Iteration 1 Summary
Business Context: The company aims to optimize the allocation of office spaces across different buildings to maximize its market value, considering constraints like available stories in buildings and the company's sales performance.
Optimization Problem: Maximize the total market value of companies by optimally allocating office spaces in various buildings, subject to constraints on the number of stories available in each building and the minimum sales performance required for allocation.
Objective: maximize total_market_value = ∑(Market_Value_billion[i] * x[i])
Tables Created: 1
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating a new table for decision variables, modifying existing tables to fill mapping gaps, and moving scalar parameters to configuration logic. Business configuration logic updated to include minimum sales requirement as a scalar parameter.
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 typical market values and sales figures for mid-sized companies and realistic building capacities in urban areas.