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Vensim

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Vensim
Developer(s)Ventana Systems, Inc.
Initial release1990 (34 years ago) (1990)
Stable releaseVersion 9.3.2 / July 2022 (2 years ago) (2022-07)
Written inC
Operating systemWindows and OS X applications, Linux and iOS libraries
TypeSimulation software
LicenseProprietary
Websitevensim.com

Vensim is a simulation software developed by Ventana Systems. It primarily supports continuous simulation (system dynamics), with some discrete event and agent-based modelling capabilities. It is available commercially and as a free "Personal Learning Edition".

Modeling environment

Vensim provides a graphical modeling interface with stock and flow and causal loop diagrams, on top of a text-based system of equations in a declarative programming language. It includes a patented method for interactive tracing of behavior through causal links in model structure (the patent expired in 2012), as well as a language extension for automating quality control experiments on models called Reality Check.

The modeling language supports arrays (subscripts) and permits mapping among dimensions and aggregation. Built-in allocation functions satisfy constraints that are sometimes not met by conventional approaches like logit. It supports discrete delays, queues and a variety of stochastic processes.

There are multiple paths for cross sectional and time-series data import and export, including text files, spreadsheets and ODBC. Models may be calibrated against data using optimization, Kalman Filtering or Markov chain Monte Carlo methods. Sensitivity analysis options provide a variety of ways to test and sample models, including Monte Carlo simulation with Latin Hypercube sampling.

Vensim model files can be packaged and published in a customizable read-only format that can be executed by a freely available Model Reader. This allows sharing of interactive models with users who do not own the program and/or who the model author does not wish to have access to the model's code base.

Applications

Vensim is general-purpose software, used in a wide variety of problem domains. Common or high-profile applications include:

  • Transportation and Energy
  • Business Strategy
  • Health
  • Security and Terrorism
  • Project Management
  • Marketing Science in Pharmaceuticals and Consumer Products
  • Logistics
  • Environment

See also

References

  1. "Vensim Causal Tracing™". Vensim - Ventana Systems.
  2. "Simulation system employing causal tracing. US Patent Application EP19910909851, Feb. 26 1991".
  3. "Applying successive data group operations to an active data group. Patent # 5,428,740". Justitia.com.
  4. Peterson, David W.; Eberlein, Robert L. (1994). "Reality check: A bridge between systems thinking and system dynamics". System Dynamics Review. 10 (2–3): 159–174. doi:10.1002/sdr.4260100205.
  5. Vensim Allocation by Priority
  6. Peterson, David Walter (1975). Hypothesis, estimation, and validation of dynamic social models: energy demand modeling (Ph.D.). Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. hdl:1721.1/27424.
  7. "Vensim Model Reader". Vensim - Ventana Systems.
  8. Goldner, Daniel; Borener, Sherry (2006). Evaluating NGATS Research Priorities at JPDO. 6th AIAA Aviation Technology, Integration and Operations Conference (ATIO). Wichita, Kansas, US. doi:10.2514/6.2006-7726.
  9. Struben, Jeroen; Sterman, John D. (2008). "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems". Environment and Planning B: Planning and Design. 35 (6): 1070–1097. Bibcode:2008EnPlB..35.1070S. doi:10.1068/b33022t. hdl:1721.1/102784. S2CID 8801851.
  10. Sterman, John; Henderson, Rebecca; Beinhocker, Eric; Newman, Lee (2007). "Getting Big Too Fast: Strategic Dynamics with Increasing Returns and Bounded Rationality". Management Science. 53 (4): 683–696. doi:10.1287/mnsc.1060.0673.
  11. Deborah A. Marshall; et al. (2015). "Selecting a Dynamic Simulation Modeling Method for Health Care Delivery Research—Part 2: Report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force". Value in Health. 18 (2): 147–160. doi:10.1016/j.jval.2015.01.006. PMID 25773550.
  12. Pruyt, E.; Kwakkel, J. H. (2014). "Radicalization under deep uncertainty: a multi-model exploration of activism, extremism, and terrorism". System Dynamics Review. 30 (1–2): 1–28. doi:10.1002/sdr.1510.
  13. Rahmandad, H.; Hu, K. (2010). "Modeling the rework cycle: capturing multiple defects per task". System Dynamics Review. 26 (4): 291–315. doi:10.1002/sdr.435.
  14. "Ventana Systems, Inc. Marketing Models". Ventana Systems.
  15. Anderson, Edward G. Jr.; Fine, Charles H.; Parker, Geoffrey G. (2000). "Upstream Volatility in the Supply Chain: The Machine Tool Industry as a Case Study". Production and Operations Management. 9 (3): 239–261. CiteSeerX 10.1.1.38.7001. doi:10.1111/j.1937-5956.2000.tb00136.x. hdl:1721.1/1644.
  16. "The C-ROADS model". Climate Interactive. 2014-01-02.
  17. Sterman, John D.; Fiddaman, Thomas; Franck, Travis; Jones, Andrew; McCauley, Stephanie; Rice, Philip; Sawin, Elizabeth; Siegel, Lori (2013). "Management flight simulators to support climate negotiations". Environmental Modelling & Software. 44: 122–135. Bibcode:2013EnvMS..44..122S. doi:10.1016/j.envsoft.2012.06.004.
  18. Weller, Florian; Sherley, Richard B.; Waller, Lauren J.; Ludynia, Katrin; Geldenhuys, Deon; Shannon, Lynne J.; Jarre, Astrid (2016). "System dynamics modelling of the Endangered African penguin populations on Dyer and Robben islands, South Africa". Ecological Modelling. 327: 44–56. Bibcode:2016EcMod.327...44W. doi:10.1016/j.ecolmodel.2016.01.011.

External links

  1. Martinez-Moyano, I. J. (2012). "Documentation for model transparency". System Dynamics Review. 28 (2): 199–208. doi:10.1002/sdr.1471.
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