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Lecturer(s)
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Tuček David, prof. Ing. Ph.D.
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Chromjaková Felicita, prof. Ing. PhD.
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Course content
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Theoretical definitions and approaches in the field of industrial engineering (Deming school, Ford, Bata, Ohno approaches). Scientific concepts of the systems approach to industrial engineering. Qualitative and quantitative process and systems analysis in industrial engineering. Methodology of industrial engineering process design. Concepts of Lean management and Industry 4.0, product and process innovation from the perspective of manufacturing systems design. Application of Industry 5.0 visions with a link to a more sustainable future and the integration of intelligent systems and robots into human work. Developments built on IoT and big data technologies in automated industrial environments aim to achieve new frontiers of sustainability in a future with uncertain resource availability. The Industry 5.0 paradigm is actively moving towards a green perspective with global environmental goals in particular. Process management, analysis, design, management and optimization of process structure, process indicators and data structure to support the organization and management of processes. Modelling and simulation of industrial engineering processes using selected process parameters. Process model stabilization, process monitoring based on flexibility and process optimization (Business Process Management, Value Stream Mapping, Commom Warehouse Metamodel). Project management, orientation and planning of projects in the field of stabilization, improvement and innovation of production systems, PMBOOK, DMAIC, SIPOC, WOISE methodologies, practical case studies and new developments in the field of design in industrial engineering Design in industrial engineering from the perspective of automation and digitalization of manufacturing systems, new developments in the triangle, organization-process-digitalization. Process flow research, data analysis and design of process links, man-machine, man-robot, robot-robot, analysis and standardization of work in digital processes, design of layouts and production scheduling, forecasting, e-processes in the areas of logistics, retooling, maintenance, teamwork, reporting. Process improvement methodology and optimization of efficient process systems in industrial engineering Design of digital manufacturing and production support processes based on the concepts of INDUSTRY 4.0 and 5.0
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Learning activities and teaching methods
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- Participation in classes
- 15 hours per semester
- Preparation for examination
- 38 hours per semester
- Term paper
- 30 hours per semester
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| learning outcomes |
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| Knowledge |
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| unspecified |
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| unspecified |
| After completing the course, students will be able to solve complex scientific research tasks in the field of improvement and innovation of production processes, set up and manage flexible production systems in industrial companies and the following skills: - define the basic terminology of the whole issue of concepts in industrial engineering - describe and apply knowledge applicable to the analysis, planning, organization, control and improvement of manufacturing systems with a complete design methodology. - define the principle of process control - explain the essence of Industry 5.0 and its pillars - express the process of introducing process management as well as the elements of a company's process model - outline and explain the process map - draw and discuss a process environment diagram - classify product and process innovations according to basic criteria in terms of the design of production systems - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them - interpret customer satisfaction - discuss the benefits of project management - use project orientation and planning to stabilise, improve and innovate production systems, - discuss the PMBOOK, DMAIC, SIPOC and WOISE methodologies, - specify the development trends in the "organization-process-digitization" triangle, - interpret the human-machine, human-robot, robot-robot, human-cobot links, - understand the analysis and standardisation of work in digital processes, - explain the design of layouts and production scheduling and forecasting, - e-processes in the areas of logistics, repackaging, maintenance, teamwork, reporting - explain the structure of the Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to them - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 and VDA standards - analyse the level of the company's orientation towards continuous process improvement - identify the quality loop - explain the essence of Business Process Excellence, i.e. competitiveness based mainly on exceptional process mastery - set up and manage flexible production systems in industrial companies |
