Supply-Chain-Optimization-Using-Python

Supply-Chain-Optimization-Using-Python

suriyaram38

A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total lowest costs for satisfying consumer demand across all countries, based on various constraints. Data visualization is done and interactive widgets are used to compare different scenarios.

19 Stars
8 Forks
19 Watchers
Jupyter Notebook Language
Cost to Build
$1.4K
Market Value
$2.0K

Growth over time

5 data points  ·  2022-02-01 → 2025-08-01
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What is the suriyaram38/Supply-Chain-Optimization-Using-Python GitHub project? Description: "A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total lowest costs for satisfying consumer demand across all countries, based on various constraints. Data visualization is done and interactive widgets are used to compare different scenarios.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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