Operations Research: Graph Theory Course
Master operations research using graph theory to optimise routes, streamline fleets, and fortify distribution networks. Acquire hands-on skills in modelling, routing heuristics, data preparation, and Python analysis to lower costs and improve service reliability. Discover how to transform real-world logistics challenges into solvable graph problems with practical, efficient solutions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in applied graph theory for optimising routes, reducing travel expenses, and enhancing dependability in distribution systems. This focused course explores graphing locations, crafting tours for single and multiple vehicles, workload balancing, and managing shared constraints. You'll learn to process routing data, implement heuristics, utilise Python and spreadsheets, and deliver data-backed routing advice.
Elevify advantages
Develop skills
- Graph network modelling: convert real routes into analysable graphs.
- Urban routing data preparation: clean, geocode, and structure From-To-Weight data swiftly.
- Single and multi-vehicle routing: create cost-effective tours rapidly.
- Graph heuristics for routing: use nearest neighbour, 2-opt, 3-opt to minimise distances.
- Network resilience assessment: identify key nodes and evaluate disruptions.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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