Iteration 1 Summary
Business Context: A university wants to optimize the allocation of student advisors to students with pets, ensuring that each advisor has a balanced workload in terms of the number of students and the total weight of pets they are responsible for.
Optimization Problem: The goal is to minimize the maximum workload of any advisor, where workload is defined as a combination of the number of students and the total weight of pets assigned to them. Each student must be assigned to exactly one advisor, and each advisor can handle a limited number of students and total pet weight.
Objective: minimize max_workload, where workload is a linear combination of the number of students and total pet weight assigned to each advisor
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization data, modifying existing tables to improve mapping adequacy, and updating business configuration logic for scalar parameters and formulas.
Status: In progress
Confidence: medium
Next Focus: Refine mapping of decision variables and constraints to existing schema, and gather missing data for complete model
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
