Start with a question.
Test the possibilities.

Start with the system you want to improve and the choice you need to make. Agree on measures of success, practical constraints, and what is within your control.

Represent entities moving through activities, queues, and resources over time. Use observed data where available, and record assumptions about arrivals, service times, and operating rules.

Review the model with people who know the operation. Check that its behavior and outputs reasonably reflect the current system before using it to compare changes.

Use AI to help frame questions, propose scenarios, and interpret comparisons. Keep each proposed change explicit and test it in the simulation. Review suggestions against operational constraints.

Run scenarios repeatedly, examine variability, and test sensitive assumptions. Compare progress toward the goal alongside cost and other tradeoffs. Use the findings to guide a practical trial or further investigation.