DYNAMO (DYNAmic MOdels) was a simulation language and accompanying graphical notation developed within the system dynamics analytical framework. It was originally for industrial dynamics but was soon extended to other applications, including population and resource studies[1][2] and urban planning.[3][4] DYNAMO was initially developed under the direction of Jay Wright Forrester in the late 1950s, by Dr. Phyllis Fox,[5][6] Alexander L. Pugh III, Grace Duren,[7] and others[8] at the M.I.T. Computation Center.[9] The earliest versions were written in assembly language for the IBM 704, then for the IBM 709 and IBM 7090. DYNAMO II was written in AED-0, an extended version of Algol 60.[10][11] Dynamo II/F, in 1971, generated portable FORTRAN code[12] and both Dynamo II/F and Dynamo III improved the system’s portability by being written in FORTRAN.[12][13]. DYNAMO was used for the system dynamics simulations of global resource-depletion reported in the Club of Rome’s Limits to Growth.[1] Originally designed for batch processing on mainframe computers, it was made available on minicomputers in the late 1970s,[14] and became available as ”micro-Dynamo” on personal computers in the early 1980s.[15] The language went through several revisions from DYNAMO II up to DYNAMO IV in 1983,[16] but has since fallen into disuse.

References in zbMATH (referenced in 203 articles )

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  1. Tron, Eviatar; Margaliot, Michael: Mathematical modeling of observed natural behavior: a fuzzy logic approach (2004)
  2. Akkermans, Henk A.; Bogerd, Paul; Yücesan, Enver; van Wassenhove, Luk N.: The impact of ERP on supply chain management: Exploratory findings from a European Delphi study (2003)
  3. Dejonckheere, J.; Disney, S. M.; Lambrecht, M. R.; Towill, D. R.: Measuring and avoiding the bullwhip effect: A control theoretic approach (2003)
  4. Giannoccaro, Ilaria; Pontrandolfo, Pierpaolo; Scozzi, Barbara: A fuzzy echelon approach for inventory management in supply chains. (2003)
  5. Oliva, Rogelio: Model calibration as a testing strategy for system dynamics models. (2003)
  6. Williams, Terry; Ackermann, Fran; Eden, Colin: Structuring a delay and disruption claim: An application of cause-mapping and system dynamics. (2003)
  7. Karavezyris, Vassilios; Timpe, Klaus-Peter; Marzi, Ruth: Application of system dynamics and fuzzy logic to forecasting of municipal solid waste (2002)
  8. Polat, Seçkin; Bozdağ, Cafer Erhan: Comparison of fuzzy and crisp systems via system dynamics simulation (2002)
  9. Riddalls, C. E.; Bennett, S.: Production-inventory system controller design and supply chain dynamics (2002)
  10. Robinson, Stewart: General concepts of quality for discrete-event simulation (2002)
  11. Smith, P. C.; van Ackere, A.: A note on the integration of system dynamics and economic models (2002)
  12. Tsuda, Kazuhiko; Terano, Takao; Kuno, Yasushi; Shirai, Hiroaki; Suzuki, Hisatoshi: A compiler for business simulations: Toward business model development by yourselves (2002)
  13. Nadkarni, Sucheta; Shenoy, Prakash P.: A Bayesian network approach to making inferences in causal maps (2001)
  14. Achterkamp, Marjolein; Imhof, Peter: The importance of being systematically surprisable: Comparative social simulation as experimental technique (1999)
  15. Friedman, Y.; Sandler, U.: Fuzzy dynamics as an alternative to statistical mechanics (1999)
  16. Lane, David C.: Social theory and system dynamics practice (1999)
  17. Larsen, Erik R.; Morecroft, John D. W.; Thomsen, Jesper S.: Complex behaviour in a production-distribution model (1999)
  18. Villacampa, Y.; Usó-Domènech, J. L.: Mathematical models of complex structural systems. A linguistic vision (1999)
  19. Brans, J. P.; Macharis, C.; Kunsch, P. L.; Chevalier, A.; Schwaninger, M.: Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure (1998)
  20. Lane, David C.; Oliva, Rogelio: The greater whole: Towards a synthesis of system dynamics and soft systems methodology (1998)

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