Iteration 2 Summary
Business Context: Optimize dormitory assignments to minimize the total distance students travel from their home cities to their assigned dorms, while respecting dorm capacity and gender constraints.
Optimization Problem: Minimize the total distance traveled by students from their home cities to their assigned dorms, subject to dorm capacity limits and gender matching constraints.
Objective: minimize ∑(distance[student_id, dorm_id] * assign[student_id, dorm_id])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added Assignment table for decision variables, updated data dictionary, and ensured all optimization mappings are complete.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 0

Triple Expert Data: Values were determined based on realistic dormitory scenarios, considering typical student populations, dorm capacities, and geographical distances. Gender constraints and assignment logic were respected to ensure feasibility.