Skip to content

sheebatheo09/Supply_chain_python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Supply Chain Optimization - Cool Wipes Case Study

Description

This project explores supply chain optimization for the Cool Wipes company. The objective is to analyze and propose solutions to enhance supply chain efficiency, minimize costs, and improve operational decision-making.

Files

  • coolwipes_group6.ipynb: Jupyter notebook containing the Python code and analysis.
  • case_jan_25.pdf: PDF document detailing the case study.

Objectives

  1. Analyze supply chain challenges faced by Cool Wipes.
  2. Optimize transportation and inventory costs using Python.
  3. Propose actionable insights based on data-driven analysis.

Prerequisites

Ensure the following Python libraries are installed:

  • pandas
  • numpy
  • matplotlib
  • scipy
  • Any other library used in the notebook.

Install them using:

pip install pandas numpy matplotlib scipy

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published