Iteration 1 Summary
Business Context: Optimize room allocation to maximize revenue while respecting room capacities and reservation constraints, ensuring linearity in the optimization model.
Optimization Problem: Maximize total revenue from room reservations by deciding which reservations to accept, ensuring that the number of guests does not exceed room capacities and that each room is not double-booked, using a linear formulation.
Objective: maximize ∑(Rate × AcceptReservation)
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding a new table for decision variables and updating configuration logic to handle date overlap constraints. Business configuration logic now includes scalar parameters and formulas for optimization.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on typical hotel room capacities, reservation rates, and realistic booking scenarios to ensure the optimization problem is meaningful and solvable.