Supply-Chain-Optimization-Using-Python

production

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.

How to download and setup Supply-Chain-Optimization-Using-Python

Open terminal and run command

git clone https://github.com/suriyaram38/Supply-Chain-Optimization-Using-Python.git

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Also you may download zip file with Supply-Chain-Optimization-Using-Python https://github.com/suriyaram38/Supply-Chain-Optimization-Using-Python/archive/master.zip

Or simply clone Supply-Chain-Optimization-Using-Python with SSH

[email protected]:suriyaram38/Supply-Chain-Optimization-Using-Python.git

If you have some problems with Supply-Chain-Optimization-Using-Python

You may open issue on Supply-Chain-Optimization-Using-Python support forum (system) here: https://github.com/suriyaram38/Supply-Chain-Optimization-Using-Python/issues

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