Production Planning Optimization with Python

Implement the Wagner-Whitin algorithm with Python to minimize the total costs of production given a set of constraints.
Chapters
00:05 Intro
00:27 Scenario: Production Planning
01:04 Setup Costs vs. Holding Costs
01:47 1st Strategy: Minimize Inventory
02:25 2nd Strategy: Minimize Production Setups
02:50 Assumptions & Parameters
03:21 Introduction of Wagner Whitin Algorithm
05:30 Resolution
06:24 Final Solution
07:29 Implement Wagner Whitin with Python
08:10 Conclusion
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[@mauriciomontiel2357]

Hi, thanks for the video, i saw the code in github but i have a question: in the part when you do the BACKWARD you made a addition of the column cost and that give you a total cost of 10,200$, why? Isn't it assumed that the total cost is 3750 and already considers the costs of previous periods?

[@SupplyScience]

⁉ If you have any questions, feel free to leave a comment.
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