Iteration 2 Summary
Business Context: A flight company aims to optimize the allocation of its flights to different airports to minimize the total operational cost while ensuring that each airport can handle the assigned flights within its capacity.
Optimization Problem: The objective is to minimize the total operational cost of flights by optimally assigning flights to airports. The cost is influenced by factors such as distance and airport fees. The company must ensure that each airport does not exceed its capacity and that all flights are assigned to an airport.
Objective: minimize total_cost = sum((distance * fee_rate) * x_ij) for all flights i and airports j
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding tables for distance and fee rate data, updating business configuration logic for cost coefficient formula, and ensuring all tables have at least 3 rows of data.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 1

Triple Expert Data: Values were determined based on typical distances between major airports and realistic fee rates charged by airports. Capacities were set to reflect typical airport operations, ensuring a balance between demand and supply.