545-0192/01 – Smart logistic (SL)
| Gurantor department | Department of Economics and Control Systems | Credits | 5 |
| Subject guarantor | doc. Ing. Pavel Staša, Ph.D. | Subject version guarantor | doc. Ing. Pavel Staša, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2021/2022 | Year of cancellation | |
| Intended for the faculties | HGF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is to familiarize students with the principles of modern logistics and the application of digital and intelligent technologies in the management of logistics processes. The course develops knowledge in the areas of logistics information systems, automatic identification technologies, data analytics, the Internet of Things, intelligent transportation systems, autonomous logistics technologies, and Industry 4.0 concepts.
Upon completion of the course, students will understand the fundamental principles of designing, managing, and monitoring logistics processes within supply chains and will be able to identify the benefits and limitations of selected smart technologies in logistics practice. Students will gain the ability to navigate current trends in logistics digitalization, work with basic logistics performance indicators, and apply acquired knowledge in the analysis and evaluation of logistics processes.
Teaching methods
Lectures
Tutorials
Project work
Summary
The course provides an overview of modern approaches and technologies applied in the field of Smart Logistics. Students will become familiar with the fundamental principles of logistics systems and supply chains, logistics information systems, and digital transformation strategies in logistics. Particular attention is given to automatic identification technologies, including barcodes, QR codes, and RFID, as well as logistics data standardization and the traceability of material and information flows.
Additional topics include data analytics, logistics performance measurement using key performance indicators (KPIs), applications of the Internet of Things, digital twins, and Industry 4.0 concepts. Students will also gain an understanding of Smart Cities, intelligent transportation systems, autonomous logistics technologies, automated warehouse systems, and modern approaches to inventory management, warehousing, and material flow control. The course further addresses quality, efficiency, and sustainability aspects of logistics processes.
Upon Completion of the Course, Students Will Achieve the Following Learning Outcomes
Professional Knowledge
Students will be able to:
- explain the fundamental principles of logistics systems and supply chain operations;
- describe the architecture and functions of logistics information systems;
- characterize the principles of automatic identification technologies (barcodes, QR codes, RFID) and their applications in logistics;
- explain the role of the Internet of Things, digital twins, and Industry 4.0 concepts in logistics environments;
- describe the principles of intelligent transportation systems and smart warehousing technologies.
Professional Skills
Students will be able to:
- analyze basic logistics processes and identify opportunities for their digitalization;
- interpret selected logistics performance indicators (KPIs);
- assess the suitability of smart technologies for specific logistics applications;
- apply basic principles of traceability and monitoring of logistics flows;
- compare alternative logistics solutions with respect to efficiency and sustainability.
General Competencies
Students will be able to:
- orient themselves in current trends in Smart Logistics and digital transformation;
- independently search for, critically evaluate, and interpret professional information sources;
- present and discuss logistics solutions using appropriate professional terminology;
- consider economic, technical, and environmental aspects when evaluating logistics processes and technologies.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
presentation of semester project, written and oral exam
E-learning
For communication beyond in-person lectures and exercises, the Moodle learning management system (lms.vsb.cz) is used. This platform facilitates communication not only between the instructor and students but also among students themselves.
Other requirements
Students prepare individual semester work, which demonstrates the skills and verify their knowledge acquired during lessons.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Logistics - origin and historical development, basic concepts of logistics
2. Logistics information system. Customer order cycle. Progressive order processing systems
3. Lean manufacturing systems, JIT vs. JIS
4. Automatic identification in the logistics chain
5. RFID technology in logistics
6. EPCIS system in logistics, EPCglobal Network
7. Internet of Things and Industry 4.0 in logistics
8. Concept of Smart Cities, Smart Logistics
9. Intelligent and assistance systems in transport
10. Augmented and virtual reality in logistics
11. Inventory theory - meaning, division of inventories. Supply logistics.
12. Storage, types of storage
13. Material flow control. Disconnection point. Concept of Total Quality Management
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction