Iteration 1 Summary
Business Context: A university wants to optimize the allocation of students' time between playing video games and participating in sports to maximize their overall engagement while ensuring academic responsibilities are not compromised.
Optimization Problem: The goal is to maximize the total engagement score of students by allocating their available hours between playing video games and participating in sports, subject to constraints on maximum hours available, minimum academic hours required, and scholarship requirements.
Objective: maximize total_engagement = sum(engagement_score[StuID, GameID] * x[StuID, GameID] + engagement_score[StuID, SportName] * y[StuID, SportName])
Tables Created: 2
Tables Modified: 2
Tables Deleted: 0
Key Change: Schema changes include creating new tables for engagement scores and constraints, modifying existing tables to improve mapping adequacy, and moving scalar parameters to configuration logic.
Status: In progress
Confidence: medium
Next Focus: Refine the mapping of engagement scores and constraints related to available hours and scholarship requirements
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 3
