Operations Research: Graph Theory Course
This course equips you with operations research techniques using graph theory to optimise routes, manage fleets effectively, and fortify distribution networks. You will master practical graph modelling, routing algorithms like nearest neighbour and opt methods, data preparation, and Python analysis to lower costs and improve service reliability in real scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in applied graph theory for creating efficient routes, reducing travel expenses, and enhancing dependability in distribution systems. The course explores graph modelling of sites, single and multi-vehicle route planning, workload distribution, and constraint management. Acquire skills in data cleaning, heuristic methods, Python and spreadsheet tools, plus delivering data-backed routing advice.
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: create cost-effective tours rapidly.
- Heuristic routing techniques: use nearest neighbour, 2-opt, 3-opt to minimise distances.
- Resilience assessment: identify key nodes and evaluate disruption impacts.
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 workloadWhat our students say
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