Iteration 1 Summary
Business Context: A university wants to optimize the allocation of scholarships to students based on their academic performance, sports participation, and gaming habits to maximize overall student satisfaction and performance.
Optimization Problem: The objective is to maximize the total weighted sum of student satisfaction, which is influenced by their academic performance, sports participation, and gaming habits. Constraints include budget limits for scholarships, minimum and maximum hours spent on sports and gaming, and ensuring that students with higher academic performance receive more scholarships.
Objective: maximize ∑(w1 * Academic_Performance[i] + w2 * Sports_Participation[i] + w3 * Gaming_Habits[i])
Tables Created: 2
Tables Modified: 2
Tables Deleted: 0
Key Change: Schema changes include creating tables for academic performance and weights, modifying existing tables for sports and gaming hours, and adding business configuration logic for scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Define and map academic performance data and weights for the objective function
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 5
