Iteration 1 Summary
Business Context: A party hosting company wants to minimize the total cost of hosting parties while ensuring that each party has a sufficient number of hosts and that hosts are assigned based on their availability and expertise.
Optimization Problem: The company needs to minimize the total cost of hosting parties by assigning hosts to parties in a way that respects the constraints on the number of hosts per party, the availability of hosts, and the expertise required for each party theme.
Objective: minimize ∑(cost_per_host[Host_ID] × assign[Party_ID, Host_ID])
Tables Created: 4
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating new tables for cost_per_host, min_hosts, max_hosts, and expertise_match. Business configuration logic updated with scalar parameters and formulas for optimization.
Status: In progress
Confidence: medium
Next Focus: Identify and map missing data/parameters for complete linear optimization model
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 4
