Iteration 1 Summary
Business Context: A university wants to optimize the allocation of pet care resources to students based on their pets' needs and the students' demographics. The goal is to minimize the total cost of pet care while ensuring that each pet receives adequate care based on its type, age, and weight.
Optimization Problem: The optimization problem aims to minimize the total cost of pet care by allocating resources efficiently. The decision variables represent the amount of resources allocated to each pet. Constraints ensure that each pet receives a minimum level of care based on its type, age, and weight, and that the total resources do not exceed the available budget.
Objective: minimize ∑(cost_per_pet_type[PetType] × resource_allocation[PetID])
Tables Created: 2
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes and configuration logic updates implemented to address missing optimization requirements and mapping gaps identified by the OR expert.
Status: In progress
Confidence: low
Next Focus: Define and map the missing coefficients and constraints to the schema or business configuration logic.
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
