Capacity & Build-Out Planning
Scenario modeling that turns demand forecasts into line-hours, tooling, and headcount across upside and downside cases — so capital decisions face the full range.
Results
The Problem
Capital and capacity decisions — adding a line, expanding a facility, committing to tooling — are made against demand projections that live in a spreadsheet and represent one scenario. The downside case, the upside case, and the probability of either rarely make it into the decision.
What We Build
Scenario modeling that connects demand forecasts to capacity requirements, translating projected volume into line-hours, tooling needs, and headcount under multiple demand paths. Outputs are probabilistic rather than a single number, so a build-out decision can be evaluated against the range of outcomes it has to survive.
Outcome
- ◆Capacity requirements modeled directly from demand forecasts rather than assumed
- ◆Investment decisions evaluated across demand scenarios with explicit confidence ranges
Techniques
- ◆Monte Carlo scenario simulation
- ◆Constraint modeling
- ◆Demand-to-capacity translation
- ◆Sensitivity analysis