Iteration 3 Summary
Business Context: Optimize bike redistribution across stations to minimize the number of unmet trip demands and the total cost of bike movements while respecting station dock capacities and initial bike availability.
Optimization Problem: Minimize the total number of unmet trip demands and the total cost of bike movements, subject to constraints on station dock capacities, bike availability, and initial bike counts.
Objective: minimize ∑(unmet_demand[s] + cost_per_bike_movement * ∑(x[s1][s2] for all s1, s2)) where s is the station index
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added dock_capacity table to address missing optimization requirement, updated business configuration logic to include cost_per_bike_movement as a scalar parameter, and ensured all mappings are complete and consistent with OR expert's analysis.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 1

Triple Expert Data: Values were determined based on realistic bike-sharing system operations, considering typical station capacities, demand patterns, and movement costs.