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Maximize your Business Profitability with Python 📈

Use linear programming to help your local bakery to improve its business profitability by selecting the right items to sell

A graphic showing how to maximize bakery profitability by selecting the right items to sell. Three bakery items are listed: Cake (profit: 6€, preparation: 95 min), Croissant (profit: 0.9€, preparation: 55 min), and Sandwich (profit: 4.4€, preparation: 12 min). The graphic highlights the differences in profit margins and preparation times, helping business owners prioritize higher-margin, less time-intensive products to improve overall business profitability with Python.

Article

In this Article, we will see how to help your local bakery to maximize its profit by producing the right items using Linear Programming with Python.

Problem Statement

You want to help your local bakery to maximize its profit. They sell several types of product including cakes, pastries and sandwiches.

Available resources

  • 4 bakers working 6 hours per day (Total: 24 hours/day)
  • 1 assistant for sandwiches 4 hours per day
  • 2 ovens that can be used 24 hours per day (Total: 48 hours/day)
  • 100 slots available for stock and display

These items have different resource needs and profit level

Resources needed for each of your SKUs

Objective

What do you need to produce to maximize your daily profit?

Code

This repository code you will find all the code used to explain the concepts presented in the article.

About me 🤓

Senior Supply Chain and Data Science consultant with international experience working on Logistics and Transportation operations.
For consulting or advising on analytics and sustainable supply chain transformation, feel free to contact me via Logigreen Consulting. \

Please have a look at my personal blog: Personal Website