Operations Research: Graph Theory Course
This course equips you with graph theory techniques in operations research to create efficient routing plans, optimise vehicle fleets, and fortify supply chains. Covering practical graph modelling, data preparation, routing algorithms like nearest neighbour and 2-opt/3-opt, plus Python analysis, it helps slash expenses and improve delivery dependability in real scenarios.

flexible workload of 4 to 360h
valid certificate 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 locations, single and multi-vehicle routing, workload balancing, and constraint management. You will learn data cleaning, heuristic applications, Python and spreadsheet usage, and delivering data-backed routing solutions.
Elevify advantages
Develop skills
- Graph network modelling: convert actual routes into structured graphs for analysis.
- Routing data preparation: clean, geocode, and structure From-To-Weight data swiftly.
- Single/multi-vehicle routing: build cost-effective tours quickly.
- Heuristic methods for graphs: use nearest neighbour, 2-opt, 3-opt to minimise distances.
- Resilience assessment: identify key nodes and simulate network 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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