Iteration 1 Summary
Business Context: A media company wants to maximize the total viewership share across its channels by optimally scheduling programs. The company needs to decide which programs to broadcast on which channels and at what times of day, considering channel ratings and program origins.
Optimization Problem: The goal is to maximize the total viewership share by selecting the best combination of programs, channels, and times of day. The objective is to maximize the sum of the products of program shares and channel ratings. Constraints include ensuring each program is broadcast at most once, each channel has a limited number of time slots, and programs from certain origins are prioritized.
Objective: maximize ∑(Share_in_percent[Channel_ID, Program_ID] × Rating_in_percent[Channel_ID])
Tables Created: 3
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include creating tables for time slots, program origins, and decision variables. Configuration logic updates include scalar parameters for maximum broadcasts and formulas for priority rules.
Status: In progress
Confidence: medium
Next Focus: Refine constraints and ensure all necessary data is available for the optimization model
Mapping Adequacy: needs_improvement
Business Configuration Parameters: 2
