Operations Research: Graph Theory Course
Master operations research using graph theory to design efficient routes, optimise fleets, and enhance distribution networks. Gain practical skills in modelling, routing heuristics, data preparation, and Python analysis to lower costs and improve service reliability. This course equips you with tools for real-world applications in logistics and transport planning.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master practical graph theory for efficient route design, cost reduction, and reliability in distribution networks. Learn to model locations as graphs, create single and multi-vehicle tours, balance workloads, handle constraints, prepare routing data, apply heuristics with Python and spreadsheets, and deliver data-driven 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 miles.
- 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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