Iteration 1 Summary
Business Context: A global logistics company wants to optimize the distribution of goods across various cities in different countries to minimize transportation costs while ensuring demand is met in each city.
Optimization Problem: The company needs to minimize the total transportation cost of distributing goods from a central warehouse to various cities. The objective is to determine the optimal quantity of goods to be shipped to each city, considering the demand in each city and the transportation cost per unit.
Objective: minimize total_transportation_cost = sum(transportation_cost_per_unit[i] * quantity_shipped[i])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization data and updating configuration logic for scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Refine mapping of transportation costs and capacity constraints
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
