Iteration 1 Summary
Business Context: A bank aims to optimize its loan allocation across branches to maximize total loan disbursement while ensuring that no branch exceeds its customer capacity and that each customer's credit score is respected.
Optimization Problem: Maximize the total loan amount disbursed across all branches, subject to constraints on branch customer capacity, individual customer credit scores, and the number of loans per customer.
Objective: maximize ∑(amount[loan_ID])
Tables Created: 0
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include adding missing parameters to business_configuration_logic.json and ensuring all tables meet the 3-row minimum rule. Configuration logic updates address scalar parameters and formulas identified as missing in the OR expert analysis.
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 typical banking practices, ensuring that loan amounts, customer capacities, and credit scores are realistic and align with the optimization constraints.