Operations Research: Graph Theory Course
This course equips learners with graph theory techniques in operations research to optimize routing, fleet management, and distribution networks. Covering practical graph modeling, data preparation, routing heuristics, and Python analysis, it focuses on minimizing costs while maximizing service reliability and efficiency 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 creating cost-effective routes, reducing travel expenses, and enhancing dependability in distribution systems. The course explores graph modeling of sites, single- and multi-vehicle routing, workload balancing, and constraint management. Participants will master data cleaning, heuristic methods, Python and spreadsheet tools, and delivering actionable routing insights.
Elevify advantages
Develop skills
- Graph network modeling: convert actual routes into structured graphs for analysis.
- Routing data preparation: clean, geocode, and structure From-To-Weight data efficiently.
- Single/multi-vehicle routing: create cost-effective tours rapidly.
- Heuristic routing methods: implement nearest neighbor, 2-opt, 3-opt to reduce distances.
- Resilience assessment: identify vital 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 workload.What our students say
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