IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v207y2010i2p784-794.html
   My bibliography  Save this article

Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers

Author

Listed:
  • Tako, Antuela A.
  • Robinson, Stewart

Abstract

An empirical study comparing the model development process followed by experts in discrete-event simulation (DES) and system dynamics (SD) modelling is undertaken. verbal protocol analysis (VPA) is used to study the modelling process followed by ten expert modellers (5 SD and 5 DES). Participants are asked to build simulation models based on a case study and to think aloud while modelling. The generated verbal protocols are divided into seven modelling topics: problem structuring, conceptual modelling, data inputs, model coding, verification & validation, results & experimentation and implementation and then analyzed. Our results suggest that all modellers switch between modelling topics, however DES modellers follow a more linear progression. DES modellers focus significantly more on model coding and verification & validation, whereas SD modellers on conceptual modelling. Observations are made revealing some interesting differences in the way the two groups of modellers tackle the case. This paper contributes towards the comparison of DES and SD.

Suggested Citation

  • Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.
  • Handle: RePEc:eee:ejores:v:207:y:2010:i:2:p:784-794
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(10)00366-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oral, Muhittin & Kettani, Ossama, 1993. "The facets of the modeling and validation process in operations research," European Journal of Operational Research, Elsevier, vol. 66(2), pages 216-234, April.
    2. Thomas R. Willemain, 1995. "Model Formulation: What Experts Think About and When," Operations Research, INFORMS, vol. 43(6), pages 916-932, December.
    3. Cox, Gary B. & Harrison, Philip & Dightman, Cameron R., 1978. "Computer simulation of adult sentencing proposals," Evaluation and Program Planning, Elsevier, vol. 1(4), pages 297-308, January.
    4. Korporaal, R. & Ridder, A.A.N. & Kloprogge, P. & Dekker, R., 1999. "Capacity planning of prisons in the Netherlands," Econometric Institute Research Papers EI 9909-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. S Robinson, 2001. "Soft with a hard centre: discrete-event simulation in facilitation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 905-915, August.
    6. R Korporaal & A Ridder & P Kloprogge & R Dekker, 2000. "An analytic model for capacity planning of prisons in the Netherlands," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1228-1237, November.
    7. Bard, Jonathan F., 1978. "The use of simulation in criminal justice policy evaluation," Journal of Criminal Justice, Elsevier, vol. 6(2), pages 99-116.
    8. S Robinson, 2005. "Discrete-event simulation: from the pioneers to the present, what next?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 619-629, June.
    9. Kwak, N. K. & Kuzdrall, P. J. & Schniederjans, M. J., 1984. "Felony case scheduling policies and continuances: A simulation study," Socio-Economic Planning Sciences, Elsevier, vol. 18(1), pages 37-43.
    10. Thomas R. Willemain, 1994. "Insights on Modeling from a Dozen Experts," Operations Research, INFORMS, vol. 42(2), pages 213-222, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Linnéusson, Gary & Ng, Amos H.C. & Aslam, Tehseen, 2020. "A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance," European Journal of Operational Research, Elsevier, vol. 281(2), pages 402-414.
    2. Mohammadi, Mati & Gray, Allan W. & Brewer, Brady E., 2022. "Effect of Adopting Blockchain on the U.S Beef Industry Structure: A cost theory perspective," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322489, Agricultural and Applied Economics Association.
    3. Monks, Thomas & Robinson, Stewart & Kotiadis, Kathy, 2014. "Learning from discrete-event simulation: Exploring the high involvement hypothesis," European Journal of Operational Research, Elsevier, vol. 235(1), pages 195-205.
    4. Benjamin Korder & Julien Maheut & Matthias Konle, 2024. "Simulation Methods and Digital Strategies for Supply Chains Facing Disruptions: Insights from a Systematic Literature Review," Sustainability, MDPI, vol. 16(14), pages 1-31, July.
    5. Thompson, James P. & Howick, Susan & Belton, Valerie, 2016. "Critical Learning Incidents in system dynamics modelling engagements," European Journal of Operational Research, Elsevier, vol. 249(3), pages 945-958.
    6. Franco, L. Alberto & Hämäläinen, Raimo P., 2016. "Behavioural operational research: Returning to the roots of the OR profession," European Journal of Operational Research, Elsevier, vol. 249(3), pages 791-795.
    7. Franco, L. Alberto & Hämäläinen, Raimo P. & Rouwette, Etiënne A.J.A. & Leppänen, Ilkka, 2021. "Taking stock of behavioural OR: A review of behavioural studies with an intervention focus," European Journal of Operational Research, Elsevier, vol. 293(2), pages 401-418.
    8. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.
