Iteration 1 Summary
Business Context: A university aims to optimize the allocation of students and faculty to extracurricular activities to maximize overall participation while respecting constraints on faculty availability, student preferences, and activity capacity limits.
Optimization Problem: Maximize the total participation in activities by students and faculty, ensuring that each student is assigned to at most one activity, each faculty member is assigned to at most two activities, and the total number of participants in each activity does not exceed a predefined limit.
Objective: maximize ∑(student_participation[stuid, actid] + faculty_participation[facid, actid])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Added Activity_Capacity table to address missing max_participants constraint. Updated business_configuration_logic.json with 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: 3

Triple Expert Data: Values were determined based on typical university extracurricular activity participation rates, faculty workload considerations, and activity capacity limits. The data ensures that the optimization problem is meaningful and solvable by respecting constraints and business logic.