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Lecturer(s)
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Tuček David, prof. Ing. Ph.D.
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Sedlák Josef, doc. Ing. Ph.D.
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Course content
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- Classical Industrial Engineering methods, - Modern Industrial Engineering methods, - Industry 4.0 concept and Pillars, - Cyber-physical systems that interconnecting human work activities, - Further virtualization - sharing a virtual copy of production systems, usable in - Virtual 3D planning and control simulation models. - Business Process Management, - The ability of cyber-physical systems to make real-time decisions on manufacturing processes inform of a digital manager. - Engineering production management, - Engineering technology and selected conventional machining technologies. - Modern CAD, CAM and CNC technologies, - Additive technologies - Rapid Prototyping technology and reverse engineering technologies are a separate part of the study course. - Data availability and digital manager in real-time - Definition of services claimed by manufacturing processes - Systems with full electronic support for on-line production process management. - The concern on modularity - flexible adaptation of smart plants and smart manufacturing technologies.
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Learning activities and teaching methods
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Lecturing, Monologic (Exposition, lecture, briefing), Methods for working with texts (Textbook, book), Teamwork, Analysis of a presentation, Individual work of students, E-learning
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| prerequisite |
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| Knowledge |
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| Output knowledge (the student demonstrates this knowledge): The graduate will be able to: - define the basic terminology of the whole issue - describe a production system - define the basic elements of a production system - define the basic requirements for a production system - explain the essence of Industry 4.0 and all its pillars - describe the process of implementing quality management tools - characterise the identification and analysis tools used in systems management - interpret the essence of digitising production with MES systems - discuss process improvement by using quality management tools - formulate the basic procedure for calculating the risk number in the context of the FMEA methodology, - understand the entire Design of Experiment (DOE) process - discuss the essence of the DMAIC cycle in relation to 6 Sigma - explain the basic pitfalls of digitalization of industry and services in relation to INDUSTRY 4.0. - formulate the basic pillars of Total Quality Management - express the structure of a Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to these standards - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 series and VDA standards - analyse the company's level of orientation towards continuous process improvement - identify the quality loop - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them |
| Output knowledge (the student demonstrates this knowledge): The graduate will be able to: - define the basic terminology of the whole issue - describe a production system - define the basic elements of a production system - define the basic requirements for a production system - explain the essence of Industry 4.0 and all its pillars - describe the process of implementing quality management tools - characterise the identification and analysis tools used in systems management - interpret the essence of digitising production with MES systems - discuss process improvement by using quality management tools - formulate the basic procedure for calculating the risk number in the context of the FMEA methodology, - understand the entire Design of Experiment (DOE) process - discuss the essence of the DMAIC cycle in relation to 6 Sigma - explain the basic pitfalls of digitalization of industry and services in relation to INDUSTRY 4.0. - formulate the basic pillars of Total Quality Management - express the structure of a Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to these standards - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 series and VDA standards - analyse the company's level of orientation towards continuous process improvement - identify the quality loop - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them |
| Skills |
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| Exit skills (the student demonstrates the following skills upon completion of the course): Application of selected methods and tools of industrial engineering in practice - 5S, SMED, Poka Yoke, Lean Administration methods Designing visualization board for Shop Floor Management Calculation of the indicators of the production process - production batches, Overall Equipment Effectiveness, production capacity Designing the tact of production lines and production line timing Assessment of the production process and identifying a bottleneck in it Determining the required number of machines for production Planning of material needs based on the Material Requirements Planning (MRP I) method Performing a comparison of several options for the spatial solution (layout) of production |
| Exit skills (the student demonstrates the following skills upon completion of the course): Application of selected methods and tools of industrial engineering in practice - 5S, SMED, Poka Yoke, Lean Administration methods Designing visualization board for Shop Floor Management Calculation of the indicators of the production process - production batches, Overall Equipment Effectiveness, production capacity Designing the tact of production lines and production line timing Assessment of the production process and identifying a bottleneck in it Determining the required number of machines for production Planning of material needs based on the Material Requirements Planning (MRP I) method Performing a comparison of several options for the spatial solution (layout) of production |
| learning outcomes |
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| Knowledge |
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| Knowledge of IE methods, system thinking, complex understanding of the production system, the connection between areas: processes, IS / ICT, organization Student will be able to work with the information sources, define specific research problem and research questions, formulate scientific hypotheses, to apply qualitative and quantitative methods in research and to use mathematical and statistical methods for data analysis. |
| Knowledge of IE methods, system thinking, complex understanding of the production system, the connection between areas: processes, IS / ICT, organization Student will be able to work with the information sources, define specific research problem and research questions, formulate scientific hypotheses, to apply qualitative and quantitative methods in research and to use mathematical and statistical methods for data analysis. |
