Encyclopedia of Complexity and Systems Science

Living Edition
| Editors: Robert A. Meyers

System Dynamics Modeling: Validation for Quality Assurance

  • Markus Schwaninger
  • Stefan Groesser
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27737-5_540-3

Introduction

The present chapter addresses the question of building better models. This is crucial for coping with complexity in general and in particular for the management of dynamic systems (Schwaninger 2010). Both the epistemological and the methodological-technological aspects of model validation for the achievement of high-quality models are discussed. The focus is on formal models, i.e., those formulated in a stringent, logical, and mostly mathematical language.

The etymological root of “valid” is in the Latin word “validus,” which denotes attributes such as strong, powerful, and firm. A valid model, then, is well founded and difficult to reject because it accurately represents the perceived real system which it is supposed to reflect. This system can be either one that already exists or one that is being constructed, or even anticipated, by a modeler or a group of modelers.

The validation standards in System Dynamics are more rigorous than those of many other methodologies. Let...

Keywords

Model Validation Real System Model Behavior Validation Process System Dynamics Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Bibliography

Primary Literature

  1. Barlas Y (1990) An autocorrelation function test for output validation. Simulation 55(1):7–16CrossRefGoogle Scholar
  2. Barlas Y (1996) Formal aspects of model validity and validation in system dynamics. Syst Dyn Rev, 12(3) (Autumn 1996): 183–210Google Scholar
  3. Barlas Y (2006) Model validity and testing in system dynamics: two specific tools. Paper presented at the 24th international conference of the system dynamics society, NijmegenGoogle Scholar
  4. Barlas Y, Carpenter S (1990) Philosophical roots of model validity – two paradigms. Syst Dyn Rev 6(2):148–166CrossRefGoogle Scholar
  5. Coyle G, Exelby D (2000) The validation of commercial system dynamics models. Syst Dyn Rev 16(1):27–41CrossRefGoogle Scholar
  6. Dangerfield B (2014) Systems thinking and system dynamics: a primer. In: Brailsford S, Churilov L et al (eds) Discrete-event simulation and system dynamics for management decision making. Wiley, Chichester: 26–51CrossRefGoogle Scholar
  7. Feyerabend P (1993) Against method, 3rd edn. Verso, LondonGoogle Scholar
  8. Forrester JW (1961) Industrial dynamics. MIT Press, Cambridge, MAGoogle Scholar
  9. Forrester JW, Senge PM (1980) Test for building confidence in system dynamics models. In: Legasto AA Jr. / Forrester JW. / Lyneis JM. (eds.): System dynamics. North-Holland Publishing Company, Amsterdam: 209–228.Google Scholar
  10. Graham RK (1980) Parameter Estimation in System Dynamics. In Randers of (ed) Elements of the system dynamics method. MIT Press, Cambridge, MA, 143–161Google Scholar
  11. Groesser SN, Schwaninger M (2012) Contributions to model validation: hierarchy, process, and cessation. Syst Dyn Rev 28(2):157–181CrossRefGoogle Scholar
  12. Heracleous L (2006) Discourse, interpretation, organization. Cambridge University Press, Cambridge, MACrossRefGoogle Scholar
  13. James W (1987) Writings 1902 – 1910. Library of America, New YorkGoogle Scholar
  14. Kampmann CE, Oliva R (2009) System dynamics: analytical methods for structural dominance analysis. In: Encyclopaedia of complexity and systems science. Springer, New York/London/Berlin etc.Google Scholar
  15. Kuhn T (1996) The structure of scientific revolutions, 3rd edn. University of Chicago Press, ChicagoCrossRefGoogle Scholar
  16. Lacey AR (1996) A dictionary of philosophy, 3rd edn. Barnes and Noble, New YorkGoogle Scholar
  17. Lane DC (1995) The folding star: a comparative reframing and extension of validity concepts in system dynamics. In: Simada T, Saeed K (eds) Proceedings of 1995 international system dynamics conference, 30 July – 4 Aug, vol I. System Dynamics Society, Lincoln, pp 111–130Google Scholar
  18. Mass NJ (1975) Economic cycles: an analysis of underlying causes. Productivity Press, Cambridge, MAGoogle Scholar
  19. Mattheij RMM, Rienstra SW, JHM t TB (2005) Partial differential equations: modeling, analysis, computation. Society for Industrial & Applied Mathematics (SIAM), EindhovenCrossRefGoogle Scholar
  20. Petersen DW, Eberlein RL (1994) Understanding models with Vensim. In: Morecroft JDW, Sterman JD (eds) Modeling for learning organiziations. Productivity Press, Portland, 339–358Google Scholar
  21. Phillips LD (2007) Decision conferencing. In: Edwards W, Miles RF, von Winterfeldt D (eds) Advances in decision analysis. From foundations to applications. Cambridge University Press, Cambridge, 375–399CrossRefGoogle Scholar
  22. Popper KR (1959) The logic of scientific discovery. Basic Books, New York (latest edition: 2002, Routledge, London)zbMATHGoogle Scholar
  23. Popper KR (1972) Objective knowledge: an evolutionary approach. Clarendon Press, OxfordGoogle Scholar
  24. Rapoport A (1954) Operational philosophy. Integrating knowledge and action. Harper, New YorkGoogle Scholar
  25. Schwaninger M (2010) Model-based management (MBM): a vital prerequisite for organizational viability. Kybernetes 39(9/10):1419–1428CrossRefGoogle Scholar
  26. Schwaninger M, Groesser SN (2008) Model-based theory-building with system dynamics. Syst Res Behav Sci 25:1–19CrossRefGoogle Scholar
  27. Seiffert H, Radnitzky G (1994) Handlexikon der Wissenschaftstheorie, 2nd edn. DTV Wissenschaft, MunichGoogle Scholar
  28. Smith VL (2008) Rationality in economics: constructivist and ecological forms. Cambridge University Press, CambridgeGoogle Scholar
  29. Snabe B, Grössler A (2006) System dynamics modelling for strategy implementation – case study and issues. Syst Res Behav Sci 23(4):467–481CrossRefGoogle Scholar
  30. Sterman JD (1984) Appropriate summary statistics for evaluating the historical fit of system dynamics models. Dynamica 10(2):51–66Google Scholar
  31. Sterman JD (1989) Misperceptions of feedback in dynamic decision making. Organ Behav Hum Decis Process 43(3):301–335CrossRefGoogle Scholar
  32. Sterman JD (2000) Business dynamics. Systems thinking and modeling for a complex world. Irwin/McGraw-Hill, BostonGoogle Scholar
  33. Struben J, Sterman J, Keith D (2015) Parameter Maximum Likelihood and Bootstrapping Methods. In: Rahmandad H, Oliva R, Osgood ND (eds) Analytical methods for dynamic modelers. MIT Press, Cambridge, MA, 3–38Google Scholar
  34. Taleb NN (2007) The black swan. The impact of the highly improbable. Random House, New YorkGoogle Scholar
  35. Vennix JAM (1996) Group model building: facilitating team learning using system dynamics. Wiley, ChichesterGoogle Scholar
  36. von Foerster H (1984) Observing systems, 2nd edn. Intersystems Publications, SeasideGoogle Scholar
  37. von Glasersfeld E (1991) Abschied von der Objektivität. In: Watzlawick P, Krieg P (eds) Das Auge des Betrachters. Piper, Munich, 17–30Google Scholar

