Universität Wien

040259 KU Advanced Quantitative Assessment of Public and Non-Profit Strategies I (MA) (2023W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Infos: http://www.univie.ac.at/itm/lehre/index.html
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes

Friday 06.10.2023 08:30 - 12:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock 02.303
Friday 20.10.2023 08:30 - 12:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock 02.303
Friday 03.11.2023 08:30 - 12:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock 02.303
Friday 17.11.2023 18:00 - 22:00 online via zoom (disaster game) - session of 8:30 - 12:30 a.m. had to be posponed (comission meeting)
Friday 12.01.2024 08:30 - 12:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock 02.303
Friday 19.01.2024 08:30 - 12:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock 02.303

Information

Aims, contents and method of the course

http://pnpm.univie.ac.at/minormajor-pnpm/

This course gives an overview on using different simulation techniques to enhance planning and improvement of processes and systems behind public and non-profit organizations. Students learn about the principal functionality of simulation methods including their benefits and drawbacks. The course focuses on the techniques of system dynamics and discrete event simulation including several practical workshop examples elaborated by students. We also briefly discuss agent-based simulation. To demonstrate the wide application area of discrete event simulation policy models combined with optimization techniques, we present an example in the emergency medical management field regarding scheduling of mass casualty incidents for ambulance services such as the Austrian Samaritan Organization at the incident site. We use this disaster policy model as a management game for students in a workshop setting. Therefore, students learn essential lessons on emergency disaster management, scheduling emergency patients, and training emergency staff at ambulance services. For investigating further application areas, students present and write a course paper on the improvement of process management by different and even hybrid simulation approaches in selected fields of public and non-profit management in an international context (e.g., education, environment, energy, health care, disaster, recreation).

This course is interlinked with practice by giving the students the opportunity to join meetings of the forum of health economics (gesundheitspolitisches Forum): http://www.gesundheitspolitischesforum.at/ or ÖGOR meetings (e.g., health care, disaster management, energy): https://oegor.wordpress.com/

Assessment and permitted materials

Oral & written homework assignments

• All oral & written homework assignments have to follow the scientific guidelines: (https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/).

• Each presentation should take up to 30 minutes (course paper) and up to 10 minutes (workshops).

• There should be a short discussion with the auditorium after the presentation.

• The use of the beamer is expected (legible slides).

• The quality of the presentations is part of the final grade.

• All files of the course paper (oral and written part) must be electronically turned in a day before the presentation on the moodle platform (1 x doc-file, 1x ppt-file, 2x pdf-files).

• The printed versions of the slides and course paper are part of the final grade and have to be turned in at the University of Vienna, OMP 1, porter, Mailbox Rauner at the day of the presentation the latest. Please ONLY print one slide on ONE page on the front of the paper sheet!

Requirements for a positive grade (min. 50%)

• Attendance in class (20%), participation (30%) in workshops, and disaster game (10%)

• Writing (30%) and presenting a course paper (10%) based on given assignments. The written course paper and the oral presentations have to meet common scientific guidelines (i.e., listing of all references, providing adequate references, supplementing the text with tables and figures, avoiding plagiarism): https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/

• Providing electronic files (docx/ppt AND pdf) via moodle (day before the presentation) as well as printed versions (at the day oft the presentation in the mailbox Rauner at OMP 1) of the assigned course paper regarding the oral presentation part and written version part.

• Achieving a total score of at least 50%.

Minimum requirements and assessment criteria

• Attendance and Participation: max. 20%
(Moodle Quiz: 4x2 Points; Participation: 6x2 Points)
• Workshops: max. 30%
• Disaster Game: max. 10%
• Presentation of Course Paper: max. 10%
• Written Version of Course Paper: max. 30%

"1": 90%-100%
"2": 80%-89,75%
"3": 66%-79,75%
"4": 50%-65,75%
"5": <49,75% and/or missing in more than two block class session or plagiatism of homework paper

Registration and acceptance criteria
Online registration for the assignment to classes takes place at the beginning of the semester. Students with the highest amount of assigned points will be accepted. In case a student is absent during the first preliminary discussion, she/he will lose her/his place in the course so that other students from the waiting list may be accommodated.

Examination topics

See literature

For this course, current case studies from the international literature will be used.

