Iteration 1 Summary
Business Context: A film distribution company aims to maximize its total gross revenue from films across different markets. Each film has estimated revenue ranges in different markets, and the company needs to decide which films to distribute in which markets to maximize revenue while considering market-specific constraints such as budget limits.
Optimization Problem: Maximize the total gross revenue from distributing films across various markets, considering the estimated revenue ranges for each film-market pair and adhering to budget constraints.
Objective: maximize total_gross_revenue = sum(Low_Estimate[i,j] * x[i,j])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating a new table for decision variables, modifying existing tables to ensure all optimization requirements are met, and updating business configuration logic for scalar parameters and formulas.
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 revenue estimates for film distribution in various markets, ensuring a mix of high and low estimates to reflect market variability. Budget limits were set to allow for strategic decision-making without trivializing the optimization problem.