Subject Datasheet
Download PDFBudapest University of Technology and Economics | |
Faculty of Transportation Engineering and Vehicle Engineering |
1. Subject name | Simulations planning | ||||
2. Subject name in Hungarian | Szimulációs tervezés | ||||
3. Code | BMEKOALM335 | 4. Evaluation type | mid-term grade | 5. Credits | 3 |
6. Weekly contact hours | 1 (4) Lecture | 1 (5) Practice | 1 (5) Lab | ||
7. Curriculum | Logistics Engineering MSc (L) |
8. Role | Mandatory (mc) at Logistics Engineering MSc (L) |
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9. Working hours for fulfilling the requirements of the subject | 90 | ||||
Contact hours | 42 | Preparation for seminars | 13 | Homework | 15 |
Reading written materials | 8 | Midterm preparation | 12 | Exam preparation | 0 |
10. Department | Department of Material Handling and Logistics Systems | ||||
11. Responsible lecturer | Dr. Bóna Krisztián | ||||
12. Lecturers | Dr. Bóna Krisztián, Dr. Bohács Gábor, Bakos András | ||||
13. Prerequisites | |||||
14. Description of lectures | |||||
The types of modells, the basics and mathematical rudiments of modelling. Stochastic and deterministic processes, and the main process properties. The definition of computer based simulation modelling and the application in the logistics system planning. Verification and validation. Queueing theory. Simulation algorithms and programming. Simulation and optimization, simulation based optimization methods. The simulation softwares and simulators. Application of simulation based optimization methods in logistics. Application of artificial intelligence in specific logistics optimization problems. Development of simulation systems and models in intra- and extra logistics systems. | |||||
15. Description of practices | |||||
Practicing the tasks related to modeling and parameterization, described in the lectures, through individual tasks, and preparation of the homework. | |||||
16. Description of labortory practices | |||||
Practicing the use of simulation techniques, simulators and simulation systems presented in the lectures within the framework of computer labs, through examples developed in the exercises, as well as the preparation of the homework. | |||||
17. Learning outcomes | |||||
A. Knowledge
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18. Requirements, way to determine a grade (obtain a signature) | |||||
The requirement of the complete the subject is to fulfill the homework and two midterm test. The homework (30%), and the tests (35-35%) are included in the final grade. | |||||
19. Opportunity for repeat/retake and delayed completion | |||||
The homework can be resubmitted once. Both tests can be retaken once. | |||||
20. Learning materials | |||||
Students can download the subject notes in pdf format via Moodle. | |||||
Effective date | 10 October 2019 | This Subject Datasheet is valid for | 2024/2025 semester I |