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Vensim

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Vensim
DevelopersVentana Systems, Inc.
Initial release1990
Stable release
Version 6.4 / June, 2016
Written inC
Operating systemWindows & OS X applications, Linux & iOS libraries
TypeSimulation software
LicenseProprietary
Websitevensim.com

Vensim is dynamic simulation software developed by Ventana Systems, Inc. It supports continuous simulation (System Dynamics) with some discrete event and agent capabilities. It is available commercially as well as in 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 pioneered interactive tracing of behavior through causal links in model structure.[1][2][3] Vensim includes a Reality Check™ language extension for automating quality control experiments on models.[4]

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.[5] 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[6] and 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.

Applications

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

See also

References

  1. ^ Vensim Causal Tracing™
  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
  4. ^ Reality check: A bridge between systems thinking and system dynamics, David W. Peterson and Robert L. Eberlein, System Dynamics Review, Volume 10, Issue 2-3, pages 159–174, Summer - Autumn (Fall) 1994. DOI: 10.1002/sdr.4260100205
  5. ^ Vensim Allocation by Priority
  6. ^ Hypothesis, estimation, and validation of dynamic social models : energy demand modeling Peterson, David Walter, 1975. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
  7. ^ Evaluating NGATS Research Priorities at JPDO, Daniel Goldner and Sherry Borener, 6th AIAA Aviation Technology, Integration and Operations Conference (ATIO), Aviation Technology, Integration, and Operations (ATIO) Conferences
  8. ^ Transition Challenges for Alternative Fuel Vehicle and Transportation Systems, Jeroen Struben and John D. Sterman, Environ Plann B Plann Des December 2008 vol. 35 no. 6 1070-1097 doi: 10.1068/b33022t
  9. ^ Getting Big Too Fast: Strategic Dynamics with Increasing Returns and Bounded Rationality, John Sterman, Rebecca Henderson, Eric Beinhocker & Lee Newman, Management Science 2007 vol. 53 no. 4
  10. ^ 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, Deborah A. Marshall et al., Value in Health March 2015, Volume 18, Issue 2, Pages 147–160
  11. ^ Radicalization under deep uncertainty: a multi-model exploration of activism, extremism, and terrorism, Pruyt E. and Kwakkel J. H., 2014, Syst. Dyn. Rev., 30: 1–28. DOI: 10.1002/sdr.1510
  12. ^ Modeling the rework cycle: capturing multiple defects per taskRahmandad, H. and Hu, K., 2010 . Syst. Dyn. Rev., 26: 291–315. doi:10.1002/sdr.435
  13. ^ Ventana Systems, Inc. Marketing Models
  14. ^ Upstream Volatility in the Supply Chain: The Machine Tool Industry as a Case Study, Edward G. Anderson Jr., Charles H. Fine, Geoffrey G. Parker, Production and Operations Management 9(3):239 - 261 · September 2000
  15. ^ The C-ROADS model, Climate Interactive
  16. ^ Management flight simulators to support climate negotiations, John D. Sterman, Thomas Fiddaman, Travis Franck, Andrew Jones, Stephanie McCauley, Philip Rice, Elizabeth Sawin, Lori Siegel, Environmental Modelling & Software, Volume 44, June 2013, Pages 122–135
  17. ^ Martinez-Moyano, I. J. (2012), Documentation for model transparency. System Dynamics Review, 28: 199–208.


Category:Simulation software Category:Risk management software Category:Scientific simulation software Category:Mathematical software Category:Environmental science software Category:Numerical software Category:Simulation programming languages Category:Probabilistic software Category:Science software for Windows

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