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.
Identification of investment segments and targets in the circular industry for an investment fund
eleven brought its expertise in CSR-related business issues to assist an investment fund in the analysis of key segments of the circular industry as well…