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System dynamics as a useful technique for complex systems

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  • Ahmad Taher Azar

Abstract

System dynamics (SD) is a powerful methodology and computer simulation modelling technique for framing, understanding and discussing complex issues and problems. It is widely used to analyse a range of systems in, e.g. business, ecology, medical and social systems as well as engineering. The methodology focuses on the way one quantity can affect others through the flow of physical entities and information. Often such flows come back to the original quantity causing a feedback loop. The behaviour of the system is governed by these feedback loops. There are two important advantages of taking systems dynamics approach. The interrelationship of the different elements of the systems can be easily seen in terms of cause and effects. Thus the true cause of the behaviour can be identified. The other advantage is that it possible to investigate which parameters or structures need to be changed in order to improve behaviour. This paper deals with the design of a framework for SD models and gives an overview of the current SD simulation packages.

Suggested Citation

  • Ahmad Taher Azar, 2012. "System dynamics as a useful technique for complex systems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 10(4), pages 377-410.
    • Handle: RePEc:ids:ijisen:v:10:y:2012:i:4:p:377-410
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    Cited by:

    1. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    2. Jomoor, Erfan Rezapour & Rostami, Farahnaz & Geravandi, Shahpar, 2023. "How have the land reform, misunderstanding, and dysfunction of modernity led to rural underdevelopment in Iran?," Land Use Policy, Elsevier, vol. 131(C).
    3. Vinaytosh Mishra & Mohita G. Sharma, 2020. "Understanding Humanitarian Supply Chain Through Causal Modelling," South Asian Journal of Business and Management Cases, , vol. 9(3), pages 317-329, December.
    4. Yong S. Nyam & Julius H. Kotir & Andries J. Jordaan & Abiodun A. Ogundeji & Adetoso A. Adetoro & Israel R. Orimoloye, 2020. "Towards Understanding and Sustaining Natural Resource Systems through the Systems Perspective: A Systematic Evaluation," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    5. Sobratee-Fajurally, N. & Mabhaudhi, Tafadzwanashe, 2022. "Inclusive sustainable landscape management in West and Central Africa: enabling co-designing contexts for systemic sensibility," IWMI Books, Reports H051652, International Water Management Institute.
    6. Lin MA & Jiayu HU, 2018. "An Analysis of the Eco-Innovation Mechanism and Policies in the Pulp and Paper Industry Based on Coupled Game Theory and System Dynamics," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    7. Donghyun Choi & Yonghwi Noh & Jin Sung Rha, 2019. "Work pressure and burnout effects on emergency room operations: a system dynamics simulation approach," Service Business, Springer;Pan-Pacific Business Association, vol. 13(3), pages 433-456, September.
    8. Carlos M. Chang & Johanes Makahaube & Adeeba A. Raheem & Eric Smith & Syeda Lamiya Mahnaz, 2022. "Using System Dynamics Method to Measure Project Management Performance of Local Government Agencies," Businesses, MDPI, vol. 2(4), pages 1-20, September.
    9. Zengqing Wu & Run Peng & Xu Han & Shuyuan Zheng & Yixin Zhang & Chuan Xiao, 2023. "Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations," Papers 2311.06330, arXiv.org, revised Dec 2023.
    10. Yigit Kazancoglu & Esra Ekinci & Sachin Kumar Mangla & Muruvvet Deniz Sezer & Yasanur Kayikci, 2021. "Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 71-91, January.

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