Modelling and Simulation of Production Systems (FSI-GMV-A)

Academic year 2018/2019
Supervisor: Ing. Jiří Kovář, Ph.D.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: English
Aims of the course unit:
· 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
Learning outcomes and competences:
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.
Course contents:
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.
Teaching methods and criteria:
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.
Controlled participation in lessons:
Lessons are completed according to the FSI schedule. Missed lessons can be individually compensated, if necessary.
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Computer-assisted exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Lecture 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
    Computer-assisted exercise 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
Literature - fundamental:
1. Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
2. A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation and SLAM II
3. AIM Manuals
4. Jerry Banks, Discrete-Event System Simulation
Literature - recommended:
1. Neuschl Štefan a kol.: Modelovanie a simulácia, ALFA, 1989
2. Kuneš Jozef a kol.: Základy modelování ,SNTL , 1989
3. Zítek Pavel: : Simulace dynamických systémů , SNTL, 1989
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-Z visiting student M-STI Mechanical Engineering -- Cr,Ex 4 Recommended course 2 1 W