Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Transport Logistics
2. Subject name in Hungarian Szállítási logisztika
3. Code BMEKOALD006 4. Evaluation type exam grade 5. Credits 3
6. Weekly contact hours 3 (0) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
 8. Role
Specific course
9. Working hours for fulfilling the requirements of the subject 90
Contact hours 42 Preparation for seminars 7 Homework 30
Reading written materials 11 Midterm preparation 0 Exam preparation 0
10. Department Department of Material Handling and Logistics Systems
11. Responsible lecturer Dr. Kovács Gábor
12. Lecturers Dr. Kovács Gábor
13. Prerequisites recommended: BMEKOALD005 - Packaging Technologies
14. Description of lectures
Modern methods and optimization problems of goods transportation. The vehicle routing problem and traveling salesman problem (selected notes). Solving methods: analytic, heuristic, metaheuristics algorithms. The ant colony and genetic algorithm for solving TSP and VRP tasks. The transportation network structure optimization, decision supporting.
15. Description of practices
 
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Knowledge of the modular structure and operation of the transport logistics systems.
  • Knowledge of related optimum search tasks and solutions.
B. Skills
  • Able to study the transport logistics systems, taking into account the scientific requirements.
  • Able to carry out research and development tasks related to the transport logistics systems.
C. Attitudes
  • Strive to maximize their abilities to make their studies at the highest possible level, with a profound and independent knowledge, accurate and error-free, in compliance with the rules of the applicable tools, in collaboration with the instructors.
D. Autonomy and Responsibility
  • Take responsibility for the quality of the work and the ethical standards that set an example for the classmates, using the knowledge acquired during the course.
18. Requirements, way to determine a grade (obtain a signature)
The grade of the PhD student is based on the semester activity and the evaluation of the paper (publishing), in consultation with the supervisor.
19. Opportunity for repeat/retake and delayed completion
Announced at the beginning of the semester
20. Learning materials
Slides and examples in electronic format
Effective date 27 November 2019 This Subject Datasheet is valid for Inactive courses