APA (7th ed.) Citation

Sarker, M. R., Rahman, M. S., Ali, S. M., Hossain, N. U. I., & Gonzalez, E. D. R. S. (2025). Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: Leveraging the advantages of approximate fuzzy DEMATEL. Journal of Intelligent Manufacturing, 36(5), 2939. https://doi.org/10.1007/s10845-023-02181-6

Chicago Style (17th ed.) Citation

Sarker, Md. Rayhan, Md. Sazid Rahman, Syed Mithun Ali, Niamat Ullah Ibne Hossain, and Ernesto D. R. Santibanez Gonzalez. "Modeling Supply Chain Resilience Drivers in the Context of COVID-19 in Manufacturing Industries: Leveraging the Advantages of Approximate Fuzzy DEMATEL." Journal of Intelligent Manufacturing 36, no. 5 (2025): 2939. https://doi.org/10.1007/s10845-023-02181-6.

MLA (9th ed.) Citation

Sarker, Md. Rayhan, et al. "Modeling Supply Chain Resilience Drivers in the Context of COVID-19 in Manufacturing Industries: Leveraging the Advantages of Approximate Fuzzy DEMATEL." Journal of Intelligent Manufacturing, vol. 36, no. 5, 2025, p. 2939, https://doi.org/10.1007/s10845-023-02181-6.