Aktuelle Ansätze in der Produktion und Logistik [M.WIWI-BWL.0028]

Topic: Simulation im Supply Chain Managementt
M.Sc. Beatriz Beyer, Prof. Dr. Matthias Klumpp

1. Background and goal

Simulation models and simulation software are increasingly being used in companies and in production, logistics and supply chain management to support decision-making (Mejia et al. 2016; Knol et al. 2019; Goienetxea Uriarte et al. 2017; Boero et al. 2015; Gottwalt et al. 2011; Jahangirian et al. 2010; Biethahn et al. 1999; Robinson 2004; Zhang et al. 2011). The seminar looks at various topics in the field of decision support using simulation models. The aim is the independent, research-oriented and reflected scientific treatment of topics of simulation as decision support in production, logistics and supply chain management by the students on the example of concrete application cases and a management-oriented discussion on options for action in this context.

2. Schedule and target group
The seminar is targeted at Master students of the Faculty of Business and Economics. Two compulsory block seminars are being held as follow:

      Fr, 17.04.2020
    • Schedule: Recording: Introduction & Instruction to simulation
    • Tool: Recording provided in StudIP

    • Mo, 20.04.2020 05:00 pm to 06:30 pm
    • Schedule: Live: Introduction, Question time & Grouping
    • Tool: Online "Big Blue Button" (Invitation by E - Mail)

    • Mo, 06.07.2020 2:00 pm: Deadline seminar papers (only digital)

      Do, 09.07.2020: Deadline presentation

      Mo, 13.07.2020 02:00 pm to 06:00 pm
    • Schedule: Live: final presentation & feedback
    • Tool: Online "Big Blue Button"

3. Registration and topic assignment
Registration via Stud.IP is compulsory and required until the 13.04.2020. The registration is only complete if you attend the introductory sessions on the 20.04.2020. Withdrawal is only possible until Wednesday, 29.04.2020. From there on, all course efforts are graded. Students can chose among the following topics to work on in groups of 2-3 students. (15 pages in the final paper per person). The assignment of topics and groups takes place during the first block seminar. The number of participants in this seminar is limited at 12 students. [1]


    A. Ereignisdiskretes Simulationsmodell eines Anwendungsbeispiels Krankenhauslogistik (mit ARENA)
    B. Agenten-basierte und Ereignisdiskrete Simulationen und ihre Anwendung im Vergleich (mit NetLogo und Arena)
    C. Ereignisdiskretes Simulationsmodell eines Anwendungsbeispiels Flughafenlogistik (mit ARENA)
    D. Agenten-basiertes Simulationsmodell der Verbreitung von Elektrofahrzeugen (mit NetLogo)

      4. Literature

      • Biethahn, Jörg; Hummeltenberg, Wilhelm; Schmidt, Bernd; Stähly, Paul; Witte, Thomas (Hg.) (1999): Simulation als betriebliche Entscheidungshilfe. State of the Art und neuere Entwicklungen. Heidelberg: Physica-Verlag HD.
      • Boero, Riccardo; Morini, Matteo; Sonnessa, Michele; Terna, Pietro (2015): Agent-based models of the economy. From theories to applications: Palgrave Macmillan. Online verfügbar unter http://www.worldcat.org/oclc/903473861
      • Goienetxea Uriarte, Ainhoa; Ruiz Zúñiga, Enrique; Urenda Moris, Matías; Ng, Amos H.C. (2017): How can decision makers be supported in the improvement of an emergency department? A simulation, optimization and data mining approach. In: Operations Research for Health Care 15, S. 102–122. DOI: 10.1016/j.orhc.2017.10.003
      • Gottwalt, Sebastian; Ketter, Wolfgang; Block, Carsten; Collins, John; Weinhardt, Christof (2011): Demand side management—A simulation of household behavior under variable prices. In: Energy Policy 39 (12), S. 8163–8174. DOI: 10.1016/j.enpol.2011.10.016 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]
      • Jahangirian, Mohsen; Eldabi, Tillal; Naseer, Aisha; Stergioulas, Lampros K.; Young, Terry (2010): Simulation in manufacturing and business. A review. In: European Journal of Operational Research 203 (1), S. 1–13. DOI: 10.1016/j.ejor.2009.06.004 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]
      • Knol, Arthur; Sharpanskykh, Alexei; Janssen, Stef (2019): Analyzing airport security checkpoint performance using cognitive agent models. In: Journal of Air Transport Management 75, S. 39-50.
      • Mejia, Jezreel; Muñoz, Mirna; Rocha, Álvaro; Calvo-Manzano, Jose (Hg.) (2016): Trends and Applications in Software Engineering. Proceedings of the 4th International Conference on Software Process Improvement CIMPS'2015. International Conference on Software Process Improvement. 1st ed. 2016. Cham: Springer (Advances in Intelligent Systems and Computing, 405). Online verfügbar unter http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1083975.
      • Robinson, Stewart (2004): Simulation modelling. The practice of model development & use. Chichester: Wiley.
      • Zhang, Ting; Gensler, Sonja; Garcia, Rosanna (2011): A study of the diffusion of alternative fuel vehicles. An agent-based modeling approach. In: Journal of Product Innovation Management 28, S. 152-168.

      [1] If the number of applications exceeds the maximum number of participants, students in the management degree program will be admitted first, followed by a draw.

      Frau Beatriz Beyer (Beatriz.Beyer@wiwi.uni-goettingen.de)

Platz der Göttinger Sieben 3
Oeconomicum, Raum 1.226
37073 Göttingen
Tel.: +49 (0)551 / 39-10910