Implementing Industry 4.0 at Votorantim Cimentos goes beyond their financial gains. They see it is as a necessity to bring knowledge and new discoveries to their day-to-day production.
Avril uses Braincube to quickly crunch through their production data to improve their processes.
A contextualized production data model enabled Owens Corning to experiment with variables without wasting resources. As a result, their process engineers and factory workers collaborate better during each phase of their production process.
Saint-Gobain is scaling their growth with insights discovered in Braincube for a hefty ROI.
Smurfit Kappa originally used Braincube to improve production efficiency after installing a new machine. Now they use Braincube to further improve efficiency at factories that are already highly efficient. As one of Braincube’s longest customers, they’re still finding success a decade later.
Reductions in cost, energy, and waste were only the start for Oji Paper. With a comprehensive understanding of their most important production variables, Oji Paper’s team makes better on-the-fly decisions to stay compliant.
Dow used Braincube to identify root causes to reduce unplanned events and better performance.
Cargill wanted to spend less money operating their oil boiler while maintaining steam output. Cargill’s internal analyses had yet to significantly impact the boiler’s efficiency because they couldn’t identify the optimal set points to improve boiler efficiency without decreasing steam output.
Arjowiggins wanted to use their data in a more meaningful way to help them solve process issues. Braincube built a structured digital twin using Arjowiggins’ historical data. Now, Arjowiggins’ teams are empowered to improve processes and resolve problems on a daily basis.
A large CPG company used Braincube's technologies to uncover the exact settings needed to operate at prime efficiency. This led to better compliance and reduced variability.