Operations Research: Graph Theory Course
This course equips learners with graph theory techniques in operations research to optimise routing, fleet management, and supply chains. Covering practical graph modelling, data preparation, routing heuristics, and Python analysis, it focuses on cost reduction and improved network reliability through real-world applications and efficient problem-solving methods.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain expertise in applied graph theory for optimising routes, reducing costs, and enhancing reliability in logistics networks. The course teaches graph modelling of sites, single- and multi-vehicle routing, workload balancing, and constraint management. Participants will learn data cleaning, heuristic applications, Python and spreadsheet usage, and delivering data-backed routing solutions.
Elevify Advantages
Develop Skills
- Graph network modelling: convert real-world routes into structured graphs for analysis.
- Routing data preparation: clean, geocode, and structure From-To-Weight data efficiently.
- Single- and multi-vehicle routing: create cost-effective tours rapidly.
- Heuristic methods for graphs: implement nearest neighbour, 2-opt, 3-opt to minimise distances.
- Resilience assessment: identify vital nodes and evaluate disruption impacts.
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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