Abstract
Risks caused by natural disasters, terrorist acts, economic fluctuations, and epidemic diseases, etc., result in disruptions. These anticipated or unexpected disruptions affect supply chain resilience degree adversely. A large body of literature exists on supply chain risks, and also the number of studies has increased with the effect of the COVID-19 pandemic. Literature review reveals that disruption factors have different effects on the supply chains, and considering these effects, proper actions should be performed. In this regard, initially, disruption factors existing in the literature are investigated and summarized. Afterward, a methodology based on Neutrosophic Fuzzy Decision Making Trial and Evaluation Laboratory (NF-DEMATEL) is utilized to assess the importance degrees of different disruption factors. The main aim of the proposed methodology is to help managers to take proper actions for disruption factors and state a risk management policy for future unexpected events.
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References
Rezaei, M., Afsahi, M., Shafiee, M., Patriksson, M.: A bi-objective optimization framework for designing an efficient fuel supply chain network in post-earthquakes. Comput. Ind. Eng. 147, 106654 (2020)
Bueno-Solano, A., Cedillo-Campos, M.G.: Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts. Transp. Res. Part E: Logist. Transp. Rev. 61, 1–12 (2014)
Golan, M.S., Jernegan, L.H., Linkov, I.: Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environ. Syst. Dec. 40(2), 222–243 (2020). https://doi.org/10.1007/s10669-020-09777-w
Queiroz, M.M., Ivanov, D., Dolgui, A., Wamba, S.F.: Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Ann. Oper. Res. 1–38 (2020)
Ivanov, D., Dolgui, A.: OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: managerial insights and research implications. Int. J. Prod. Econ. 232, 107921 (2021)
Ohmori, S., Yoshimoto, K.: A framework of managing supply chain disruption risks using network reliability. Ind. Eng. Manage. Syst. 12(2), 103–111 (2013)
Kohneh, J. N., Teymoury, E., Pishvaee, M.S.: Blood products supply chain design considering disaster circumstances (Case study: earthquake disaster in Tehran). J. Ind. Syst. Eng. 9(special issue on supply chain), 51–72 (2016)
Bottani, E., Murino, T., Schiavo, M., Akkerman, R.: Resilient food supply chain design: modelling framework and metaheuristic solution approach. Comput. Ind. Eng. 135, 177–198 (2019)
Biswas, T.K., Das, M.C.: Selection of the barriers of supply chain management in Indian manufacturing sectors due to COVID-19 impacts. Oper. Res. Eng. Sci. Theory Appl. 3(3), 1–12 (2020)
Ivanov, D., Das, A.: Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note. Int. J. Integr. Supply Manage. 13(1), 90–102 (2020)
Shahed, K.S., Azeem, A., Ali, S.M., Moktadir, M.A.: A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk. Environ. Sci. Pollut. Res. 1–16 (2021)
Yasmin, M., Tatoglu, E., Kilic, H.S., Zaim, S., Delen, D.: Big data analytics capabilities and firm performance: an integrated MCDM approach. J. Bus. Res. 114, 1–15 (2020)
Kilic, H.S., Demirci, A.E., Delen, D.: An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection. Decis. Supp. Syst. 137, 113360 (2020)
Smarandache, F.: A unifying field in logics: neutrosophic logic. In: Philosophy, pp. 1–141. American Research Press (1999)
Kilic, H.S., Yurdaer, P., Aglan, C.: A leanness assessment methodology based on neutrosophic DEMATEL. J. Manuf. Syst. 59, 320–344 (2021)
Awang, A., Aizam, N.A.H., Abdullah, L.: An integrated decision-making method based on neutrosophic numbers for investigating factors of coastal erosion. Symmetry 11(3), 328 (2019)
Kilic, H.S., Yalcin, A.S.: Comparison of municipalities considering environmental sustainability via neutrosophic DEMATEL based TOPSIS. Socio-Econ. Plan. Sci. 100827 (2020)
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Cayvaz, F., Tuzkaya, G., Kalender, Z.T., Kilic, H.S. (2022). Analysis of Supply Chain Disruption Factors Under the Effect of COVID-19 Pandemic via Neutrosophic Fuzzy DEMATEL. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-85577-2_41
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DOI: https://doi.org/10.1007/978-3-030-85577-2_41
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