Computer Simulation of Logistics Processes I
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | English |
| Code | 342-3362/04 |
| Abbreviation | PSLP I |
| Course title | Computer Simulation of Logistics Processes I |
| Credits | 4 |
| Coordinating department | Institute of Transport |
| Course coordinator | doc. Ing. Michal Dorda, Ph.D. |
Subject syllabus
1. Introduction to modelling and simulation.
2. Witness simulation software – basic elements, input and output rules.
3. Witness simulation software – basic functions, probability distributions in Witness.
4. Introduction to discrete simulation.
5. Event-driven algorithms.
6. Activity-driven algorithms.
7. Methods for generating pseudo-random numbers.
8. Methods for transforming pseudo-random numbers.
9. Preparation of input data – exploratory data analysis – numerical characteristics of a random sample.
10. Preparation of input data – exploratory data analysis – processing a large random sample, graphical representation of a random sample.
11. Preparation of input data – point estimates of parameters of probability distributions.
12. Evaluation of simulation results – testing for normality – Pearson’s χ² goodness-of-fit test.
13. Evaluation of simulation results – interval estimation of the mean.
2. Witness simulation software – basic elements, input and output rules.
3. Witness simulation software – basic functions, probability distributions in Witness.
4. Introduction to discrete simulation.
5. Event-driven algorithms.
6. Activity-driven algorithms.
7. Methods for generating pseudo-random numbers.
8. Methods for transforming pseudo-random numbers.
9. Preparation of input data – exploratory data analysis – numerical characteristics of a random sample.
10. Preparation of input data – exploratory data analysis – processing a large random sample, graphical representation of a random sample.
11. Preparation of input data – point estimates of parameters of probability distributions.
12. Evaluation of simulation results – testing for normality – Pearson’s χ² goodness-of-fit test.
13. Evaluation of simulation results – interval estimation of the mean.
E-learning
lms.vsb.cz
Literature
DORDA, Michal. Computer Supported Planning of Logistics Systems. Ostrava: VŠB-TUO, 2021. Studijní text, ISBN nepřiděleno.
Studijní materiály k předmětu - dostupné v lms.vsb.cz.
GHIANI, Gianpaolo; LAPORTE, Gilbert; MUSMANNO, Roberto. Introduction to logistics systems planning and control. Online. [Hoboken]: Wiley, 2005. ISBN 0-470-01404-0 . Dostupné z: http://dx.doi.org/10.1002/0470014040. [cit. 2026-07-14].
AL-AOMAR, Raid; WILLIAMS, Ed a ÜLGEN, Onur M. Process simulation using WITNESS. Hoboken, New Jersey: Wiley, [2015]. ISBN 978-0-470-37169-5.
HOGG, Robert V.; MCKEAN, Joseph W. a CRAIG, Allen T. Introduction to mathematical statistics. Eighth edition. Harlow: Pearson, [2020]. ISBN 978-1-292-26476-9.
Studijní materiály k předmětu - dostupné v lms.vsb.cz.
GHIANI, Gianpaolo; LAPORTE, Gilbert; MUSMANNO, Roberto. Introduction to logistics systems planning and control. Online. [Hoboken]: Wiley, 2005. ISBN 0-470-01404-0 . Dostupné z: http://dx.doi.org/10.1002/0470014040. [cit. 2026-07-14].
AL-AOMAR, Raid; WILLIAMS, Ed a ÜLGEN, Onur M. Process simulation using WITNESS. Hoboken, New Jersey: Wiley, [2015]. ISBN 978-0-470-37169-5.
HOGG, Robert V.; MCKEAN, Joseph W. a CRAIG, Allen T. Introduction to mathematical statistics. Eighth edition. Harlow: Pearson, [2020]. ISBN 978-1-292-26476-9.
Advised literature
ROTONDI, Alberto; PEDRONI, Paolo a PIEVATOLO, Antonio. Probability, statistics and simulation: with application programs written in R. Unitext. La Matematica per il 3+2, Volume 139. Cham, Switzerland: Springer, [2022]. ISBN 978-3-031-09428-6.
ZEIGLER, Bernard P., PRAEHOFER, Herbert a KIM, Tag Gon. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, c2000. ISBN 0-12-778455-1.
SOKOLOWSKI, John A. a BANKS, Catherine M., ed. Principles of modeling and simulation: a multidisciplinary approach [online]. Hoboken: John Wiley & Sons, 2008 [cit. 2022-10-25]. ISBN 978-0-470-40356-3.
ZEIGLER, Bernard P., PRAEHOFER, Herbert a KIM, Tag Gon. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, c2000. ISBN 0-12-778455-1.
SOKOLOWSKI, John A. a BANKS, Catherine M., ed. Principles of modeling and simulation: a multidisciplinary approach [online]. Hoboken: John Wiley & Sons, 2008 [cit. 2022-10-25]. ISBN 978-0-470-40356-3.