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Faculty of Mechanical Engineering

ECTS Course Overview



Computer Support for LS Design

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code342-0681/02
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
DOR028doc. Ing. Michal Dorda, Ph.D.
Summary
Learning Outcomes of the Course Unit
The course aims to acquaint students with methods that can be used to solve real problems in the field of logistics planning and logistics systems. The subject is devoted to two different approaches - discrete simulation and linear programming. After completing this course the student should be able to apply these approaches to solving real problems in the field of logistics.
Course Contents
1) Introduction to modelling and simulation.
2) Basic description of Witness simulation software.
3) Introduction to discrete simulation, event-based algorithms, activity-based algorithms.
4) Methods of generating pseudo-random numbers.
5) Methods of transformation of pseudo-random numbers.
6) Introduction to estimation theory, point estimation of parameters.
7) Interval estimations of mean value.
8) Introduction to statistical hypothesis testing, normality testing - Pearson\'s goodness-of-fit test.
9) One sample mean value test.
10) Two sample mean value test.
11) Introduction to linear programming, Solver in Microsoft Excel, Xpress-IVE optimization software.
12) Transportation problem and its solution.
13) Location and allocation tasks and their solution.
14) Reserve.
Recommended or Required Reading
Required Reading:
Introduction to logistics systems planning and control [online]. Hoboken: Wiley, 2005 [cit. 2018-01-10]. ISBN 0-470-01404-0.
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. 2018-01-10]. ISBN 978-0-470-40356-3.
Studijní opory k předmětu - http://homel.vsb.cz/~dor028/Opory/
ŠIROKÝ, Jaromír. Aplikace počítačů v provozu vozidel. Ostrava: VŠB - Technická univerzita Ostrava, 2005. ISBN 80-248-0768-8.
JABLONSKÝ, Josef. Operační výzkum: kvantitativní modely pro ekonomické rozhodování. 3. vyd. Praha: Professional Publishing, 2007. ISBN 978-80-86946-44-3.
PAVELKA, Lubomír a DOLEŽALOVÁ, Jarmila. Pravděpodobnost a statistika. 2. vyd. Ostrava: VŠB - Technická univerzita Ostrava, 1999. ISBN 80-7078-976-X.
Introduction to logistics systems planning and control [online]. Hoboken: Wiley, 2005 [cit. 2018-01-10]. ISBN 0-470-01404-0.
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. 2018-01-10]. ISBN 978-0-470-40356-3.
Recommended Reading:
BENNETT, B. S. Simulation fundamentals. London: Prentice Hall, 1995. ISBN 0-13-813262-3.
NOSKIEVIČ, Petr. Simulace systémů. Ostrava: Vysoká škola báňská, 1992. ISBN 80-7078-112-2.
NOVÁK, Vladimír a ZÍTEK, Pavel. Praktické metody simulace dynamických systémů. Praha: SNTL - Nakladatelství technické literatury, 1982.
JANÁČEK, Jaroslav. Optimalizace na dopravních sítích. Žilina: Žilinská univerzita, 2002. ISBN 80-8070-031-1.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined