Iteration 1 Summary
Business Context: A museum wants to optimize the allocation of its staff across different museums to maximize visitor satisfaction while minimizing operational costs. The number of staff allocated to each museum affects the visitor experience and the operational cost.
Optimization Problem: Determine the optimal number of staff to allocate to each museum to maximize visitor satisfaction, which is assumed to be proportional to the number of staff, while minimizing the total operational cost. The operational cost is a linear function of the number of staff allocated.
Objective: maximize total_visitor_satisfaction = ∑(satisfaction_coefficient[m] * staff_allocated[m]) - ∑(cost_coefficient[m] * staff_allocated[m])
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating new tables for objective coefficients and constraint bounds, modifying existing tables to address mapping gaps, and updating business configuration logic for scalar parameters and formulas.
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 staffing needs and operational costs for museums of varying sizes, ensuring a balance between visitor satisfaction and cost efficiency.