Iteration 2 Summary
Business Context: A pharmaceutical company aims to optimize the selection of medicines for a clinical trial by maximizing the overall effectiveness score while ensuring the total adverse interaction score does not exceed a specified limit and the number of selected medicines does not exceed a predefined maximum.
Optimization Problem: Select a combination of medicines that maximizes the total effectiveness score while ensuring the total adverse interaction score is within the allowed limit and the number of selected medicines does not exceed the maximum allowed.
Objective: maximize ∑(effectiveness_score[medicine_id] × x[medicine_id])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating a table for decision variables, updating the data dictionary, and ensuring all optimization mappings are complete. Business configuration logic remains unchanged as it already meets requirements.
Status: In progress
Confidence: medium
Next Focus: Map the decision variable x[medicine_id] to a table or configuration logic
Mapping Adequacy: mostly_good
Business Configuration Parameters: 0
