Supply Chain - Cost/Route Optimization

Overview:

• Route/Cost Optimization is mainly focused on minimizing/optimizing the overall cost invloved in transport of raw materials from suppliers to factories.
• Input: An excel file with information about materials, suppliers, factories etc.
• output: A csv file with information about the quantity that needs to be shipped from each supplier.

Technologies:

Below Technologies/Libraries has been used to develop this application.

• Python

• PULP

• Azure functions

• Note: For more details about the versions of the libaries used, refer "requirements.txt".

Project Structure:

├── HttpTrigger1
│   └── __init__.py -> contains the functionality to read and write data to the azure blob storage.
│   └── helper_fun.py -> contains all the helper functions which are referred in init.py.
│   └── preprocess.py -> contains all the functions to preprocess the data which are referred in init.py.    
└── azure-pipelines.yml -> contains the deployment steps.
└── requirements.txt -> contains all the required packages to run this application.

To run this application locally:

• Clone the repository
• In a terminal, navigate to SCM-Cost-optimization folder
• Activate your desired virtual environment
• In the terminal, type pip install -r requirements.txt
• Run the application with python __init__.py

Deployment:

• This web application has been deployed using azure pipelines.
• Under Pipelines => Create a new pipeline-> select Azure repos git -> Slect this repo (SCM-Cost-optimization) -> Select "Python Function App to Linux on Azure"
• Provide the authorization and select an already created function app from the dropdown.
• Yml file is generated -> save and run the pipeline.