    9. Chad W. Seagren & David Skarbek, 2021. "The evolution of norms within a society of captives," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 529-556, July.
    10. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    11. Robinson, Stewart & Worthington, Claire & Burgess, Nicola & Radnor, Zoe J., 2014. "Facilitated modelling with discrete-event simulation: Reality or myth?," European Journal of Operational Research, Elsevier, vol. 234(1), pages 231-240.
    12. Besiou, Maria & Georgiadis, Patroklos & Van Wassenhove, Luk N., 2012. "Official recycling and scavengers: Symbiotic or conflicting?," European Journal of Operational Research, Elsevier, vol. 218(2), pages 563-576.
    13. Gough, Rebecca & Dickerson, Charles & Rowley, Paul & Walsh, Chris, 2017. "Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage," Applied Energy, Elsevier, vol. 192(C), pages 12-23.
    14. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    15. Ryszard W. Wolny, 2017. "Hyperreality and Simulacrum: Jean Baudrillard and European Postmodernism," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, ejis_v3_i.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. A A Tako & S Robinson, 2009. "Comparing discrete-event simulation and system dynamics: users' perceptions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 296-312, March.
    2. S Robinson, 2008. "Conceptual modelling for simulation Part I: definition and requirements," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 278-290, March.
    3. M den Hengst & G-J de Vreede & R Maghnouji, 2007. "Using soft OR principles for collaborative simulation: a case study in the Dutch airline industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(5), pages 669-682, May.
    4. T R Willemain & S G Powell, 2007. "How novices formulate models. Part II: a quantitative description of behaviour," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1271-1283, October.
    5. Frederic H. Murphy, 2005. "ASP, The Art and Science of Practice: Elements of a Theory of the Practice of Operations Research: Expertise in Practice," Interfaces, INFORMS, vol. 35(4), pages 313-322, August.
    6. Gogi, Anastasia & Tako, Antuela A. & Robinson, Stewart, 2016. "An experimental investigation into the role of simulation models in generating insights," European Journal of Operational Research, Elsevier, vol. 249(3), pages 931-944.
    7. P Keys, 2006. "On becoming expert in the use of problem structuring methods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(7), pages 822-829, July.
    8. Michael Pidd, 1999. "Just Modeling Through: A Rough Guide to Modeling," Interfaces, INFORMS, vol. 29(2), pages 118-132, April.
    9. Morgan, Jennifer Sian & Howick, Susan & Belton, Valerie, 2017. "A toolkit of designs for mixing Discrete Event Simulation and System Dynamics," European Journal of Operational Research, Elsevier, vol. 257(3), pages 907-918.
    10. Franco, L. Alberto & Hämäläinen, Raimo P., 2016. "Behavioural operational research: Returning to the roots of the OR profession," European Journal of Operational Research, Elsevier, vol. 249(3), pages 791-795.
    11. Robinson, Stewart & Worthington, Claire & Burgess, Nicola & Radnor, Zoe J., 2014. "Facilitated modelling with discrete-event simulation: Reality or myth?," European Journal of Operational Research, Elsevier, vol. 234(1), pages 231-240.
    12. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    13. Palmer, Geraint I. & Harper, Paul R. & Knight, Vincent A., 2018. "Modelling deadlock in open restricted queueing networks," European Journal of Operational Research, Elsevier, vol. 266(2), pages 609-621.
    14. S G Powell & T R Willemain, 2007. "How novices formulate models. Part I: qualitative insights and implications for teaching," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 983-995, August.
    15. L B Waisel & W A Wallace & T R Willemain, 2008. "Visualization and model formulation: an analysis of the sketches of expert modellers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 353-361, March.
    16. Andrada Tomoaia‐Cotisel & Samuel D. Allen & Hyunjung Kim & David Andersen & Zaid Chalabi, 2022. "Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late‐stage conceptualization," System Dynamics Review, System Dynamics Society, vol. 38(1), pages 41-80, January.
    17. Smith, Chris M. & Shaw, Duncan, 2019. "The characteristics of problem structuring methods: A literature review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 403-416.
    18. Lami, Isabella M. & Tavella, Elena, 2019. "On the usefulness of soft OR models in decision making: A comparison of Problem Structuring Methods supported and self-organized workshops," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1020-1036.
    19. Jack R. Meredith, 2001. "Reconsidering the Philosophical Basis of OR/MS," Operations Research, INFORMS, vol. 49(3), pages 325-333, June.
    20. Deepa Mishra & Sameer Kumar & Elkafi Hassini, 2019. "Current trends in disaster management simulation modelling research," Annals of Operations Research, Springer, vol. 283(1), pages 1387-1411, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:207:y:2010:i:2:p:784-794. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.