Iteration 1 Summary
Business Context: Optimize the allocation of ships to missions to minimize total operational costs while ensuring all missions are covered and ship capacities are not exceeded.
Optimization Problem: Assign ships to missions to minimize operational costs, considering ship speed and tonnage. Each mission must be covered by exactly one ship, and each ship can be assigned to at most one mission at a time.
Objective: minimize total_operational_cost = sum(cost_per_knot[i] * Speed_knots[i] + cost_per_ton[i] * Tonnage[i])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema adjustments and configuration logic updates were made to address the OR expert's mapping gaps and missing requirements, ensuring a comprehensive and optimized database structure.
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 typical operational costs and capacities for ships, ensuring a balance between cost efficiency and mission requirements.