Computer modelling and simulation in manufacturing
- Garant předmětu:
- Miroslav Žilka
- Pavel Scholz
- Pavel Scholz
- Department of Management and Economics
The course focuses on the problems of computer modelling and simulation that are becoming (not only thanks to Industry 4.0) an important element in designing new and improving existing manufacturing and logistics processes and systems. Engineering production and logistics is a very complex dynamic environment, whose understanding requires a complex and systematic approach. To better understanding of the production process and the system, design and optimization, there is a powerful tool - computer modelling and simulation. It becomes one of the necessary tools for responsible decision making of managers, economists, industrial engineers, planners, technologists and other professions.
- Syllabus of lectures:
1.Introduction (objectives and requirements of the course, PLM, SW used in the production area, Digital Factory)
2.Modelling and simulation (terminology, meaning, advantages and limitations, discrete simulation)
3.Steps in simulation study – Part 1 (introduction and specification of individual steps)
4.Steps in simulation study – Part 2 (introduction and specification of individual steps)
5.Implementation of computer simulation (methods of implementation, requirements, stages)
6.Simulation tools (instrument classification, instrument requirements, market offer)
7.Modelling and simulation of complex systems (examples of complex systems and their problematic areas)
- Syllabus of tutorials:
1.-7.Working with 3D software for discrete-event simulation of production and logistic systems and processes (environment, basic elements and their use on examples)
8.-10.Working with 3D software for discrete-event simulation of production and logistic systems and processes - a simpler example (analysis, modelling, simulation, optimization, evaluation)
11.-12.Working with 3D software for simulation of robotic cells and ergonomics (introducing the environment, creating a simple model)
13.Final verification of knowledge.
- Study Objective:
The first mission of the course is to acquire theoretical knowledge from modelling and simulation. The second mission is to introduce the functions, the work and the possibilities of using 2D and 3D software used for modelling and simulation (mostly from Siemens - Tecnomatix Plant Simulation, Process Simulate Human / Robotics). Acquired knowledge can be deepened, extended and especially applied to practical projects within the course Project II - Industrial Engineering project. Acquired knowledge can be deepened, extended and especially applied to practical projects within the framework of Project II - Industrial engineering project.
- Study materials:
Main study materials:
1. LAW, Averill M. Simulation modeling and analysis. Fifth edition. New York: McGraw-Hill Education, 2015. xviii, 776 stran, 4 nečíslované strany obrazových příloh. McGraw-Hill international editions. ISBN 978-1-259-25438-3.
2. BANKS, Jerry et al. Discrete-event system simulation. 5th ed. Upper Saddle River, N.J.: Pearson Education, ©2010. 640 s. International edition. ISBN 978-0-13-815037-2.
3. BANGSOW, Steffen, ed. Use cases of discrete event simulation: appliance and research. Berlin: Springer, ©2012. xiv, 373 p. ISBN 978-3-642-28776-3.
4. Tutorials and manuals for used software (included in installation
- Time-table for winter semester 2022/2023:
- Time-table is not available yet
- Time-table for summer semester 2022/2023:
Mon Tue WedroomKN:B-129
Poč. učebna 12138roomKN:B-129
Poč. učebna 12138
- The course is a part of the following study plans: