|Title||ΠΡΟΣΟΜΟΙΩΣΗ / SIMULATION|
|Cycle / Level||1st / Undergraduate|
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 31
|Design and Structures||Elective Course belonging to the selected specialization (Elective Specialization Course)||10||5||5|
|Industrial Management||Compulsory Course belonging to the selected specialization (Compulsory Specialization Course)||10||5||5|
|Academic Year||2019 – 2020|
|Faculty Instructors|| |
|Class ID|| |
Type of the Course
- Scientific Area
- Skills Development
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Knowledge of the terminology of discrete event simulation. Ability to analyze a physical system and to develop a simulation model. Simulation model transformation using simulation environments (programming languages, Crystal Ball, Arena). Ability of statistical analysis and explanation of simulation results.
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
Course Content (Syllabus)
Design, analysis and development of simulation, random numbers, random numbers generators and simulation sampling, statostocal analaysis of simulation results, Applications in industrial managementa and operational research. Practice on specialized simulation software.
Discrete event simulation, random numbers
Educational Material Types
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Powerpoint presentations. Practice on software packages Crystal Ball and Arena. Communication with the students through email.
|Interactive Teaching in Information Center||26||0.9||✓||✓|
|Other / Others||5||0.2|
Assignment submission. Exams in computer lab. Final written exams.
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Problem Solving (Summative)
- Report (Formative, Summative)
Course Bibliography (Eudoxus)
Ρουμελιώτης Μάνος, Σουραβλάς Σταύρος, Τεχνικές προσομοίωσης: Θεωρία και Εφαρμογές, εκδόσεις Τζιόλας, 2011, ISBN 978-960-418-372-2.
Additional bibliography for study
Hybrid simulation models of production networks. Kouikoglou, Vassilis S., Kluwer Academic/Plenum Publishers, c2001. Learning SIMUL8: the complete guide. Hauge, Jaret W. PlainVu, 2001. Simulation with Arena. Kelton, W. David. McGraw-Hill Higher Education, c2007. Simulation modeling and analysis. Law, Averill M. McGraw-Hill, c2007. Discrete-event system simulation. Banks, Jerry. Prentice Hall, c2010. Simulation modeling and analysis with arena. Altiok, Tayfur. Academic Press, c2007. Discrete-event simulation : modeling, programming, and analysis. Fishman, George S. Springer, c2001.