Iteration 2 Summary
Business Context: An airline aims to minimize the total cost of operating flights while ensuring that all flights are staffed with certified employees and that aircraft are not overutilized. The optimization problem is formulated as a linear programming model to ensure computational efficiency and scalability.
Optimization Problem: The airline needs to decide the number of flights to operate between different origins and destinations, considering aircraft availability, employee certifications, and cost constraints. The objective is to minimize the total operational cost, which includes flight costs and employee salaries. The problem is formulated as a linear programming model with linear objective and constraints.
Objective: minimize ∑(price[flno] × x_flight[flno]) + ∑(salary[eid] × y_employee[eid])
Tables Created: 0
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for flight costs and employee salaries to address missing optimization requirements. Business configuration logic updated to include scalar parameters for flight costs and employee salaries.
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 industry standards for flight costs and employee salaries, ensuring they align with typical airline operations. Flight numbers and employee IDs were generated sequentially to maintain consistency.