Operations Research: Graph Theory Course
This course equips learners with graph theory techniques in operations research to create cost-effective routes, streamline vehicle fleets, and fortify supply chains. Participants master practical graph modelling, routing algorithms, data preparation, and Python analysis to lower operational costs and elevate service performance across distribution networks.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in applied graph theory for optimising transport routes, reducing expenses, and enhancing network dependability in logistics systems. The course explores graph modelling of sites, single- and multi-vehicle routing, load balancing, and constraint management. Acquire skills in data cleaning, heuristic methods, Python and spreadsheet tools, plus delivering evidence-based routing solutions.
Elevify advantages
Develop skills
- Graph network modelling: convert actual pathways into structured graphs for analysis.
- Routing data preparation: cleanse, geocode, and structure origin-destination-weight datasets efficiently.
- Single/multi-vehicle routing: build practical, economical tours rapidly.
- Heuristic routing methods: deploy nearest neighbour, 2-opt, 3-opt to minimise distances.
- Resilience assessment: identify vital nodes and simulate network failure 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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