| After completing the course, students will be able to solve complex scientific research tasks in the field of improvement and innovation of production processes, set up and manage flexible production systems in industrial companies and the following skills: - define the basic terminology of the whole issue of concepts in industrial engineering - describe and apply knowledge applicable to the analysis, planning, organization, control and improvement of manufacturing systems with a complete design methodology. - define the principle of process control - explain the essence of Industry 5.0 and its pillars - express the process of introducing process management as well as the elements of a company's process model - outline and explain the process map - draw and discuss a process environment diagram - classify product and process innovations according to basic criteria in terms of the design of production systems - calculate total productivity, partial productivity, express productivity standard and productivity index and explain the links between them - interpret customer satisfaction - discuss the benefits of project management - use project orientation and planning to stabilise, improve and innovate production systems, - discuss the PMBOOK, DMAIC, SIPOC and WOISE methodologies, - specify the development trends in the "organization-process-digitization" triangle, - interpret the human-machine, human-robot, robot-robot, human-cobot links, - understand the analysis and standardisation of work in digital processes, - explain the design of layouts and production scheduling and forecasting, - e-processes in the areas of logistics, repackaging, maintenance, teamwork, reporting - explain the structure of the Quality Management System - understand the basic local quality management tools - explain the structure of the ISO 900X standards and the certification according to them - divide the processes according to ISO 9001 (using the criteria table for dividing processes) - evaluate the use of the QS 9000 and VDA standards - analyse the level of the company's orientation towards continuous process improvement - identify the quality loop - explain the essence of Business Process Excellence, i.e. competitiveness based mainly on exceptional process mastery - set up and manage flexible production systems in industrial companies |
| Skills |
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| unspecified |
| unspecified |
| After completing the course, students will be able to solve complex research assignments in the area of manufacturing process improvement and innovation, the following skills: - describe the process flow using the SIPOC method - create a Swimlane process diagram - create a Value Stream Mapping using standard tools - create a comprehensive process model of an organisation - set measurable process performance indicators - Define a standardized project form format - demonstrate process improvement both in the form of the KAIZEN approach and on the basis of Business Process Reengineering - manage the improvement and innovation of production and administrative processes - link organisational and other business process groups - innovation and improvement processes |
| After completing the course, students will be able to solve complex research assignments in the area of manufacturing process improvement and innovation, the following skills: - describe the process flow using the SIPOC method - create a Swimlane process diagram - create a Value Stream Mapping using standard tools - create a comprehensive process model of an organisation - set measurable process performance indicators - Define a standardized project form format - demonstrate process improvement both in the form of the KAIZEN approach and on the basis of Business Process Reengineering - manage the improvement and innovation of production and administrative processes - link organisational and other business process groups - innovation and improvement processes |
| teaching methods |
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| Knowledge |
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| Text analysis |
| Text analysis |
| Individual work of students |
| Individual work of students |
| Lecturing |
| Lecturing |
| Teamwork |
| Teamwork |
| Skills |
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| Analysis of a presentation |
| Analysis of a presentation |
| Demonstration |
| Demonstration |
| Teamwork |
| Teamwork |
| Lecturing |
| Lecturing |
| assessment methods |
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| Knowledge |
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| Analysis of seminar paper |
| Analysis of seminar paper |
| Text analysis |
| Text analysis |
| Essay |
| Essay |
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Recommended literature
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BARTODZIEJ, CH. J. The concept industry 4.0: an empirical analysis of technologies and applications in production logistics.. Wiesbaden: Springer Gabler, 2017. ISBN 9783658165024.
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BIDANDA,B. Maynard?s Industrial and Systems Engineering ? Handbook. McGraw Hill, 2022. ISBN 978-1260461565.
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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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HEIZER, J., RENDER, B., MUNSON, CH. Operations Management: Sustainability and Supply Chain Management. Boston: Pearson Education, 2016. ISBN 978-1-292-14863-2.
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HOLT, J., WELLKIENS, T. Systems Engineering Demystified: Apply modern, model-based systems engineering techniques to build complex systems. Cpakt Publishing, 2023. ISBN 978-1804610688.
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KOSSIAKOFF, A., BIERNER, S. M., SEYMOUR, S.J., FLANIGA, D.A. Systems Engineering Principles and Practice. , John Wiley&Sons, 2020. ISBN 978-1-119-51666-8.
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LIU, D. Systems Engineering ? Design Principles and Models. CRC Press,, 2015. ISBN 978-1-466-50683-1.
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MASSARO, A. Electronics in advanced research industries: Industry 4.0 to Industry 5.0 advances. USA: John Wiley & Sons. 2022.
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SUBRAMANIAN, S. P. Transforming business with program management: integrating strategy, people, process, technology, structure, and measurement.. Boca Raton: CRC Press, Taylor & Francis Group, 2015. ISBN 978-1-4665-9099-1.
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UTHAYAN, E. Industry 5.0: The Future of the Industrial Economy.. 9781032041278, 2022. ISBN 978-1032041278.
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