Skip to main content
Skip header

Computer Simulation of Logistics Processes II

Language of instruction angličtina, čeština
Code 342-6511
Abbreviation PSLP II
Course title Computer Simulation of Logistics Processes II
Coordinating department Institute of Transport
Course coordinator doc. Ing. Michal Dorda, Ph.D.

Summary

Students will be familiar with the theoretical principles of discrete simulation methods that can be used to solve real-world problems in the field of logistics and the planning of logistics systems. They will be able to assess whether a specific practical problem is suitable for solution using discrete simulation methods. Students will be able to work with the Witness Horizon simulation software at an advanced user level – they will understand the significance and method of use of individual discrete elements, and will be able to configure their properties and define the relationships between them. Students will master the appropriate statistical methods necessary for preparing input data and evaluating simulation results. Students will be able to solve real-world problems in the field of transport and logistics using discrete simulation methods.

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.

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.