Iteration 1 Summary
Business Context: A sports organization is optimizing the allocation of matches to cities to maximize GDP impact while ensuring matches are held in cities with suitable temperatures for each month.
Optimization Problem: Allocate matches to cities to maximize total GDP impact, ensuring temperature suitability for each month.
Objective: maximize total_GDP_impact = sum(city.GDP * is_allocated[match_id, city_id])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating a new table for decision variables, modifying existing tables to include temperature suitability ranges, 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: 2

Triple Expert Data: Values were determined based on typical GDP contributions of cities and realistic temperature ranges for sports events, ensuring a diverse set of cities and conditions.