Iteration 2 Summary
Business Context: A cinema chain aims to maximize its revenue by optimally scheduling films across its cinemas, considering the capacity of each cinema and the number of show times available per day.
Optimization Problem: The goal is to maximize the total revenue from film screenings across all cinemas by deciding how many times each film should be shown in each cinema, subject to constraints on cinema capacity and available show times.
Objective: maximize total_revenue = sum(film_schedule[Cinema_ID_Film_ID] * film_pricing[Cinema_ID_Film_ID])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding a new table for objective coefficients, modifying existing tables to fill mapping gaps, and updating configuration logic for scalar parameters and formulas.
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 typical cinema operations, considering average cinema capacities, typical pricing strategies, and realistic scheduling constraints.