Iteration 1 Summary
Business Context: A university wants to optimize the allocation of students to various clubs to maximize student engagement while considering constraints such as club capacity and student preferences.
Optimization Problem: The goal is to maximize the total engagement score of students across all clubs. Each student has a preference score for each club, and each club has a maximum capacity. The decision is to assign students to clubs in a way that maximizes the total preference score while respecting club capacities.
Objective: maximize sum(preference_score[StuID, ClubID] * x[StuID, ClubID])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for preference scores and club capacities, modifying existing tables for better mapping, and updating configuration logic for scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Gather missing data on student preferences and club capacities to complete the optimization model
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
