See where you are exposed before you commit.
What the evidence means
A resilient plan balances the costs represented in the model against service and risk constraints. Fresh challenge futures test the frozen plan; they do not prove protection against every possible event. A solver gap applies to the stated optimization model, and is not a guarantee of real-world performance. Scope and data must be validated before a demonstration.
Sense what you cannot control. Shape what you can.
Represent relevant uncertainty as ranges grounded in transaction history and explicit business assumptions. Validate the supported drivers, data quality and dependencies for the decision in scope; not every range is automatically learned from history.
Those are the things you sense. The things you shape are commitments, capacity, price and terms, sourcing and protection. Both meet in one decision, under one policy.
Best, base and worst is three guesses. Many possible futures is a map.
Use coherent future conditions grounded in the selected ranges and risk assumptions. Validate shared causes and dependencies explicitly; testing many futures does not establish that every important event or correlation has been modeled.
The point is not to predict which future arrives. It is to see which commitments hold across them, and where the business is exposed.