Course detail

Modelling and Simulation of Production Systems

FSI-GMV-AAcad. year: 2020/2021

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 continuous and 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, operational control and ergonomics.

Language of instruction

English

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. František Bradáč, Ph.D.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

Offered to foreign students

The home faculty only

Learning outcomes of the course unit

Students will acquire the knowledge necessary for a deeper understanding of the principles and methods used in simulation. They will learn to apply this knowledge in the creation of simulation models in the field of technical, especially production systems.
Students should be able to prepare a simulation model of production, to process and evaluate various alternatives.

Prerequisites

The student should be able to:
- knowledge of basic principles of production systems and machines and their functionality
- basic knowledge of mathematics in the field of differential equations, matrix operations and statistics
- Basic PC skills including various types of data processing software (Excel, Matlab, etc.).

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.
According to the possibility of teaching can be organized lectures for students by practitioners and excursions to companies focused on activities related to the course content.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is conditional on the following:
1. Attendance at exercises (except documented excusable absence)
2. Fulfillment of the conditions of continuous control (preparation for exercise, activity during exercise); these requirements will be specified at the beginning of the semester in practice.
3. Elaboration and demonstration of assigned tasks

Examination:
The exam verifies the acquired knowledge. The exam is combined. In the written part verifies the ability of the student to apply the acquired knowledge and methods in the test and in the oral part if necessary verifies the knowledge of theoretical foundations.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The course aims to provide students with skills in computer simulation systems, especially manufacturing systems. Students will acquire skills in the preparation of simulation models, both continuous and discrete. Furthermore, they learn about methods of linking continuous and discrete modeling.

Specification of controlled education, way of implementation and compensation for absences

Attendance at obligatory lessons is checked and only substantial reasons of absence are accepted. Missed lessons can be substituted for via solution of extra exercises.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation and SLAM II
AIM Manuals
Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
Jerry Banks, Discrete-Event System Simulation

Recommended reading

Kuneš Jozef a kol.: Základy modelování ,SNTL , 1989
Neuschl Štefan a kol.: Modelovanie a simulácia, ALFA, 1989
Zítek Pavel: : Simulace dynamických systémů , SNTL, 1989

Classification of course in study plans

  • Programme M2E-A Master's

    branch M-IND , 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. František Bradáč, Ph.D.

Syllabus

1. Introduction to modeling and simulation of systems. Systems analysis and classification. Basic concepts of systems theory.
2. Mathematical basics of modeling and simulation.
3.-4. Classification of models. Basic methods of continuous systems modeling.
5.-6. Classification of models. Basic methods of discrete systems modeling.
7. Event-driven simulation method, compilation and use of event calendar
8.-9. Modeling of stochastic systems, use of statistical methods, generation of random variables.
10. Traceability of real technical systems of production systems in discrete simulation.
11. Simulation languages, overview of basic tools for model and experiment description.
12. Evaluation and visualization of simulation results.
13. Interconnection of real and simulated systems, data exchange, model verification.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. František Bradáč, Ph.D.

Syllabus

1.-2. Simulation languages, overview of basic tools for model and experiment description. Basic principles of simulation systems implementation.
3. Continuous modeling - model creation and work with it.
4.-6.Discrete modeling, event-driven modeling, model preparation and creation.
7.-8. Interconnection of continuous and discrete modeling.
9. Methods modeling of production systems in the typical condition of use of sensor data; ways of linking the model to off-line and on-line data in the context of Industry 4.0; Using the model for design and planning of production system.
10.-13. Individual project work