Books and Reviews

  1. Finlay PN (1997) Validity of decision support systems: towards a validation methodology. Syst Res Behav Sci 14(3):169–182CrossRefGoogle Scholar
  2. Forrester JW (1961b) Industrial dynamics. MIT Press, Cambridge, MAGoogle Scholar
  3. Law AM (2007) Simulation modeling and analysis, 4th edn. McGraw-Hill, New York, NYGoogle Scholar
  4. Legasto AA, Forrester JW, Lyneis JM (eds) (1980) System dynamics. North-Holland, AmsterdamGoogle Scholar
  5. Morecroft J (2007) Strategic modelling and business dynamics: a feedback systems approach. Wiley, ChichesterGoogle Scholar
  6. Sargent RG (2004) Validation and verification of simulation models. In: Ingalls RG, Rossetti MD, Smith JS, Peters BA (eds) Proceedings of the 2004 winter simulation conference. ACM-Association for Computing Machinery, Washington DC, pp 17–28Google Scholar
  7. Schwaninger M (2011) System dynamics in the evolution of the systems approach. In: Meyers RA (ed) Complex systems in finance and econometrics, vol 2. Springer, New York, pp 753–766Google Scholar
  8. Sterman JD (2000) Business dynamics. Systems thinking and modeling for a complex world. Irwing/Mc Graw-Hill, BostonGoogle Scholar
  9. Warren K (2008) Strategic management dynamics. Wiley, ChichesterGoogle Scholar

Copyright information

© Springer Science+Business Media LLC 2016

Authors and Affiliations

  1. 1.Institute of ManagementUniversity of St. GallenSt. GallenSwitzerland