Course detail

Logistics and Plant Transport

FSI-QLVAcad. year: 2025/2026

The course “Logistics and in-house transport” teaches students about concepts of logistics chain management, types of inter-object and in-house transport and principles of warehouse management. Students will learn the tools of business process management. Graduates of the course will gain knowledge about the methodology of planning logistic processes from the preparatory phase and system analysis to the use of modern computer tools including discrete material flow simulation. The course includes current trends in the field of business process digitization. The course also includes information on the concept of logistics systems with conditions for sustainability, environmental friendliness and cost-effectiveness. In addition, students will learn about innovative solutions in the concept of hybrid systems to reduce overall energy consumption using product life cycle principles.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Miroslav Škopán, CSc.

Department

Institute of Automotive Engineering (ÚADI)

Entry knowledge

Successful completion of the course is conditional on the basic knowledge of technical mechanics, physics and mathematics.

Rules for evaluation and completion of the course

The exam is evaluated with acquired knowledge and the ability to apply them. The exam is written with a final oral interview.

Aims

The aim of the course is to familiarize the students with logistic approaches in the handling of handling and transport processes. Assessment of logistics processes and their cross-sectional functions. Possibilities of modeling of traffic handling processes.
Students will gain knowledge of logistic approaches to handling traffic-handling processes. They are able to identify appropriate logistic indicators for transport-handling systems and carry out their evaluation. In the knowledge of material flow handling concept, students will gain information on the environmental effects of their use with respect to the environmental aspects of the handling and transport environment in the event of accidents. Students will be introduced to the use of hybrid drives in logistics equipment to reduce the overall energy consumption of the system.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BANKS, Jerry. Discrete-event system simulation. 4th ed. Upper Saddle River: Pearson Prentice Hall, 2005, xvi, 608 s. ISBN 0-13-144679-7. (EN)
LAW, Averill M. Simulation modeling and analysis. Fifth edition.; International edition. New York: McGraw-Hill Education, 2015, xviii, 776 stran, 4 nečíslované strany obrazových příloh. ISBN 978-1-259-25438-3 (EN)
SIXTA, Josef a Miroslav ŽIŽKA. Logistika: metody používané pro řešení logistických projektů. Brno: Computer Press, 2009, 238 s. ISBN 978-80-251-2563-2. (CS)
SIXTA, Josef a Václav MAČÁT. Logistika: teorie a praxe. Brno: CP Books, 2005, 315 s. : il. ; 24 cm. ISBN 80-251-0573-3. (CS)

Recommended reading

BIGOŠ, Peter, Imrich KISS a Juraj RITÓK. Materiálové toky a logistika II: logistika výrobných a technických systémov. Košice: Strojnícka fakulta TU, 2005, 193 s. ISBN 80-8073-263-9. (SK)
LIU, John J. Supply chain management and transport logistics. New York: Routledge, 2011, xi, 530 s. ISBN 978-0-415-61896-0. (EN)
PERNICA, Petr. Logistika pro 21. století: (supply chain management). Díl 1. Praha: Radix, 2005, 569 s. ISBN 80-86031-59-4. (CS)
Peter Bigoš ; Juraj Ritók; Imrich Kiss. Materiálové toky a logistika. Technická univerzita (Košice, Slovensko). Strojnícka fakulta ; Prešov : Vydavateľstvo Michala Vaška ; 2002 (SK)
PAGANO, Anthony M. a LIOTINE, Matthew. Technology in supply chain management and logistics: current practice and future applications. Amsterdam: Elsevier, [2020]. ISBN 978-0-12-815956-9. (EN)
PATEL, Chandrakant D. a CHEN, Chun-Hsien (ed.). Digital manufacturing: key elements of a digital factory. Amsterdam: Elsevier, [2024]. ISBN 978-0-443-13812-6. (EN)
TAO, Fei; ZHANG, Meng a NEE, A. Y. C. Digital twin driven smart manufacturing. London: Elsevier, [2019]. ISBN 978-0-12-817630-6. (EN)

Classification of course in study plans

  • Programme N-ADI-P Master's 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Miroslav Škopán, CSc.

Syllabus

1. Basic concepts, production and logistics concepts.
2. Management systems in logistics.
3. Inter-facility transport and alternative energy concepts. *
4. Intra-plant transport and sustainability of hybrid drives. *
5. Production logistics. .
5. Production logistics.
6. Stock management.
7. Business process management.
8. System analysis, data analysis.
9. Planning and optimization of logistics systems.
10. Methodology of assessment and selection of alternatives.
11. Modern logistics trends in the automotive industry.
12. Computer simulation of logistics systems.
13. Digital factory, industry 4.0.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Miroslav Škopán, CSc.

Syllabus

1. Calculations of performance indicators of logistics systems.
2. Calculations for various logistic control systems.
3. Determination of material call-off parameters.
4. Determination of the required number of handling equipment in a given system, concept of a handling system with alternative energy source. *
5. Concept of logistic circuits, analysis of the location of stations in the layout, optimization of energy costs. *
6. Performing ABC / XYZ analyzes for the specified storage system.
7. Calculations according to methodology of industrial engineering (MTM, TPM, SMED).
8. Assessment and decomposition of a given system according to several technical parameters.
9. Material flow analysis: VAM, NW corner method, Gantt chart, energy balance. *
10. Multi-criteria analysis of handling equipment using hybrid drives . *
11. Testing with simulation model - material flow, logistic chains.
12. Testing with simulation model - complex logistics systems.
13. Testing with simulation model - energy simulation. *