040259 KU Advanced Quantitative Assessment of Public and Non-Profit Strategies I (MA) (2025W)
Continuous assessment of course work
Labels
Infos: http://www.univie.ac.at/itm/lehre/index.html
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !
Bitte beachten Sie vor allem die Hinweise des Lehrenden ! Danke !
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).
- Registration is open from Mo 08.09.2025 09:00 to We 17.09.2025 12:00
- Registration is open from We 24.09.2025 09:00 to Th 25.09.2025 12:00
- Deregistration possible until Tu 14.10.2025 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes
1) Friday, October 3rd, 2025, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
2) Friday, October 17th, 2025, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
3) Friday, November 28th, 2025, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
4) Friday, December 5th, 2025, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
5) Friday, January 9th, 2026, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
6) Friday, January 16th, 2026, 8.30 am to 12.30 pm; Oskar-Morgenstern-Platz 1, Lecture Room 15, 2nd floor
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 pick and present 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 management, 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
Presentation Slides:
• Consideration of the guidelines for literature research, slide sets, written papers and AI tools
(see: https:\\pnpm.univie.ac.at).
• Submission of the workshop/homework (part presentation - one-sided printout with max. two slides per page in a transparent envelope to be handed in before the presentation in the lecture hall & Moodle sub-mission of the .pdf-files and .ppt-files in the morning before the presentation).
• The quality of the presentation is part of the final grade.
• Please note: all written papers are subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the students themselves - only refinement (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.
• Permitted AI tools for language refinement: DeepL, Grammarly, and ScribbrOral & written homework assignments:
• Each homework 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.
• Consideration of the guidelines for literature research, slide sets, written papers and AI tools
(see: https:\\pnpm.univie.ac.at).
• Submission of the workshop/homework (part presentation - one-sided printout with max. two slides per page in a transparent envelope to be handed in before the presentation in the lecture hall & Moodle sub-mission of the .pdf-files and .ppt-files in the morning before the presentation).
• The quality of the presentation is part of the final grade.
• Please note: all written papers are subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the students themselves - only refinement (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.
• Permitted AI tools for language refinement: DeepL, Grammarly, and ScribbrOral & written homework assignments:
• Each homework 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.
Minimum requirements and assessment criteria
Requirements for a positive grade (min. 50%):
• Attendance and participation in class (25%), workshops (30%), and disaster game (10%)
• Comprehensive presentation slides (25%) and oral presentation (10%) of a course paper based on given assignments. The 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/• The use of AI tools (e.g., ChatGPT) for the production of texts is only permitted if expressly requested by the course instructor (e.g., for individual assignments).
• Two absences from block units are possible, beyond that the course cannot be passed!
• Please note: all written assignments are subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the students themselves - only refinement (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Grading:
• Attendance and Participation: max. 25%
• Workshops: max. 30%
• Disaster Game: max. 10%
• Presentation of Course Paper: max. 10%
• Comprehensive Presentation Slides: max. 25%"1": 90%-100%
"2": 80%-89.75%
"3": 66%-79.75%
"4": 50%-65.75%
"5": <49.75% or missing in more than two block class session or plagiarism of homework paper
• Attendance and participation in class (25%), workshops (30%), and disaster game (10%)
• Comprehensive presentation slides (25%) and oral presentation (10%) of a course paper based on given assignments. The 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/• The use of AI tools (e.g., ChatGPT) for the production of texts is only permitted if expressly requested by the course instructor (e.g., for individual assignments).
• Two absences from block units are possible, beyond that the course cannot be passed!
• Please note: all written assignments are subject to a plagiarism check (software etc.). Research should be carried out independently and texts should be written by the students themselves - only refinement (correction of spelling/grammar errors) using artificial intelligence is permitted. Otherwise a negative assessment will be given.Grading:
• Attendance and Participation: max. 25%
• Workshops: max. 30%
• Disaster Game: max. 10%
• Presentation of Course Paper: max. 10%
• Comprehensive Presentation Slides: max. 25%"1": 90%-100%
"2": 80%-89.75%
"3": 66%-79.75%
"4": 50%-65.75%
"5": <49.75% or missing in more than two block class session or plagiarism of homework paper
Examination topics
See literatureFor this course, current case studies from the international literature will be used.For example, the following homework topics were used in SS 2022:Group 1: Education
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
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
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
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
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
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 presentations! (30 minutes, 10 minutes discussion)
• Plagiarism check of the presentation slides!
• https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
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
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
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
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
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
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 presentations! (30 minutes, 10 minutes discussion)
• Plagiarism check of the presentation slides!
• https://pnpm.univie.ac.at/minormajorwahlfach-pnpm/
Reading list
All relevant materials will be made available on the e-learning platform Moodle.Main literature:
• 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, 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
• 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, 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
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Last modified: Tu 12.08.2025 11:45