Modelling and Simulation of Production Systems
FSI-GMV-AAcad. year: 2019/2020
The aim of the course is to provide students with the practical knowledge in the field of modern methods for the simulation and modelling of production systems in kontext of Industry 4.0. It focuses primarily on technological processes and manufacturing systems and applies the principles of discrete simulation for their modelling. The application of simulation methods to designing and controlling discrete systems and processes is analysed, in the field of a strategic planning and operational control. Modern simulation software products are used in the lessons.
Learning outcomes of the course unit
Practice experiences and knowledge in the field of Planning, Scheduling and Simulation are obtained from students. Students are able to build simulation model and using this one to solve various planning and design problems using modern interactive simulation tools.
Discrete Distribution, Continuous Distribution, Empirical Distribution. Random Number Generation, Random Number Streams. Random Variable Generation: Exponential Distribution, Uniform Distribution, Weibull Distribution, Triangular Distribution, Poison Distribution, Gamma Distribution. MS SQL Server, MS Access, SQL. Theory of Production Systems.
Recommended optional programme components
Recommended or required reading
Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
Neuschl Štefan a kol.: Modelovanie a simulácia, ALFA, 1989
Kuneš Jozef a kol.: Základy modelování ,SNTL , 1989
A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation and SLAM II
Zítek Pavel: : Simulace dynamických systémů , SNTL, 1989
Jerry Banks, Discrete-Event System Simulation
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes
Credit requirements: Participation in the exercises and the elaboration of semester work are required.
Examination: Combined - the examination consists of an oral and written part.
Language of instruction
· To explain the principles of computer simulation of discrete systems.
· To describe SW and HW required
· To prepare simulation model of production and to analyze the outputs
· To integrate the simulation system into a CIM structure of production systems
Specification of controlled education, way of implementation and compensation for absences
Lessons are completed according to the FSI schedule. Missed lessons can be individually compensated, if necessary.
Type of course unit
26 hours, optionally
Teacher / Lecturer
1) Mathematical fundamentals of simulation
2) Description and specific features of simulation methods
3) Analytical modeling of discrete systems
4) Discrete simulation
5) Discrete simulation languages
6) SLAM II, SLAMSYSTEM
9) Using simulation approaches in industry
10) Interactive graphic simulation systems
11) CAD systems and simulation
12) Simulation of FMS
seminars in computer labs
26 hours, compulsory
Teacher / Lecturer
1. Overview of modelling components
2. Projects and alternatives
3. Orders and parts
4. Process plans
· Accumulate-Split, Add-to-Material, Assemble, Assign, Batch, Inspect, Kanban, Manufacture, Move, Operation, Produce, Release, Select
6. Resources, pools, materials
12. User Defined Components
eLearning: currently opened course