The automotive industry is facing some of its biggest challenges to date. The unexpected event of Covid-19 has not just caused supply chain disruption, but also volatile market conditions. This can be compounded by a historical lack of visibility between OEMs and suppliers. Automotive companies are well-placed to weather hardships, recovery needs to be swift and data-driven. A Simulation Digital Twin provides the right fit for these challenges in determining an agile, resilient supply chain built with existing capabilities, for manufacturing efficiencies.
How a car manufacturer extended their car production with the same capacities, considering a volatile demand, a complex production process, and production flow bottlenecks.Discover the case study
How an international car manufacturer built an optimal OPEX/CAPEX asset investment plan to replace and renew obsolete equipment and control risk exposure.Discover the case study
How a car manufacturer took into account complex production sequences and met the needs of their dynamic supply chain.Discover the case study
Thanks to Cosmo Tech, our entire network is modeled. When the S&OP process gives a new direction, we can modify the digital twin to quickly get the best production scenario. Every month, we adapt it according to the gap observed between forecasts of customer demand and reality.