Iteration 1 Summary
Business Context: A sports league aims to minimize the total number of injuries across all games while ensuring that stadiums operate within their capacity limits and maintain a minimum average attendance.
Optimization Problem: Minimize the total injury risk across all scheduled games, subject to constraints on stadium capacity and minimum average attendance.
Objective: minimize ∑(Injury_Risk[g] × Game_Scheduled[g]) where Injury_Risk[g] is the risk of injury in game g and Game_Scheduled[g] is a binary decision variable indicating if game g is scheduled.
Tables Created: 3
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for injury risk, game scheduling, and stadium usage. Configuration logic updates include scalar parameters for stadium capacity and minimum average attendance, and formulas for injury risk calculation.
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 realistic sports league scenarios, considering historical injury rates, stadium capacities, and attendance trends. Data was generated to ensure a balance between minimizing injury risk and meeting attendance and capacity constraints.