Iteration 2 Summary
Business Context: A university is optimizing the allocation of students to various clubs to maximize student engagement, considering constraints such as club capacity and student preferences.
Optimization Problem: The objective is to maximize the total engagement score by assigning students to clubs based on their preference scores, while ensuring that no club exceeds its capacity.
Objective: maximize sum(preference_score[StuID, ClubID] * assignment[StuID, ClubID])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating a table for decision variables, updating configuration logic for scalar parameters and formulas, and ensuring all optimization requirements are mapped.
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 university club sizes and student preferences, ensuring a diverse range of preference scores and club capacities to create a meaningful optimization problem.