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Lecturer(s)
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Chromjaková Felicita, prof. Ing. PhD.
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Vavrušová Veronika, Ing.
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Course content
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The concept of Industry 4.0, key characteristics of the digitization and automation of industrial companies and processes. The essence of designing production processes for Industry 4.0. Stabilization of business processes. Manufacturing Process Design Concepts for Industry 4.0. Modular systems of smart technologies. Organizational and managerial production processes. Source design of manufacturing process in Industry 4.0. Process approach to setting and optimizing digitized processes. Continuous improvement in automated and digitized processes. Industry Trends 4.0.
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Learning activities and teaching methods
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Monologic (Exposition, lecture, briefing), Activating (Simulation, games, dramatization)
- Participation in classes
- 30 hours per semester
- Participation in classes
- 15 hours per semester
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| prerequisite |
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| Knowledge |
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| Gaining knowledge from professional subjects Introduction to industrial engineering, Management and organization of production. Knowledge of information technology in relation to technical and technological support of production. Knowledge of mathematics and statistics. Knowledge of production system design. Knowledge of production process control. |
| Gaining knowledge from professional subjects Introduction to industrial engineering, Management and organization of production. Knowledge of information technology in relation to technical and technological support of production. Knowledge of mathematics and statistics. Knowledge of production system design. Knowledge of production process control. |
| Skills |
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| Knowledge of basic topics in the field of industrial engineering, management, production technology, statistics. Identification of the essence of the production digitization process. The ability to connect processes using the tools of automation and digitization of production. The ability to design options for automation and digitization of the production process. Knowledge of the nature of selected automation and digitization tools for production. |
| Knowledge of basic topics in the field of industrial engineering, management, production technology, statistics. Identification of the essence of the production digitization process. The ability to connect processes using the tools of automation and digitization of production. The ability to design options for automation and digitization of the production process. Knowledge of the nature of selected automation and digitization tools for production. |
| learning outcomes |
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| Knowledge |
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| Knowledge of the essence of an automated and digitized production system. Ability to identify key elements of automation and digitization of production. Ability to design processes suitable for automation and digitization of production. The student can create a concept of automation and digitization of production. The student is able to create a process map of automation and digitization of production. |
| Knowledge of the essence of an automated and digitized production system. Ability to identify key elements of automation and digitization of production. Ability to design processes suitable for automation and digitization of production. The student can create a concept of automation and digitization of production. The student is able to create a process map of automation and digitization of production. |
| Skills |
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| Analyze the content of the process from the point of view of requirements for automation and digitization. The student manages to design the concept of automation and digitization of production procedures. Can implement selected data analysis and data linking tools in the information system. The student is able to implement partial improvements in information flows. Can argue the results of the proposed solution for the automation and digitization of production. |
| Analyze the content of the process from the point of view of requirements for automation and digitization. The student manages to design the concept of automation and digitization of production procedures. Can implement selected data analysis and data linking tools in the information system. The student is able to implement partial improvements in information flows. Can argue the results of the proposed solution for the automation and digitization of production. |
| teaching methods |
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| Knowledge |
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| Monologic (Exposition, lecture, briefing) |
| Monologic (Exposition, lecture, briefing) |
| Activating (Simulation, games, dramatization) |
| Activating (Simulation, games, dramatization) |
| assessment methods |
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| Analysis of educational material |
| Analysis of educational material |
| Composite examination (Written part + oral part) |
| Composite examination (Written part + oral part) |
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Recommended literature
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BARTODZIEJ, Christoph Jan. The concept industry 4.0: an empirical analysis of technologies and applications in production logistics. Wiesbaden: Springer Gabler, 2018. ISBN 978-3-658-16501-7.
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CHROMJAKOVÁ, F., TUČEK, D., BOBÁK, R. Projektování výrobních procesů pro Průmysl 4.0.. Zlín: Univerzita Tomáše Bati ve Zlíně, 2017. ISBN 978-80-7454-680-8.
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Chromjaková, Felicita. Průmyslové inženýrství. GEORG. ISBN 978-80-8154-058-5.
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USTUNDAG, A., CEVIKCAN, E. Industry 4.0: Managing The Digital Transformation. Springer Verlag, 2018. ISBN 978-3-319-57870-5.
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