Iteration 3 Summary
Business Context: A media company aims 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 shares, while ensuring linearity in the optimization model.
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, 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] × x[Channel_ID, Program_ID, Time_Slot_ID])
Tables Created: 0
Tables Modified: 0
Tables Deleted: 0
Key Change: Schema changes include adding tables for Max_Time_Slots and Min_Local_Programs to address missing optimization requirements. Configuration logic updates include scalar parameters for Max_Time_Slots and Min_Local_Programs.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on typical media industry standards, ensuring realistic viewership shares, channel ratings, and program scheduling constraints. The data was designed to reflect a balanced mix of local and international programs, with varying time slots to maximize viewership.