Course: Planning and Simulation of Production Processes

« Back
Course title Planning and Simulation of Production Processes
Course code AUART/AE7PP
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Vašek Lubomír, doc. Ing. CSc.
  • Chramcov Bronislav, doc. Ing. Bc. Ph.D.
  • Krayem Said, prof. Ing. CSc.
Course content
1. Systems, basic terminology, their classification, and basic properties 2. Methods for analysis of behavior and properties of systems 3. Models and modeling, the definition of simulation 4. Simulation study and its individual stages 5. Production (manufacturing) systems, their division, and basic characteristics, information flow in production systems 6. Planning and management of production processes, their principles, and basic procedures 7. Simulation applications in the field of production systems 8. Compilation of models of continuous production systems 9. Simulation of continuous production systems. 10. Basic methods of modeling and simulation of discontinuous systems 11. Compilation of models of discontinuous production systems 12. Discrete Event simulation, create and use of event calendar. 13. Modeling of stochastic systems, use of statistical methods, generation of random variables. 14. Planning and evaluation of simulation experiments

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Exercises on PC, Individual work of students
  • Participation in classes - 56 hours per semester
  • Preparation for examination - 10 hours per semester
prerequisite
Knowledge
Knowledge of: Mathematic, especially mathematic analysis, numeric mathematic and statistic Object programming
Knowledge of: Mathematic, especially mathematic analysis, numeric mathematic and statistic Object programming
learning outcomes
The student has knowledge important for a complex understanding of principles and methods used for planning and simulation of dynamic systems. The student is able to create simulation models within technical fields, especially in manufacturing and to realize simulation studies as a method of the practical application of simulation processes into extensive stochastic dynamic systems within different application fields. The student acquires the ability to practically realize his/her theoretical knowledge during practical experiments using a particular simulation software system.
The student has knowledge important for a complex understanding of principles and methods used for planning and simulation of dynamic systems. The student is able to create simulation models within technical fields, especially in manufacturing and to realize simulation studies as a method of the practical application of simulation processes into extensive stochastic dynamic systems within different application fields. The student acquires the ability to practically realize his/her theoretical knowledge during practical experiments using a particular simulation software system.
teaching methods
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
Exercises on PC
Individual work of students
Exercises on PC
Individual work of students
assessment methods
Analysis of works made by the student (Technical products)
Analysis of works made by the student (Technical products)
Written examination
Written examination
Recommended literature
  • Noskievič, P. Simulace systémů. Ostrava : VŠB-TU, 1996. ISBN 80-7078-112-2.
  • Vašek, V., Vašek,L. Simulace systémů. Praha : MON, 1990. ISBN 80-214-0262-8.
  • Vicher, Miroslav. Numerická matematika. Praha: M-FF Univerzita Karlova, 2003.
  • Woods, Robert L. Modeling and simulation of dynamic systems. Upper Saddle River, N.J. : Prentice Hall, 1997. ISBN 0-13-337379-7.
  • Zítek, P. Matematické a simulační modely 1. Praha : ČVUT, 2001. ISBN 80-01-02300-1.


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