Literature DB >> 32390689

SD Meets OR: A New Synergy to Address Policy Problems.

Navid Ghaffarzadegan1, Richard C Larson2.   

Abstract

We reflect on our past seven years of collaboration to develop systems models of U.S. higher education and scientific workforce development. Based on three recent modeling examples, we offer a methodological proposition that many traditional Operations Research (OR) models can be improved by including feedback processes as is commonly done in system dynamics (SD) modeling. Such models, even if simple and approximate, can be powerful, insightful, easy to communicate, and effective. While these modeling examples may not follow conventional SD or OR modeling, they benefit from and contribute to both schools of modeling. We argue that to build such synergy, modeling teams should be willing to create models building on the strengths of each school of modeling.

Entities:  

Keywords:  feedback loop; operations research; policy modeling; queueing theory; science policy; system dynamics

Year:  2018        PMID: 32390689      PMCID: PMC7207037          DOI: 10.1002/sdr.1598

Source DB:  PubMed          Journal:  Syst Dyn Rev        ISSN: 0883-7066


  2 in total

1.  Enhancing long-term forecasting: Learning from COVID-19 models.

Authors:  Hazhir Rahmandad; Ran Xu; Navid Ghaffarzadegan
Journal:  PLoS Comput Biol       Date:  2022-05-19       Impact factor: 4.779

2.  A cyclical wildfire pattern as the outcome of a coupled human natural system.

Authors:  Farshad Farkhondehmaal; Navid Ghaffarzadegan
Journal:  Sci Rep       Date:  2022-03-28       Impact factor: 4.996

  2 in total

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