Iteration 2 Summary
Business Context: A theme gallery aims to maximize its annual revenue from exhibitions by optimizing the allocation of artists to exhibitions based on their popularity and ticket prices, while respecting constraints on artist availability and exhibition capacity.
Optimization Problem: The gallery needs to decide how many exhibitions each artist should participate in to maximize total revenue, considering ticket prices and expected attendance, while ensuring no artist is overbooked and each exhibition has a minimum number of artists.
Objective: maximize ∑(Ticket_Price_j * Attendance_ij * x_ij) where x_ij is the number of exhibitions artist i participates in in year j
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for missing optimization requirements (Ticket_Price_j and Attendance_ij). Business configuration logic updated with scalar parameters and formulas for optimization constraints and calculations.
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 realistic business scenarios, considering typical ticket prices, artist popularity, and exhibition capacity. Data was generated to ensure a balanced optimization problem with feasible constraints.