Iteration 1 Summary
Business Context: An airline company aims to optimize its flight schedule to minimize operational costs while ensuring all scheduled flights are covered by available aircraft and adhering to airport capacity constraints.
Optimization Problem: The objective is to minimize the total operational cost of flights by selecting the optimal set of flights to operate, considering constraints such as aircraft availability, mandatory flight coverage, and airport capacity limits.
Objective: minimize total_operational_cost = sum(Cost[FlightNo] * x[FlightNo] for all FlightNo in FlightCosts)
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization data, modifying existing tables to fill mapping gaps, and updating business configuration logic for scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on typical operational costs for flights, realistic airport capacity constraints, and airline operational limits to ensure a balanced and solvable optimization problem.