Iteration 1 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 × Attendance × x_ij) where x_ij is the number of exhibitions artist i participates in in year j
Tables Created: 3
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for missing optimization requirements (Max_Exhibitions_Per_Artist, Min_Artists_Per_Exhibition, and decision variables x_ij). Business configuration logic updated with scalar parameters and formulas for optimization constraints and calculations.
Status: In progress
Confidence: medium
Next Focus: Define and map missing constraint bounds and decision variables
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 3
