Iteration 1 Summary
Business Context: The gallery aims to maximize revenue from exhibitions by optimizing ticket pricing and scheduling based on artist availability and attendance capacity constraints.
Optimization Problem: Maximize total revenue from exhibitions by determining optimal ticket prices and scheduling, subject to constraints on artist availability, maximum attendance capacity, and exhibition limits.
Objective: maximize total_revenue = sum(Ticket_Price[exhibition_id] * Attendance[exhibition_id])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization data, modifying existing tables to fill mapping gaps, and moving certain parameters to configuration logic.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 4

Triple Expert Data: Values were determined based on typical gallery operations, considering average attendance, ticket pricing strategies, and artist availability patterns.