Course detail

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.

Prerequisites

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.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

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
AIM Manuals
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

English

Work placements

Not applicable.

Aims

· 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.

Classification of course in study plans

  • Programme M2E-A Master's

    branch M-IND , 1. year of study, summer semester, 4 credits, compulsory

  • Programme M2I-Z Master's

    branch M-STI , 1. year of study, summer semester, 4 credits, recommended

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

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
7) AweSim
8) AIM
9) Using simulation approaches in industry
10) Interactive graphic simulation systems
11) CAD systems and simulation
12) Simulation of FMS
13) FACTOR

seminars in computer labs

26 hours, compulsory

Teacher / Lecturer

Syllabus

1. Overview of modelling components
2. Projects and alternatives
3. Orders and parts
4. Process plans
5. Jobsteps
· Accumulate-Split, Add-to-Material, Assemble, Assign, Batch, Inspect, Kanban, Manufacture, Move, Operation, Produce, Release, Select

6. Resources, pools, materials
7. Conveyors,
8. AGV
9. Transporters
10. Loads
11. Batches
12. User Defined Components
13. Examples

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