Iteration 1 Summary
Business Context: A research institution aims to optimize the allocation of its researchers across different projects to maximize the overall research output, measured by the number of papers published, while respecting constraints on the number of researchers per institution and the order of authorship.
Optimization Problem: Maximize the total number of papers published by assigning researchers to institutions and projects in a way that respects the constraints on the number of researchers per institution and the order of authorship. The objective is to maximize the sum of papers published, weighted by the order of authorship.
Objective: maximize ∑(w_authOrder * x_authID_instID_paperID)
Tables Created: 0
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema adjustments include creating new tables for missing optimization data, modifying existing tables to better align with OR expert's mapping, and moving scalar parameters and formulas to business_configuration_logic.json.
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 research institution operations, ensuring realistic constraints and weights that align with the optimization objective of maximizing research output.