Operations Research: Graph Theory Course
This course teaches operations research using graph theory to design efficient routes, optimise fleets, and strengthen distribution networks. Participants gain practical skills in modelling, routing heuristics, data preparation, and Python-based analysis to reduce costs and improve service reliability. It equips learners to handle real-world routing challenges effectively.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master practical graph theory for designing efficient routes, reducing travel costs, and enhancing reliability in distribution networks. The course covers modelling locations as graphs, creating single and multi-vehicle tours, balancing workloads, and managing shared constraints. You will learn to clean and prepare routing data, apply heuristics, use Python and spreadsheets, and deliver clear, data-driven routing recommendations.
Elevify advantages
Develop skills
- Graph-based network modelling: convert real routes into clear, analysable graphs.
- Urban routing data preparation: clean, geocode, and format From-To-Weight tables quickly.
- Single and multi-vehicle routing: design feasible, low-cost tours in minutes.
- Graph heuristics for routing: apply nearest neighbour, 2-opt, 3-opt to reduce mileage.
- Network resilience analysis: identify critical nodes and test disruption scenarios.
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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