Subject Datasheet

Download PDF
Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Operational Research in Logistics
2. Subject name in Hungarian Operációkutatás a logisztikában
3. Code BMEKOALD001 4. Evaluation type exam grade 5. Credits 4
6. Weekly contact hours 4 (0) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
 8. Role
Basic course
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 56 Preparation for seminars 7 Homework 37
Reading written materials 20 Midterm preparation 0 Exam preparation 0
10. Department Department of Material Handling and Logistics Systems
11. Responsible lecturer Dr. Bóna Krisztián
12. Lecturers Dr. Bóna Krisztián
13. Prerequisites  
14. Description of lectures
The specialities of the logistics modeling. The typical properties of the logistics optimization problems. Deterministic and stochastic dynamic programing in logistics. Multi-criteria optimization problems and models, analitical hierarchy process and pareto optimizing in logistics systems. Linear and non-linear programing and conditional optimum searching in logistics. Stochastic modeling, optimum seeking in stochastic environment. Mathematical algorithms of the discrate event based simulation models, and its applications in logistics system modelling. Special issues in operational research. Soft computing techniques based optimum seeking in logistics modeling. Documentation of logistics models and algorithms (case study).
15. Description of practices
 
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Knowledge of the logistics oriented operational research problems.
  • Knowledge of the mathematical modelling tools.
  • Knowledge of the related journals and literatures to analyse the state of the art.
B. Skills
  • Able to study the operational researching problems, taking into account the scientific requirements.
  • Able to create and design mathematical models related to the real problems and effects.
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 research activity, and the quality of the developed model, and the scientific white paper.
19. Opportunity for repeat/retake and delayed completion
Announced at the beginning of the semester
20. Learning materials
Wayne L. Winston: Operations Research: Applications and Algorithms, 4th Edition, Cengage Learning, 2003.
Frederick S. Hillier, Gerald J. Lieberman: Introduction To Operations Research 10th Edition, Mc Graw Hill India; 10th edition, 2017.
Operational research related e-books and websites
Effective date 27 November 2019 This Subject Datasheet is valid for Inactive courses