A day in the life
- Meet with planners to clarify constraints like staff rules, service levels, and costs
- Pull data, check quality, and prepare inputs for models and scenarios
- Build and run optimization or simulation, then review results for realism
- Share findings, answer questions, and agree on next experiments or rollout steps
Tools you will use