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A dynamic supply chain resilience model for medical equipment’s industry

Ahmad Jafarnejad (Faculty of Management, University of Tehran, Tehran, Iran)
Mansoor Momeni (Faculty of Management, University of Tehran, Tehran, Iran)
Seyed Hossein Razavi Hajiagha (Department of Management, Faculty of Management and Finance, Khatam University, Tehran, Iran)
Maryam Faridi Khorshidi (Faculty of Management, University of Tehran Alborz Campus, Tehran, Iran)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 18 September 2019

Issue publication date: 18 September 2019




Medical equipment’s supply chains play a vital role in performance of national 1healthcare systems. This supply chain is confronted with different internal and external risks. The purpose of this study is to investigate and find the key factors affecting the resilience of the supply chain of medical equipment and to examine the dynamic relations among these factors.


A hybrid methodology is used for meeting the purpose of this study. First, the Delphi method is extended by using hesitant fuzzy linguistic term sets to identify the key factors of supply chain resilience. At the second phase, using the system dynamic methodology, the dynamic relations among identified resilience factors are analyzed.


Using the Delphi method, agility, collaboration among actors, sharing of information, trust among actors, explicitness of supply chain, risk management culture, adaptability, structure, funding and environment conditions are identified as ten major factors affecting medical equipment’s supply chain resilience. Also, four scenarios are simulated along with their impacts on the system.


The main contribution of this study is extending a hesitant fuzzy linguistic term sets-based Delphi and applying it along a system dynamic analysis to identify the key factors affecting resilience of medical equipment’s supply chain for the first time.



Jafarnejad, A., Momeni, M., Razavi Hajiagha, S.H. and Faridi Khorshidi, M. (2019), "A dynamic supply chain resilience model for medical equipment’s industry", Journal of Modelling in Management, Vol. 14 No. 3, pp. 816-840.



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