Operations Research: Graph Theory Course
This course equips learners with graph theory techniques in operations research to create efficient routing plans, optimise vehicle fleets, and fortify supply networks. Key topics include practical graph modelling, routing algorithms, data preparation, and Python analysis for cost savings and improved reliability in logistics 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 distribution systems. The course explores graph modelling of sites, single and multi-vehicle routing, load balancing, and constraint management. Participants will 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: 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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