Iteration 3 Summary
Business Context: A construction company aims to minimize the total length of bridges and mills built by architects while ensuring each architect is assigned to at least one project and no architect is overburdened with more than three projects.
Optimization Problem: Minimize the total length of bridges and mills built by architects, subject to constraints on the number of projects each architect can handle and ensuring each architect is assigned to at least one project.
Objective: minimize ∑(length_meters[i] * x[i] + length_feet[j] * y[j]) where x[i] and y[j] are binary decision variables indicating whether bridge i or mill j is built
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include adding tables for decision variables and constraint bounds, updating the data dictionary, and refining business configuration logic to include scalar parameters for minimum and maximum projects per architect.
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 construction project lengths and architect workload capacities, ensuring realistic and meaningful data for optimization.