Simio Simulation and Scheduling Software

42% less inventory. 100% service level maintained. Even during a pandemic.

That’s what Demand-Driven MRP achieved versus traditional planning in a recent Deloitte study. The difference? DDMRP responds to actual demand signals instead of chasing forecasts that are often wrong.

Traditional MRP creates a painful paradox—overstocks and shortages happening at the same time. The bullwhip effect amplifies every forecast error. And static lead time assumptions crumble when disruptions hit.

In this Simio Short, discover how demand-driven planning uses strategic buffer positioning to disconnect lead times, reduce expediting costs, and keep materials flowing when you need them—not when a forecast said you might.

Process documentation ages quickly. Process Digital Twins don’t. In this Simio Short, see how living, data‑connected models help teams test changes, identify constraints, and plan with confidence.