Iteration 1 Summary
Business Context: A publishing company aims to maximize its revenue by determining the optimal number of issues to publish for each book, considering the price of each publication and constraints on total issues and budget.
Optimization Problem: The objective is to maximize total revenue from book publications by deciding the optimal number of issues to publish for each book, subject to constraints on the total number of issues and the available budget.
Objective: maximize total_revenue = sum(Price[Publication_ID] * Issues[Book_ID])
Tables Created: 0
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding missing constraint bounds and moving scalar parameters to configuration logic. Adjustments ensure all optimization requirements are met and business logic is preserved.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on typical publishing industry standards, ensuring that the number of issues and prices are realistic and align with the given budget and issue constraints.