| Output knowledge (the student demonstrates this knowledge): The graduate will be able to: - define the basic terminology of the whole issue - describe a production system - define the basic elements of a production system - define the basic requirements for a production system - explain the essence of Industry 4.0 and all its pillars - describe the process of implementing quality management tools - characterise the identification and analysis tools used in systems management - interpret the essence of digitising production with MES systems - discuss process improvement by using quality management tools - formulate the basic procedure for calculating the risk number in the context of the FMEA methodology, - understand the entire Design of Experiment (DOE) process - discuss the essence of the DMAIC cycle in relation to 6 Sigma - explain the basic pitfalls of digitalization of industry and services in relation to INDUSTRY 4.0. - formulate the basic pillars of Total Quality Management - express the structure of a Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to these standards - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 series and VDA standards - analyse the company's level of orientation towards continuous process improvement - identify the quality loop - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them |
| Output knowledge (the student demonstrates this knowledge): The graduate will be able to: - define the basic terminology of the whole issue - describe a production system - define the basic elements of a production system - define the basic requirements for a production system - explain the essence of Industry 4.0 and all its pillars - describe the process of implementing quality management tools - characterise the identification and analysis tools used in systems management - interpret the essence of digitising production with MES systems - discuss process improvement by using quality management tools - formulate the basic procedure for calculating the risk number in the context of the FMEA methodology, - understand the entire Design of Experiment (DOE) process - discuss the essence of the DMAIC cycle in relation to 6 Sigma - explain the basic pitfalls of digitalization of industry and services in relation to INDUSTRY 4.0. - formulate the basic pillars of Total Quality Management - express the structure of a Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to these standards - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 series and VDA standards - analyse the company's level of orientation towards continuous process improvement - identify the quality loop - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them |
| Skills |
|---|
| Exit skills (the student demonstrates the following skills upon completion of the course): Application of selected methods and tools of industrial engineering in practice - 5S, SMED, Poka Yoke, Lean Administration methods Designing visualization board for Shop Floor Management Calculation of the indicators of the production process - production batches, Overall Equipment Effectiveness, production capacity Designing the tact of production lines and production line timing Assessment of the production process and identifying a bottleneck in it Determining the required number of machines for production Planning of material needs based on the Material Requirements Planning (MRP I) method Performing a comparison of several options for the spatial solution (layout) of production |
| Exit skills (the student demonstrates the following skills upon completion of the course): Application of selected methods and tools of industrial engineering in practice - 5S, SMED, Poka Yoke, Lean Administration methods Designing visualization board for Shop Floor Management Calculation of the indicators of the production process - production batches, Overall Equipment Effectiveness, production capacity Designing the tact of production lines and production line timing Assessment of the production process and identifying a bottleneck in it Determining the required number of machines for production Planning of material needs based on the Material Requirements Planning (MRP I) method Performing a comparison of several options for the spatial solution (layout) of production |
| teaching methods |
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| Knowledge |
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| E-learning |
| E-learning |
| Lecturing |
| Lecturing |
| Monologic (Exposition, lecture, briefing) |
| Monologic (Exposition, lecture, briefing) |
| Analysis of a presentation |
| Methods for working with texts (Textbook, book) |
| Methods for working with texts (Textbook, book) |
| Individual work of students |
| Individual work of students |
| Teamwork |
| Teamwork |
| Analysis of a presentation |
| assessment methods |
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| Analysis of a presentation given by the student |
| Analysis of a presentation given by the student |
| Analysis of seminar paper |
| Analysis of seminar paper |
| Essay |
| Composite examination (Written part + oral part) |
| Composite examination (Written part + oral part) |
| Qualifying examination |
| Qualifying examination |
| Essay |
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Recommended literature
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AB SANDVIK COROMANT - SANDVIK CZ s.r.o. Příručka obrábění - Kniha pro praktiky. Praha, Scientia, s.r.o, 1997. ISBN 91-97 22 99-4-6.
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AREZES, P.M., CARVALHO. P.V.R. Ergonomics and human factors in safety management. Boca Raton: CRC Press, Taylor & Francis Group, 2016. ISBN 978-1-4987-2756-3.
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BADIRU, A. B. Handbook of industrial and systems engineering. Boca Raton: CRC Press, 2014. ISBN 978-1-4665-1504-8.
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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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BOZARTH, Cecil C. a Robert B. HANDFIELD. Introduction to operations and supply chain management. Boston: Pearson, 2016. ISBN 978-1-292-09342-0.
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BRAU, Sebastian J. Lean manufacturing 4.0: the technological evolution of lean : practical guide on the correct use of technology in lean projects Kanban, 5S, TPM, Kaizen, VSM, 6Sigma, SMED OEE, Hoshin Kanri, Gemba, JIT, TPS, PDCA.. Boca Raton: American Lean SD,, 2016. ISBN 978-15-393-2294-8.
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CHUA, C. K., LEONG, K. F., LIM, C. S. Rapid Prototyping: Principles and Applications. New Jersey: World Scientific, 2010. ISBN 978-981-277-897-0.
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KALPAKJIAN, Serope. Manufacturing engineering and technology. Singapore, 2014. ISBN 978-981-06-9406-7.
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RAJA, V., FERNANDES, K. J. Reverse Engineering: An Industrial Perspective. Series: Springer Series in Advanced Manufacturing, 2008. ISBN 978-1-84628-856-2.
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SHAW, M.C. Metal Cutting Principles. Oxford University Press, 2005. ISBN 0-19-514206-3.
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TLUSTY, J. Manufacturing Process and Equipment. Prentice Hall, 1999. ISBN 10-0201498650.
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USTUNDAG, Alp a Emre CEVIKCAN. Industry 4.0: managing the digital transformation. Switzerland: Springer, 2018. ISBN 978-3-319-57869-9.
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