Reduction of raw material requirements | Eleven

Reduction of raw material requirements

Streamlining of sprinkler network production processes to reduce steel requirements and reduce unusable scrap while optimizing team time spent on network generation

Thanks to their knowledge of reinforcement learning and generative design methods, Eleven’s consultants have helped a major player in sprinkler installations (fixed sprinkler installations) to considerably reduce the steel requirements for the production of networks at the client’s premises, in particular by limiting the amount of unusable raw material scrap and therefore overproduction at the suppliers’.

In addition to resource savings, this new “data augmented” production model has saved over 17,000 hours of work time for the engineers thanks to improved operational efficiency, and a 20% increase in projects won thanks to a faster, more accurate and more appropriate response to calls for tender.

For more information: contact Stéphane Maviel or read this article

Reduction in the amount of steel needed to produce sprinkler systems


saved per year in engineering time


more projects per year for the customer

Reduced unusable scrap and overproduction at suppliers

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