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 opt methods, plus Python analysis, it helps slash expenses and improve delivery dependability in real operations.

from 4 to 360h flexible workload
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 sites, single and multi-vehicle routing, workload balancing, and constraint management. You'll master data cleaning, heuristic methods, Python and spreadsheet tools, 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 efficiently.
- Single and multi-vehicle tours: build cost-effective routes quickly.
- Heuristic routing methods: 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 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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