Iteration 1 Summary
Business Context: A coffee shop chain aims to optimize staff allocation during happy hours across different shops to maximize customer satisfaction while minimizing operational costs, ensuring the total number of staff across all shops remains within a budget limit.
Optimization Problem: Determine the optimal number of staff to assign to each shop during happy hours to maximize the total amount spent by members, weighted by their membership level, while keeping the total number of staff across all shops within a budget limit and ensuring each shop has staff within its minimum and maximum limits.
Objective: maximize ∑(Total_amount[HH_ID, Member_ID] * Level_of_membership[Member_ID])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing constraint bounds, modifying existing tables to refine decision variable mapping, and adding business configuration logic for scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 4

Triple Expert Data: Values were determined based on typical coffee shop operations, considering factors like average spending, staff requirements, and membership levels. Data was generated to ensure a balance between customer satisfaction and operational costs.