Iteration 1 Summary
Business Context: A political party aims to maximize the total number of seats won across multiple elections by strategically allocating campaign resources to representatives in different states, while adhering to budget constraints and state-specific resource limits.
Optimization Problem: The objective is to maximize the total seats won by the party across all elections. The decision variables represent the amount of campaign resources allocated to each representative. Constraints include a total budget limit, minimum resource allocations per representative, and maximum resource allocations per state.
Objective: maximize ∑(Seats_i × Resource_i)
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for decision variables and constraint bounds, moving scalar parameters to business configuration logic, and updating the data dictionary to reflect optimization mappings.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on realistic campaign budgets, resource allocation limits, and election outcomes, ensuring they align with the business context and optimization requirements.