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 261 articles )

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  1. Aseev, S. M.: Maximum principle for an optimal control problem with an asymptotic endpoint constraint (2021)
  2. Cunico, Giovanni; Aivazidou, Eirini; Mollona, Edoardo: Building a dynamic theory of citizens’ awareness of European cohesion policy interventions (2021)
  3. Đula, Ivan; Größler, Andreas: Inequity aversion in dynamically complex supply chains (2021)
  4. Dyson, Robert G.; O’Brien, Frances A.; Shah, Devan B.: Soft OR and practice: the contribution of the founders of operations research (2021)
  5. Farraa, Berna Bou; Abbou, Rosa; Loiseau, Jean Jacques: Inventory control of a class of logistic networks (2021)
  6. Kazakov, Rossen; Howick, Susan; Morton, Alec: Managing complex adaptive systems: a resource/agent qualitative modelling perspective (2021)
  7. Novais, Luciano; Maqueira, Juan Manuel; Ortiz, Ángel; Bruque, Sebastián: Strategic simulation models as a new methodological approach: an application to information technologies integration, lean/just-in-time and lead-time (2021)
  8. Reisach, Ulrike: The responsibility of social media in times of societal and political manipulation (2021)
  9. Van Belle, Jente; Guns, Tias; Verbeke, Wouter: Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains (2021)
  10. Baumgartner, Nick R.; Ryan, Shawn D.: Interaction of red crabs with yellow crazy ants during migration on Christmas Island (2020)
  11. Bayraktar, Erkan; Sari, Kazim; Tatoglu, Ekrem; Zaim, Selim; Delen, Dursun: Assessing the supply chain performance: a causal analysis (2020)
  12. Grammaticos, Basil; Willox, Ralph; Satsuma, Junkichi: Revisiting the human and nature dynamics model (2020)
  13. Linnéusson, Gary; Ng, Amos H. C.; Aslam, Tehseen: A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance (2020)
  14. Aseev, Sergey M.; Besov, Konstantin O.; Kaniovski, Serguei Yu.: Optimal policies in the Dasgupta-Heal-Solow-Stiglitz model under nonconstant returns to scale (2019)
  15. Brailsford, Sally C.; Eldabi, Tillal; Kunc, Martin; Mustafee, Navonil; Osorio, Andres F.: Hybrid simulation modelling in operational research: a state-of-the-art review (2019)
  16. Hu, Qingwen: Bullwhip effect in a supply chain model with multiple delivery delays (2019)
  17. Nescolarde-Selva, Josué-Antonio; Usó-Doménech, José-Luis; Lloret-Climent, Miguel: Impure systems and ecological models. II: Components and thermodynamics (2019)
  18. Ponte, Borja; Naim, Mohamed M.; Syntetos, Aris A.: The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems (2019)
  19. Sanz, Maria T.; Díaz Gandasegui, Vicente; Elizalde-San Miguel, Begoña: Sense and sensibility: using a model to examine the relationship between public pre-school places and fertility (2019)
  20. Baez, John C.; Coya, Brandon; Rebro, Franciscus: Props in network theory (2018)

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