Iteration 1 Summary
Business Context: A research institute needs to assign scientists to projects in a way that minimizes the total project hours while ensuring that each scientist is assigned to at least one project and no project exceeds its maximum allowed hours.
Optimization Problem: Minimize the total project hours by optimally assigning scientists to projects. Constraints include ensuring each scientist is assigned to at least one project, no project exceeds its maximum allowed hours, and each project has at least one scientist assigned.
Objective: minimize ∑(Hours × x_{ij}) where x_{ij} is a binary variable indicating if scientist i is assigned to project j
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include adding a table for maximum allowed project hours and refining the assignment table to fully map binary decision variables. Configuration logic updated to include scalar parameters for project hours and formulas for performance metrics.
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 project hours and maximum allowed hours in research settings, ensuring a balance between project complexity and resource constraints.