Iteration 2 Summary
Business Context: A shipping company aims to minimize the total operational cost of its fleet while ensuring that each ship meets specific mission requirements. The company needs to allocate ships to missions based on their tonnage, speed, and nationality constraints.
Optimization Problem: The objective is to minimize the total operational cost of the fleet, which is a linear combination of the cost associated with each ship's tonnage and speed. The constraints ensure that each mission is assigned to exactly one ship, each ship is assigned to at most one mission, and the ship's tonnage and speed meet the mission requirements.
Objective: minimize ∑(c_tonnage * Tonnage_i + c_speed * Speed_knots_i) * x_ij
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added a new table for ship-to-mission assignments to address the missing decision variable x_ij. Updated the data dictionary and business configuration logic to reflect these changes.
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 shipping industry standards, ensuring that ships meet mission requirements and that the optimization problem remains solvable. Parameters were set to reflect typical operational costs and constraints.