Course: Technological Projecting

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Course title Technological Projecting
Course code TUVI/TP9TP
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Sedlačík Michal, prof. Ing. Ph.D.
  • Monka Peter Pavol, doc. Ing. Ph.D.
Course content
1. Introduction to industrial engineering - definition, history, classical vs. modern industrial engineering. 2. System design of production base, system theory, behavior, structure, system orders, mutual relations in the system, data collection, methods of obtaining project input data, analyses, pre-project preparation. 3. General, phases and stages of technological design. 4. Calculations of areas, machines, workers, exchange rate, economic evaluation of projects, efficiency, payback period. 5. Determining the dimensions of the workshop, calculating the distance of machines from the foundations of the building, designing the foundations. 6. Methods of optimization of the location of machines, workplaces and objects, mutual relations. 7. Chessboard table, Sankey diagram, cross table of relations, block diagram. 8. Project solution of mechanical operations, solution of waste management and warehouses, design of social and administrative buildings. 9. Project solution of foundries, forges, presses and welding shops. 10. Project solution of plastics, heat treatment and surface treatment workshops. 11. Project solution of assembly workplaces, robotic workplaces. 12. Connections of production and service spheres, peripherals, design of workshops with NC machines, lines, production automation. 13. Material handling in the field of technological design. 14. Hygiene of the working environment, the role of the designer in the field of occupational safety.

Learning activities and teaching methods
Lecturing, Practice exercises
  • Preparation for course credit - 90 hours per semester
prerequisite
Knowledge
Advanced knowledge of the characteristics of production technologies.
Advanced knowledge of the characteristics of production technologies.
Knowledge of multi-criteria optimization of production operations, production procedures and optimization of associated factors - production batch size and warehouse optimization.
Knowledge of multi-criteria optimization of production operations, production procedures and optimization of associated factors - production batch size and warehouse optimization.
Basic knowledge of the theoretical characteristics of flexible automation - especially industrial robots and manipulators.
Basic knowledge of the theoretical characteristics of flexible automation - especially industrial robots and manipulators.
Skills
Skills in complex optimization of production operations and production procedures from the point of view of market, environmental, economic efficiency, energy demand and social requirements.
Skills in complex optimization of production operations and production procedures from the point of view of market, environmental, economic efficiency, energy demand and social requirements.
Skills for designing a simple flexible automated workplace.
Skills for designing a simple flexible automated workplace.
learning outcomes
Knowledge
Classification of systems engineering methods and tools.
Classification of systems engineering methods and tools.
Systematization of complex relations of production environment, product and production system.
Systematization of complex relations of production environment, product and production system.
Advanced knowledge of manufacturing process design principles.
Advanced knowledge of manufacturing process design principles.
Advanced knowledge of production system design principles from the point of view of ecological, social, energy and economic efficiency.
Advanced knowledge of production system design principles from the point of view of ecological, social, energy and economic efficiency.
Basic knowledge of designing production units.
Basic knowledge of designing production units.
Basic knowledge of dynamic simulations of production units.
Basic knowledge of dynamic simulations of production units.
Skills
Ability to select appropriate systems engineering methods and tools for application in given conditions.
Ability to select appropriate systems engineering methods and tools for application in given conditions.
Ability to innovate and optimize activities in the complex whole of the production environment, product and production system.
Ability to innovate and optimize activities in the complex whole of the production environment, product and production system.
Ability to apply appropriate tools for advanced multi-factor optimization of the production process.
Ability to apply appropriate tools for advanced multi-factor optimization of the production process.
Design a production unit for a simple production process.
Design a production unit for a simple production process.
Build a dynamic simulation model of a simple production unit in specialized software.
Build a dynamic simulation model of a simple production unit in specialized software.
teaching methods
Knowledge
Activating (Simulation, games, dramatization)
Activating (Simulation, games, dramatization)
Lecturing
Lecturing
Dialogic (Discussion, conversation, brainstorming)
Dialogic (Discussion, conversation, brainstorming)
Demonstration
Demonstration
Skills
Practice exercises
Practice exercises
Dealing with situational issues - learning in situations
Dealing with situational issues - learning in situations
Individual work of students
Individual work of students
Students working in pairs
Students working in pairs
Teamwork
Teamwork
assessment methods
Knowledge
Analysis of the student's performance
Analysis of the student's performance
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Recommended literature
  • Černý, Jaromír. Úvod do studia metod průmyslového inženýrství a systémů služeb. Vyd. 1. Zlín : Univerzita Tomáše Bati, 2004. ISBN 8073182270.
  • JABLONSKÝ, J. Operační výzkum. Praha : Professional Publishing, 2002. ISBN 80-86419-23-1.
  • Košturiak, Ján. Štíhlý a inovativní podnik. Praha : Alfa Publishing, 2006. ISBN 80-86851-38-9.
  • LIKER, J.K. The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer.. New York: McGrawHill, 2004. ISBN 0-07-139231-9.
  • Rumíšek, Pavel. Technologické projekty. Brno : VUT, 1991. ISBN 80-214-0385-3.
  • Tomek, Gustav. Řízení výroby. 2., rozš. a dopl. vyd. Praha : Grada, 2000. ISBN 8071699551.


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