Iteration 2 Summary
Business Context: A company aims to minimize the total cost of handling customer complaints by optimally assigning staff to complaints based on their efficiency and the severity of the complaints. The cost is determined by the time each staff member spends on each complaint and their hourly wage.
Optimization Problem: The objective is to minimize the total cost of handling complaints, which is a linear function of the time each staff member spends on each complaint and their hourly wage. The constraints ensure that each complaint is assigned to exactly one staff member, the time spent on each complaint is within the specified bounds, and no staff member exceeds their maximum working hours.
Objective: minimize ∑(time_spent[staff_id, complaint_id] * hourly_wage[staff_id])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating a new table for the missing decision variable 'time_spent[staff_id, complaint_id]'. Configuration logic remains unchanged as no additional scalar parameters or formulas were identified.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 0

Triple Expert Data: Values were determined based on industry standards, realistic business scenarios, and ensuring the optimization problem remains solvable. Hourly wages were set to reflect typical salaries for customer service roles. Time constraints for complaints were based on average handling times, and maximum working hours were set to standard full-time workweeks. Time spent values were generated to fall within the min and max time constraints for each complaint.