Main Article Content

Authors

Lu Wang *

Abstract

Retraction Notice: Following a post-publication editorial review, the Editorial Office identified substantial inaccuracies and inconsistencies in the bibliographic information cited in the article. Several references were found to contain incorrect or mismatched publication details, and some cited sources could not be independently verified against authoritative publication records. The extent of these issues affects the reliability and traceability of the scholarly evidence supporting the article and cannot be adequately addressed through a routine correction. The Editorial Office has therefore determined that the published article cannot be considered sufficiently reliable in its current form and has decided to retract the article.

Keywords:
aviation logistics, resilience engineering, bayesian networks, supply chain disruption, COVID-19, risk management, predictive analytics, decision support

Article Details

References

[1]Ademujimi, T., Brundage, M. P., & Kulvatunyou, B. (2022). A Bayesian network approach for resilience-based supply chain discovery. Journal of Manufacturing Systems, 64, 1-12.

[2]Ali, I., Naghshineh, B., & Abbasi, B. (2023). A Bayesian network model for resilience-based supplier selection. Computers & Industrial Engineering, 175, 108852

[3]Behzadi, G., O'Sullivan, M. J., Olsen, T. L., & Zhang, A. (2020). Robust and resilient strategies for managing supply chain disruptions: An integrative review. International Journal of Production Research, 58(21), 6566-6591.

[4]Brusset, X., & Teller, C. (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics, 184, 59–68. https://doi.org/10.1016/j.ijpe.2016.09.008

[5]Chen, L., Zhang, D., & Ma, X. (2022). Air cargo supply chain resilience under COVID-19: A case study of Shanghai Pudong International Airport. Journal of Air Transport Management, 105, 102266.

[6]Chopra, S., & Sodhi, M. S. (2014). Reducing the risk of supply chain disruptions. MIT Sloan Management Review, 55(3), 73–80.

[7]Dubey, R., Gunasekaran, A., & Papadopoulos, T. (2023). Green and resilient supply chain management: A review and future research agenda. Production Planning & Control, 34(2), 105-124.

[8]Farooqi, H., & Ali, M. (2023). A Bayesian network-based resilience model for critical infrastructure systems: A case of seaport operations. Reliability Engineering & System Safety, 234, 109187.

[9]Gardiner, J. (2020). The impact of COVID-19 on air cargo logistics and e-commerce. Journal of Air Transport Management, 89, 101916.

[10]Gölgeci, I., & Kuivalainen, O. (2020). Does social capital matter for supply chain resilience? The role of absorptive capacity and marketing-supply chain management alignment. Industrial Marketing Management, 84, 63–74. https://doi.org/10.1016/j.indmarman.2019.05.006

[11]Hald, K. S., & Coslugeanu, P. (2022). The preliminary research on supply chain resilience: A bibliometric analysis and conceptual framework. Operations Management Research, 15(1-2), 1-18.

[12]Hollnagel, E. (2018). Safety-I and Safety-II: The past and future of safety management. CRC Press.

[13]Hohenstein, N.-O., Feisel, E., & Hartmann, E. (2014). Human resource management issues in supply chain management research: A systematic literature review from 1998 to 2014. International Journal of Physical Distribution & Logistics Management, 44(6), 434–463. https://doi.org/10.1108/IJPDLM-06-2013-0175

[14]Hosseini, S., & Barker, K. (2016). A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics, 180, 68–87. https://doi.org/10.1016/j.ijpe.2016.07.007.

[15]Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535-3552. http://doi.org/10.1080/00207543.2021.1890852

[16]Ishfaq, R., & Bajwa, N. (2019). Profitability of online order fulfillment in multi-channel retailing. European Journal of Operational Research, 272(3), 1028–1040. https://doi.org/10.1016/j.ejor.2018.07.047

[17]Khakzad, N., & Reniers, G. (2018). Using Bayesian networks for resilience assessment of process plants. Risk Analysis, 38(3), 471-483.

