Application of Operations Research Methods in Logistics

Course guarantor:

Alena Rybičková

Lecturer:

Alena Rybičková, Šárka Voráčová

Tutor:

Alena Rybičková, Šárka Voráčová

Supervisor:

Department of Smart Cities and Regions

Synopsis:

Exact, heuristic, metaheuristic methods. Static and dynamic shortest path problem. Location analysis, P&R/K&R facilities location. Travelling salesman problem with constraints. Assignment problem and matching algorithms. Decision making in urban transport. Design of urban transport lines. Scheduling in public transport.

Requirements:

linear algebra, combinatorics, graph theory, linear programming

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Follow up basic problems and methods of graph theory and extend the knowledge of dynamic and constrained problems applicable in logistics and smart cities. Introduce advanced algorithms and operations research tools.

Study materials:

Transportation Decision Making: Principles of Project Evaluation and Programming https://onlinelibrary.wiley.com/doi/book/10.1002/9780470168073

Handbook of Heuristics https://link.springer.com/referencework/10.1007%2F978-3-319-07124-4

Combinatorial Optimization https://link.springer.com/book/10.1007%2F978-3-662-56039-6

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Master Full-Time SC from 2023/24 (compulsory course in the program)