Iteration 1 Summary
Business Context: A company wants to optimize the allocation of office spaces in different buildings to minimize the total cost of leasing while ensuring that each company has sufficient space based on their sales and assets.
Optimization Problem: The objective is to minimize the total leasing cost of office spaces across different buildings. The decision variables represent the amount of space allocated to each company in each building. Constraints ensure that each company's space requirements are met, the total space in each building is not exceeded, and the allocation is non-negative.
Objective: minimize ∑(cost_per_sqft[building_id] × space_allocated[building_id, company_id])
Tables Created: 3
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for cost_per_sqft, required_space, and available_space. Business configuration logic updated with scalar parameters and formulas for optimization.
Status: In progress
Confidence: medium
Next Focus: Identify and map missing data required for the optimization model, such as cost per square foot, required space, and available space.
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 3
