Logistics Management & Geospatial Route Planning with Python
Optimizing logistics cost and shipping routes with Python, linear programming, OR Tools, geospatial mapping, and Folium
2 067
students
5 hours
content
May 2025
last update
$44.99
regular price
What you will learn
Learn the basic fundamentals of logistics management and route optimization
Learn about logistics optimization workflow. This section covers data collection, defining problems, model formulation, optimization and solution implementation
Learn how to optimize production cost using linear programming
Learn how to optimize transportation cost using linear programming
Learn how to optimize air freight and sea freight cost using linear programming
Learn how to display geospatial map using Folium and GeoPy
Learn how to optimize shipping route with linear programming and Folium
Learn how to optimize sea freight route with Google OR Tools and Folium
Learn how to calculate distance using Haversine formula
Learn how to analyze and choose most optimal location for warehouse
Learn how to map warehouse, factory, and customer base locations using Folium
Learn how to calculate optimal order quantity and reorder point
Learn how to calculate safety stock
Learn how to optimize truck load capacity and fuel cost using linear programming
Learn how to optimize FTL vs LTL cost using linear programming
Learn how to estimate delivery time using machine learning
Learn how to map customer base locations using Folium heatmap
Course Gallery
6599387
udemy ID
05/05/2025
course created date
12/05/2025
course indexed date
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