Iteration 1 Summary
Business Context: A music ensemble aims to optimize the number of pieces performed by each member across various performances to maximize overall attendance, while ensuring fair distribution of pieces among members and respecting performance capacity constraints.
Optimization Problem: The objective is to maximize the total attendance across all performances by optimizing the number of pieces each member performs, subject to constraints on the maximum number of pieces a member can perform, the total number of pieces per performance, and ensuring each member is assigned at least one piece.
Objective: maximize ∑(Attendance_j × ∑(x_ij)) where x_ij is the number of pieces member i performs in performance j
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding tables for missing constraints and moving scalar parameters to business configuration logic. Configuration logic updated with scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Refine constraints and ensure all necessary parameters are available for a complete optimization model
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
