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 141 articles )

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  1. Devika, K.; Jafarian, A.; Hassanzadeh, A.; Khodaverdi, R.: Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics (2016)
  2. Lane, David C.; Munro, Eileen; Husemann, Elke: Blending systems thinking approaches for organisational analysis: reviewing child protection in England (2016) ioport
  3. Scott, Rodney J.; Cavana, Robert Y.; Cameron, Donald: Recent evidence on the effectiveness of group model building (2016)
  4. Silva, Manuel: Individuals, populations and fluid approximations: a Petri net based perspective (2016)
  5. Spiegler, Virginia L.M.; Naim, Mohamed M.; Towill, Denis R.; Wikner, Joakim: A technique to develop simplified and linearised models of complex dynamic supply chain systems (2016)
  6. Wang, Xun; Disney, Stephen M.: The bullwhip effect: progress, trends and directions (2016)
  7. Cannella, Salvatore; Framinan, Jose M.; Bruccoleri, Manfredi; Barbosa-Póvoa, Ana Paula; Relvas, Susana: The effect of inventory record inaccuracy in information exchange supply chains (2015)
  8. Fahimnia, Behnam; Tang, Christopher S.; Davarzani, Hoda; Sarkis, Joseph: Quantitative models for managing supply chain risks: a review (2015)
  9. Hosoda, Takamichi; Disney, Stephen M.; Gavirneni, Srinagesh: The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains (2015)
  10. Ma, Yungao; Wang, Nengmin; He, Zhengwen; Lu, Jizhou; Liang, Huigang: Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands (2015)
  11. Mingers, John: Helping business schools engage with real problems: the contribution of critical realism and systems thinking (2015) ioport
  12. Sagawa, Juliana Keiko; Nagano, Marcelo Seido: Modeling the dynamics of a multi-product manufacturing system: a real case application (2015)
  13. Åström, Karl J.; Kumar, P.R.: Control: a perspective (2014)
  14. Ng, Tsan Sheng; Sy, Charlle Lee: A resilience optimization approach for workforce-inventory control dynamics under uncertainty (2014)
  15. Robinson, Stewart; Worthington, Claire; Burgess, Nicola; Radnor, Zoe J.: Facilitated modelling with discrete-event simulation: reality or myth? (2014) ioport
  16. Schaffernicht, Martin F.G.; Groesser, Stefan N.: The SEXTANT software: a tool for automating the comparative analysis of mental models of dynamic systems (2014)
  17. Viana, J.; Brailsford, S.C.; Harindra, V.; Harper, P.R.: Combining discrete-event simulation and system dynamics in a healthcare setting: a composite model for Chlamydia infection (2014) ioport
  18. Lan, Tian-Syung; Lan, Yu-Hua; Chen, Kai-Ling; Chen, Pin-Chang; Lin, Wen-Cheng: A study of developing a system dynamics model for the learning effectiveness evaluation (2013) ioport
  19. Leśniewski, Piotr; Bartoszewicz, Andrzej: LQ optimal sliding mode control of periodic review perishable inventories with transportation losses (2013)
  20. Axsäter, Sven; Viswanathan, S.: On the value of customer information for an independent supplier in a continuous review inventory system (2012)

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