AI for mining company

Challenge

The goal of the initiative was to demonstrate AI value for metallurgic fusion, and build an AI factory with a decent time-to-market operating model & governance to support AI at scale. Producing a metal of better quality with the same resources

Solution

Together with Capgemini Invent, the company created a C-Level sponsored use case roadmap, prioritized by business value, with value tracking to monitor gains.

In parallel, a pragmatic data governance approach was designed, with prioritization of data domains according to client needs and priority use cases.

Capgemini Invent helped reaching alignment of IT / Digital stakeholders on a best in class operating model, able to deliver “live products” in less than 4 months time-to-market.

Results

The manufacturer was able to deliver more than 10 projects worldwide (in Asia, Africa, Europe, and many more) best in class methodologies including: continuous process optimization, energy reduction, and discrete manufacturing optimization.

• One of the project’s value in Fusion control for Nickel alloys production resulted in:
• 40% reduction in FeSi consumption
• 25% to 50% reduction in furnace production
• 0 to -25% reduction in dopant consumption
• Annual cash flow savings: €2,1M.