For example, there were the following homework topics in SS 2022:

Group 1: Education (1st session January)
Tsao, M. W., & Wang, Y. C. (2022). System Dynamics Analysis of Flight Simulator
Maintenance and Parts Inventory Management. International Journal of Organizational
Innovation (Online), 14(4), 175-188.

Group 2: Environment (1st session January)
Han, F., Sun, M., Jia, X., Klemeš, J. J., Shi, F., & Yang, D. (2022). Agent-based model for
simulation of the sustainability revolution in eco-industrial parks. Environmental Science and
Pollution Research, 29(16), 23117-23128.

Group 3: Energy (1st session January)
Uddin, M. N., Chi, H. L., Wei, H. H., Lee, M., & Ni, M. (2022). Influence of interior layouts
on occupant energy-saving behaviour in buildings: An integrated approach using Agent-
Based Modelling, System Dynamics and Building Information Modelling. Renewable and
Sustainable Energy Reviews, 161, 112382.

Group 4: Health Care (2nd session January)
Schoenfelder, J., Zarrin, M., Griesbaum, R., & Berlis, A. (2022). Stroke care networks and the
impact on quality of care. Health Care Management Science, 25(1), 24-41.

Group 5: Disaster Management (2nd session January)
Shi, Z., Yang, Z., & Liu, J. (2022). Assessing the Dynamic Resilience of Local Roads: A Case
Study of Flooding in Wuhan, China. Journal of Advanced Transportation, 2022.

Group 6: Recreation (2nd session January)
Shafiee, S., Jahanyan, S., Ghatari, A. R., & Hasanzadeh, A. (2022). Developing sustainable
tourism destinations through smart technologies: A system dynamics approach. Journal of
Simulation, 1-22.

• Oral presentation of all figures & tables
• Oral presentation & slides: see checklist for oral presentation! (30 minutes, 10 minutes discussion)
• Plagiat check of the presentation slides!
•https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/

Reading list

All essential literature is on the moodle platform.

Main literature in the library:
• Borshev, A. (2013) The Big Book of Simulation Modelling, edited by Anylogic NA.
• Grigoryev, I. (2015) AnyLogic 7 in three days. A quick course in simulation modeling, 2.
• Pidd, M. (2004) Computer Simulation in Management Science, John Wiley & Sons Ltd.
• Brailsford, S., Churilov, L., Dangerfield, B. (eds.) (2014) Discrete-Event Simulation and System Dynamics for Management Decision Making, John Wiley & Sons.
• Brennan A., Chick S., Davies R. (2006) A taxonomy of model structures for economic evaluation of health technologies, Health Economics, 15:1295-1310.
• Cooper K., Brailsford S., Davies R. (2007) Choice of modelling technique for evaluating health care technologies, The Journal of Operational Research, 58(2): 168-176.
• Niessner, H., Rauner, M. S., & Gutjahr, W. J. (2018) A dynamic simulation-optimization approach for managing mass casualty incidents, Operations Research for Health Care, 17, 82-100.
• Rauner, M.S., Schaffhauser-Linzatti M.M., Niessner, H. (2012) Resource planning for ambulance services in mass casualty incidents: A DES-based policy model, Health Care Management Science, 15(3): 254-269.

Additional literature:
• Amaran, S., Sahinidis, N. V., Sharda, B., & Bury, S. J. (2016). Simulation optimization: a review of algorithms and applications. Annals of Operations Research, 240(1), 351-380.
• Jahangirian, M., Naseer, A., Stergioulas, L., Young, T., Eldabi, T., Brailsford, S., ... & Harper, P. (2012). Simulation in healthcare: lessons from other sectors. Operational Research, 12(1), 45-55.
• Leopold, A. (2016). Energy related system dynamic models: a literature review. Central European Journal of Operations Research, 24(1), 231-261.
• Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. Journal of Simulation, 10(2), 144-156.
• Mishra, D., Kumar, S., & Hassini, E. (in print). Current trends in disaster management simulation modelling research. Annals of Operations Research, 1-25.
• Zhang, X. (2018). Application of discrete event simulation in health care: a systematic review. BMC Health Services Research (2018) 18(1): 687.

https://www.anylogic.com/resources/educational-videos/introduction-to-anylogic-software/

Agent Based Modeling: Consumer Choice Model https://www.youtube.com/watch?v=4zQy79EEyko

Association in the course directory

Last modified: Fr 10.11.2023 17:27