Supply Chain Optimization with Python

Supply Chain Optimization using Linear Programming with Python
Find the optimal locations of your manufacturing facilities to meet your customers’ demands and reduce production costs.
Chapters
00:05 Intro
00:28 Context: Global Supply Chain Network
01:22 Data Analysis
01:52 Definition of Production Costs
03:14 Linear Programming Problem Statement
04:32 Initial Solution
05:33 Simulation 50 scenarios with Python
06:18 Results
08:05 Conclusion
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[@SupplyScience]

⁉ If you have any questions, feel free to leave a comment.
📦 Data Science for Supply Chain Blog: samirsaci.com

[@AshishRawat-sz6oq]

amazing tutorial I have found on internet 💥

[@SupplyScience]

Thank you man! Feel free to check the blog and the other videos.

[@sofiatoto1843]

Hi, nice job. Any chance we can exchange via Email on logistic topics?

[@SupplyScience]

You can contact me yes: www.samirsaci.com/about/

[@learn4geek]

Great🎉

[@SupplyScience]

😃

[@rakeshkumar-pf6yu]

where is the python code here sir...?

[@SupplyScience]

Hello, in the description you have links to the article and github repository.

[@user-cm8zs2px7f]

Where the Python part ????

[@SupplyScience]

Linked in the first comment.