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Reduce Warehouse Space with the Pareto Principle using Python 📦

How the 80/20 rule implemented using python can optimize your layout, reduce space utilization and improve the picking productivity

An Italian economist named Vilfredo Pareto developed 1906 a mathematical formula to describe the distribution of wealth in Italy. He discovered that 80% of the wealth belonged to 20% of the population.

Pareto

A few decades later this rule has been generalized to many other applications including Supply Chain and Logistics Management. This principle called the “Pareto Principle”, “the 80–20 rule” or “The Law of Trivial Many and Critical Few” can be translated for Logistics Practitioners

  • 80% of your company revenue is made from 20% of your reference
  • 80% of your volume is picked in 20% of your picking locations
  • 80% of your replenishment volume will be performed on 20% of your picking locations

Youtube Video

Find in the link below a short animated explained video to understand the concept behind this solution

Explainer Video Link

Article

In this Article, we will explore how to apply this Pareto Principle to optimize the layout of a Warehouse

  • 1 month of picking orders
  • 144,339 order lines
  • 59,372 orders
  • 4,864 active references

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Code

This repository code you will find all the code used to explain the concepts tackeld in the article with a dataset of orders.

About me 🤓

Senior Supply Chain Engineer with an international experience working on Logistics and Transportation operations.
Have a look at my portfolio: Data Science for Supply Chain Portfolio
Data Science for Warehousing📦, Transportation 🚚 and Demand Forecasting 📈