Operations Research: Graph Theory Course
Dive into operations research via graph theory to craft optimal routes, streamline vehicle fleets, and fortify logistics networks. Acquire hands-on skills in modelling, heuristics, data preparation, and Python analysis to slash costs and elevate operational reliability in real-world scenarios.

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 transport expenses, and enhancing dependability 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 applications, Python and spreadsheet tools, plus delivering actionable routing insights.
Elevify advantages
Develop skills
- Graph network modelling: convert actual routes into structured, analysable graphs.
- Routing data preparation: swiftly clean, geocode, and structure From-To-Weight datasets.
- Single- and multi-vehicle tours: rapidly create cost-effective, viable routing plans.
- Heuristic routing techniques: deploy nearest neighbour, 2-opt, 3-opt to minimise distances.
- Resilience assessment: pinpoint vital nodes and simulate network 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 workload.What our students say
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