Python + PuLP: A Simple Logistics Optimization Example

The logistics example <a href="https://www.coin-or.org/PuLP/CaseStudies/a_transportation_problem.html" rel="noopener ugc nofollow" target="_blank">(Beer Distribution Problem)</a> provided by the developers is a great example, however, I wanted to approach it differently. I had already determined routes and an estimated margin impact for each of the ‘routes’ or lanes. We had other constraints that required a minimum volume per week on certain lanes to meet certain demands even if they were not a net positive on the transportation margin (see the ‘ImpactPer’ column in the data). We also had a limit on how many miles we could cover in a week due to a finite amount of trucks. The goal was to optimally select which lanes to run and at what volumes to maximize equipment utilization and financial impact. <a href="https://python.plainenglish.io/python-pulp-optimization-a-simple-logistics-example-4a8f713ba807">Click Here</a>