Simulation of Discrete Systems with AnyLogic
KIB-SDSA
ki2
2
V
2
P
5
5
no
German
Project work
KI579
Computer Science and Communication Systems
5
optional course
KIB-SDSA
Computer Science and Communication Systems
5
optional course
KIB-SDSA
Computer Science and Communication Systems
5
optional course
PIBWI23
Applied Informatics
5
optional course
PIB-SDSA
Applied Informatics
5
optional course
60 class hours (= 45 clock hours) over a 15-week period.The total student study time is 150 hours (equivalent to 5 ECTS credits).There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
KIB-INF1
Informatics 1
KIB-INF2
Informatics 2
KIB-MAT1
Mathematics 1
KIB-MAT2
Mathematics 2
KIB-PRG1
Programming 1
KIB-PRG2
Programming 2
Prof. Dr. Barbara Grabowski
bg
Prof. Dr. Barbara Grabowski
bg
1. After successfully completing this module, students will be able to model discrete systems and the behavior of such systems by means of an abstract description language. They will be capable of choosing the simulation methodology in an event-oriented, agent-based, meaningful way and of implementing it in the language.
2. Students will be able to model discrete systems and the behavior of such systems using the programming language ANYLOGIC in a suitable simulation methodology..
3. They will be able to draw up test designs for the investigating different simulation scenarios.
4. Students will be able to estimate which performance measures are suitable for the evaluation of the simulation studies (utilization, queue length, dwell times, etc.) and how to determine them.
5. They will be able to apply methods for the _safe_ evaluation and comparison of simulation results from different scenarios
6. Lastly, they will be able to find the best system configuration by studying the system
1.Systems, states and simulation models
a. Definitions - characterization of systems and their conditions
b. Classification of simulation models
c. Simulation methods: event-oriented, process-oriented, agent-based
Discrete and continuous dynamic simulation
d. Mathematical stochastic basics: Statistical measures and stochastic modelling
and evaluation methods in simulation
2. Techniques of discrete event-oriented simulation
a. Basics of event-oriented simulation technology
b. Programming a simple WS system
3.The simulation language AnyLogic und case studies - projects
a. Basics - Introduction in AnyLogic
b. Simulation of a warehouse
c. Simulation of a production process/service area in the bank
d. Projects: Traffic lights/traffic system/chairlift etc.
Students will have the opportunity to practice on the computer. This will take place in the PC lab AMSEL "Angewandte Mathematik, Statistik und eLearning" in Room 5306.
This practical part of the course amounts to 80% of the module.
Furthermore, all case studies must be solved using the computer (AMSEL laboratory R 5306).
The ANYLOGIC software will be available in the lab.
1. Andrei Borshev: _The Big Book of Simulation Modeling: Multimethod Modeling with Anylogic 6,
ISBN: 978-0-9895731-7-7_, Anylogic North America, 2014.
2. Gizem Günes: _Agent Based Simulation an Example in Anylogic_,
download: http://www.academia.edu/8399514/AGENT_BASED_SIMULATION_AND_AN_EXAMPLE_IN_ANYLOGIC .
3.Ilya Grigoryev: Anylogic 7 in Three Days: A Quick Course in Simulation Modeling.
Anylogic North America, 2015.
Mon Jul 22 09:29:32 CEST 2024, CKEY=ksdsma, BKEY=ki2, CID=[?], LANGUAGE=en, DATE=22.07.2024