Our Pre-packaged Simulation Twin Solutions enable manufacturers to save millions in efficiency gains every year by optimizing their sourcing investment strategies based on their cost and revenue structure as well as their operational constraints.
Supply chain managers can easily create a dynamic Prescriptive Simulation Twin of their supply chain network and virtually simulate any scenario, compare various sourcing options and anticipate potential cascading and bullwhip effects of several risks which could impact their final service and inventory levels.
With our powerful optimization algorithms based on simulation, they can find the optimal sourcing investment strategy and get a deeper understanding of the most sensitive parameters to take into account when making these strategic decisions.
How a Forture 500 optimized its sourcing strategy within existing and constrained production facilities.Discover the case study
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