Course: Industrial Engineering and Innovative Production Concepts

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Course title Industrial Engineering and Innovative Production Concepts
Course code MUPI/4PIIE
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Summer
Number of ECTS credits 0
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Chromjaková Felicita, prof. Ing. PhD.
  • Molnár Vieroslav, prof. Ing. Ph.D.
Course content
1. Industrial engineering - history and current trends (Bata concept, Toyota Production System, INDUSTRY 4.0). 2. Analysis of industrial engineering methods and tools from the perspective of quantitative and qualitative methods of scientific research. 3. Innovative concepts of WOIS, TRIZ, Ideen Management and others - implementation in industrial engineering projects. 4. Project-driven digital enterprise - design of digitized processes in industrial companies. Analysis of tools using innovative methods in industrial engineer practice.

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Activating (Simulation, games, dramatization), Teamwork, Analysis of a presentation
  • Participation in classes - 15 hours per semester
  • Participation in classes - 15 hours per semester
prerequisite
Knowledge
Completion of the selected study program Industrial Engineering, Economics and Management, Technological Engineering, Process Engineering. Knowledge of technical and technological design of production systems. Knowledge of the design of production and supporting production systems. Experience in the field of designing production systems.
Completion of the selected study program Industrial Engineering, Economics and Management, Technological Engineering, Process Engineering. Knowledge of technical and technological design of production systems. Knowledge of the design of production and supporting production systems. Experience in the field of designing production systems.
Skills
The student controls selected tools of industrial engineering. It handles the processes of data identification and data analysis to detect selected parameters of the production system. Can clearly determine the key attributes of the projected production system. He controls the methodology of designing the production system. He is able to propose optimization solutions for the production system based on exact data.
The student controls selected tools of industrial engineering. It handles the processes of data identification and data analysis to detect selected parameters of the production system. Can clearly determine the key attributes of the projected production system. He controls the methodology of designing the production system. He is able to propose optimization solutions for the production system based on exact data.
learning outcomes
Knowledge
The student has knowledge of the key attributes of the projected production system. Can clearly identify process and system functionalities and attributes of production system elements. Based on mathematical and statistical analysis, it predicts the parameters of the projected production system. It is able to set the process links of the projected production system. It manages the process of balancing the designed production system with respect to the given target functions.
The student has knowledge of the key attributes of the projected production system. Can clearly identify process and system functionalities and attributes of production system elements. Based on mathematical and statistical analysis, it predicts the parameters of the projected production system. It is able to set the process links of the projected production system. It manages the process of balancing the designed production system with respect to the given target functions.
Skills
The student manages to identify the needs and requirements for the target functionalities of the designed production system. Can argue the requirements that must be integrated into the production system project. He masters deterministic and stochastic methods of designing a production system. Can set and interpret objectives and metrics for assessing the effectiveness of the designed production system. He has management skills to support the setting of information flows in production design processes.
The student manages to identify the needs and requirements for the target functionalities of the designed production system. Can argue the requirements that must be integrated into the production system project. He masters deterministic and stochastic methods of designing a production system. Can set and interpret objectives and metrics for assessing the effectiveness of the designed production system. He has management skills to support the setting of information flows in production design processes.
teaching methods
Knowledge
Teamwork
Teamwork
Analysis of a presentation
Analysis of a presentation
Activating (Simulation, games, dramatization)
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
Activating (Simulation, games, dramatization)
assessment methods
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Preparation of a presentation
Preparation of a presentation
Recommended literature
  • Bartodzej,Ch.J. The Concept Industry 4.0. Springer Verlag, 2017. ISBN 978-3-658-16502-4.
  • Heizer, J., Render, B., Munson, CH. Operations Management. Pearson Publishing, 2017. ISBN 978-1-292-14863-2.
  • HLEVI, G. Handbook of Production Management Method. Butterworth-Heinemann, 2001. ISBN 9780750650885.
  • 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.
  • Chromjaková, Felicita. Průmyslové inženýrství - Trendy zvyšování výkonnosti štíhlým řízením procesů. Georg Žilina, 2013. ISBN 978-80-8154-058-5.
  • Liker,J.K. The Toyota Way. McGraw-Hill, 2004. ISBN 9780071435635.
  • USTUNDAG, A., CEVIKCAN, E. Industry 4.0: Managing The Digital Transformation. Springer Verlag, 2018. ISBN 978-3-319-57870-5.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester