Iteration 1 Summary
Business Context: A mobile phone company aims to optimize the production of different phone models to maximize profit while considering constraints such as available RAM, ROM, and screen resources.
Optimization Problem: The company needs to decide how many units of each phone model to produce in order to maximize profit. Each phone model requires specific amounts of RAM, ROM, and screen resources, and there are limits on the total available resources. The objective is to maximize the total profit from selling the phones.
Objective: maximize total_profit = sum(profit_per_unit[i] * units_produced[i]) for all i
Tables Created: 3
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating new tables for decision variables, objective coefficients, and constraint bounds, and moving scalar parameters to configuration logic. This addresses the OR expert's mapping gaps and missing data requirements.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on typical resource requirements and profit margins for different phone models, ensuring that the total available resources are sufficient to produce a meaningful number of units for each model.