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 249 articles )

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  1. Ghaffarzadegan, Navid; Xue, Yi; Larson, Richard C.: Work-education mismatch: an endogenous theory of professionalization (2017)
  2. Goodarzi, Marziye; Makvandi, Payam; Saen, Reza Farzipoor; Sagheb, Mohammad Daniel: What are causes of cash flow bullwhip effect in centralized and decentralized supply chains? (2017)
  3. Hoekstra, Auke; Steinbuch, Maarten; Verbong, Geert: Creating agent-based energy transition management models that can uncover profitable pathways to climate change mitigation (2017)
  4. Hu, Bo; Leopold-Wildburger, Ulrike; Strohhecker, Jürgen: Strategy map concepts in a balanced scorecard cockpit improve performance (2017)
  5. Morgan, Jennifer Sian; Howick, Susan; Belton, Valerie: A toolkit of designs for mixing discrete event simulation and system dynamics (2017)
  6. Musial, Katarzyna (ed.); Bródka, Piotr (ed.); De Meo, Pasquale (ed.): Editorial: Analysis and applications of complex social networks (2017)
  7. Ponte, Borja; Sierra, Enrique; de la Fuente, David; Lozano, Jesús: Exploring the interaction of inventory policies across the supply chain: an agent-based approach (2017)
  8. Sagawa, Juliana Keiko; Nagano, Marcelo Seido; Speranza Neto, Mauro: A closed-loop model of a multi-station and multi-product manufacturing system using bond graphs and hybrid controllers (2017)
  9. Spiegler, Virginia L. M.; Naim, Mohamed M.: Investigating sustained oscillations in nonlinear production and inventory control models (2017)
  10. Yan, Lizhao; Xu, Fei; Lai, Yongzeng; Lai, Mingyong: Stability strategies of manufacturing-inventory systems with unknown time-varying demand (2017)
  11. 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)
  12. Lane, David C.; Munro, Eileen; Husemann, Elke: Blending systems thinking approaches for organisational analysis: reviewing child protection in England (2016) ioport
  13. Scott, Rodney J.; Cavana, Robert Y.; Cameron, Donald: Recent evidence on the effectiveness of group model building (2016)
  14. Silva, Manuel: Individuals, populations and fluid approximations: a Petri net based perspective (2016)
  15. 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)
  16. Wang, Xun; Disney, Stephen M.: The bullwhip effect: progress, trends and directions (2016)
  17. Wen, Zhang; Ya-Ming, Zhang; Jinbo, Chen; Kaijun, Leng: Research on a scheduling mechanism in a complex system based on TOC (2016)
  18. Yuan, Xi Gang; Zhu, Nan: Bullwhip effect analysis in two-level supply chain distribution network using different demand forecasting technology (2016)
  19. 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)
  20. Cannella, Salvatore; López-Campos, Mónica; Dominguez, Roberto; Ashayeri, Jalal; Miranda, Pablo A.: A simulation model of a coordinated decentralized supply chain (2015)

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