stakeholders.
Use of the historian should below-level entry and easy to adopt.
Case study
BluePrint definition following the required infrastructure for connectivity to multi-levelled control system connections.
System installation for new historian (OSIsoft PI), following blueprint and security definitions.
Existing data collection in order to provide historical data.
Data Migration and backfilling of required calculations.
Documentation and contextualisation of manufacturing process structure
(allowing easy navigation through process & equipment data).
Real-time Visualisation setup on web-based platform.
Training – user adoption to hand-over system maintenance and administer the solution.
Benefits
Centralisation of Data: all data lives in one system solution (PI).
Availability of a user-friendly day-to-day tool for operations, management and high level reporting.
Process insights on and clear visuals of the involved (batch) processes.
Trained end-users & support from AG Solution resulting into a high return on solution.
PI training to support development of future solutions in the historian.
Solutions for non-standard data inputs and migration techniques.
Ability to extend the data system with additional open solutions to achieve KPI targets on different levels.
