Iteration 2 Summary
Business Context: A retail chain aims to optimize employee hiring and allocation across shops to minimize total hiring costs while ensuring each shop has sufficient staff and employees are fairly evaluated based on their bonuses. The optimization problem is linear, focusing on minimizing costs and meeting staffing requirements.
Optimization Problem: Minimize the total hiring costs by deciding the number of full-time and part-time employees to hire for each shop, ensuring that each shop meets its staffing requirements and that employees receive bonuses based on their evaluations. The problem is formulated as a linear optimization problem with linear constraints.
Objective: minimize ∑(cost_full_time × x_full_time[Shop_ID] + cost_part_time × x_part_time[Shop_ID])
Tables Created: 1
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing decision variables (full-time and part-time hiring) and updating business configuration logic to ensure all optimization requirements are mapped. Existing tables and configuration logic are reviewed for completeness and alignment with OR expert's analysis.
Status: In progress
Confidence: medium
Next Focus: Define and map the missing decision variables for full-time and part-time hiring to the schema or business configuration logic.
Mapping Adequacy: partially_adequate
Business Configuration Parameters: 0
