Iteration 2 Summary
Business Context: A party hosting company aims to minimize the total cost of hosting parties by assigning hosts to parties while ensuring each party has a sufficient number of hosts, hosts are available, and their expertise matches the party theme.
Optimization Problem: Minimize the total cost of hosting parties by assigning hosts to parties, respecting constraints on the number of hosts per party, host availability, and expertise matching.
Objective: minimize ∑(cost_per_host[Host_ID] × assign[Party_ID, Host_ID])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added decision variable table 'assign' to address missing optimization requirement. Updated business configuration logic to include scalar parameters and formulas. Ensured schema follows normalization principles and industry standards.
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 party hosting scenarios, ensuring realistic costs, host availability, and expertise matching. The number of hosts per party was set to reflect common party sizes, and costs were varied to represent different host experience levels.