Iteration 1 Summary
Business Context: A cinema chain wants 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(schedule[Cinema_ID, Film_ID] * schedule[Price])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding a new table for decision variables, modifying existing tables to fill mapping gaps, and updating configuration logic for scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Refine the estimation of demand and incorporate additional constraints based on historical data
Mapping Adequacy: partially_adequate
Business Configuration Parameters: 2
