Iteration 1 Summary
Business Context: Optimize the assignment of drivers to schools to minimize total travel distance while ensuring each school is assigned exactly one driver and each driver is assigned to at most one school.
Optimization Problem: Minimize the total travel distance between drivers' home cities and schools' locations. Each school must be assigned exactly one driver, and each driver can be assigned to at most one school. The problem is formulated as a linear assignment problem.
Objective: minimize ∑(distance[Driver_ID, School_ID] × assign[Driver_ID, School_ID])
Tables Created: 3
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for drivers, schools, and distance matrix. Configuration logic updates include scalar parameters for distance calculation and business logic formulas for assignment constraints.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on realistic geographic distances between cities and school locations, ensuring that the optimization problem remains meaningful and solvable. Driver and school IDs were sequentially assigned to maintain uniqueness.