Iteration 2 Summary
Business Context: A university aims to optimize the assignment of students to dormitories by minimizing the number of students with allergies assigned to non-allergy-friendly dormitories, considering dormitory capacities.
Optimization Problem: The university needs to assign students to dormitories such that the number of students with allergies assigned to non-allergy-friendly dormitories is minimized, while respecting dormitory capacities and ensuring each student is assigned to exactly one dormitory.
Objective: minimize sum(allergy_penalty.penalty_value * student_dormitory_assignment.assignment)
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating a table for decision variables and updating configuration logic for scalar parameters and formulas based on OR expert mapping analysis.
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 dormitory capacities, common allergy considerations, and realistic penalty values to ensure a meaningful optimization problem.