AI & Digital Manufacturing Analytics worked example
Digital Twin Scenario Throughput at 97% usable scenario result efficiency: a worked example
Push usable scenario result efficiency up to 97% and the picture changes. This example computes every intermediate figure at that operating point. a simulation engineer needs to measure how many usable digital twin scenarios can be evaluated per hour
The inputs for this scenario
- Completed digital twin scenarios: 320 scenarios (unchanged)
- Simulation runtime: 14 hr (unchanged)
- Usable scenario result efficiency: 97 % (raised for this scenario; the documented default is 84)
Working through the calculation
- Applying the documented formula (Raw scenario throughput = completed scenarios รท simulation runtime) to the inputs above produces each figure below.
- At this operating point the engine returns 22.17 scenarios/hr for usable scenario throughput, the number this scenario is built around.
- At this operating point the engine returns 22.86 scenarios/hr for raw scenario throughput.
- At this operating point the engine returns 97 % for usable result efficiency.
- At this operating point the engine returns 14 hr for simulation runtime.
How this compares with the baseline
- Against the tool's baseline example, where usable scenario result efficiency sits at 84% and the headline result is 19.2 scenarios/hr, this scenario comes in 15.48% above the baseline at 22.17 scenarios/hr.
- It computes the number of usable, decision-ready digital twin scenarios completed per hour after applying result efficiency to the raw completion rate. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.
Results at a glance
- Usable scenario throughput: 22.17 scenarios/hr (headline result)
- Raw scenario throughput: 22.86 scenarios/hr
- Usable result efficiency: 97 %
- Simulation runtime: 14 hr
Run it with your numbers
- Every input above is editable in the live Digital Twin Scenario Throughput calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.