Iteration 1 Summary
Business Context: A sports league is optimizing the scheduling of games to maximize attendance while minimizing player injuries. The league aims to balance the number of home games played at each stadium with the average attendance and the number of injuries reported.
Optimization Problem: The objective is to maximize total attendance across all games while ensuring that the number of home games at each stadium does not exceed its capacity and minimizing the risk of injuries. The decision variables include the number of games scheduled at each stadium and the allocation of games to minimize injuries.
Objective: maximize total_attendance = ∑(Average_Attendance[stadium_id] × Home_Games[stadium_id]) - ∑(Risk[game_id] × Scheduled[game_id])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding missing tables for injury risk and game schedule, and updating configuration logic for scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on typical stadium capacities, average attendance figures, and realistic injury risks in sports leagues. The approach ensures that the optimization problem is both meaningful and solvable by balancing attendance and injury risk.