[18]Li, Y., Zobel, C. W., & Russel, R. S. (2020). Value of supply chain resilience: Roles of preparedness, recovery, and warning. Decision Sciences, 51(5), 1135-1164.

[19]Lin, Y., & Zhou, L. (2022). The impact of COVID-19 on the efficiency of global air cargo carriers. Transportation Research Part E: Logistics and Transportation Review, 161, 102699.

[20]Mandal, S. (2019). The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility: An empirical investigation. Information Technology & People, 32(2), 297–318. https://doi.org/10.1108/ITP-11-2017-0386

[21]Modgil, S., Singh, R. K., & Foropon, C. (2022). Quality management in humanitarian operations and disaster relief management: A review and future research directions. Annals of Operations Research, 319(1), 1045–1098. https://doi.org/10.1007/s10479-020-03695-5

[22]Ojha, R., Ghadge, A., Tiwari, M. K., & Bititci, U. S. (2018). Bayesian network modelling for supply chain risk propagation. International Journal of Production Research, 56(17), 5795–5819. https://doi.org/10.1080/00207543.2018.1467059

[23]Park, Y., Hong, P., & Roh, J. J. (2022). Supply chain integration and resilience: The mediating role of interfirm information sharing. Supply Chain Management: An International Journal, 27(2), 205-221.

[24]Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: A retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56-65. https://doi.org/10.1111/jbl.12202

[25]Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. https://doi.org/10.1108/09574090910954873

[26]Queiroz, M. M., Ivanov, D., Dolgui, A., & Wamba, S. F. (2022). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 319, 1159–1196. https://doi.org/10.1007/s10479-020-03685-7

[27]Rahman, T., Paul, S. K., Shukla, N., Agarwal, R., & Taghikhah, F. (2022). Supply chain resilience initiatives and strategies: A systematic review. Computers and Industrial Engineering, 170, Article 108317. https://doi.org/10.1016/j.cie.2022.108317

[28]Sabouhi, F., & Jabalameli, M. S. (2023). A hybrid robust-stochastic optimization model for a resilient pharmaceutical supply chain network design. Computers & Industrial Engineering, 175, 108877.

[29]Sawik, T. (2020). Supply chain disruption management under operational and financial risks. Omega, 95, 102073.

[30]Sharma, S. K., & Routroy, S. (2023). Modeling the barriers of supply chain resilience in the plastic industry. Journal of Cleaner Production, 382, 135232.

[31]Shekarian, M., & Mellat Parast, M. (2021). An integrative approach to supply chain disruption risk and resilience management: A literature review. International Journal of Logistics Research and Applications, 24(5), 427–455. https://doi.org/10.1080/13675567.2020.1763935

[32]Singh, C. S., Soni, G., & Badhotiya, G. K. (2022). A systematic literature review on supply chain resilience in SMEs. Annals of Operations Research, 1-32.

[33]Sun, J., & Yuan, Y. (2022). The impact of COVID-19 on China's air cargo transport. Research in Transportation Economics, 93, 101153.

[34]Tukamuhabwa, B. R., Stevenson, M., & Busby, J. (2017). Supply chain resilience in a developing country context: A case study on the interconnectedness of threats, strategies and outcomes. Supply Chain Management: An International Journal, 22(6), 486–505. https://doi.org/10.1108/SCM-02-2017-0059

[35]Vanpoucke, E., & Ellis, S. C. (2020). Building supply-side resilience – A behavioural view. International Journal of Operations & Production Management, 40(1), 11–33. https://doi.org/10.1108/IJOPM-09-2017-0562

[36]Wicaksana, A., & Ho, W. (2023). A Bayesian network model for quantifying the resilience of intermodal transport networks. Transportation Research Part A: Policy and Practice, 167, 103558.

[37]Xu, X., & Wang, Y. (2022). Analysis of air cargo network resilience under the COVID-19 pandemic: A case study of China. Journal of Air Transport Management, 105, 102281.

[38]Yang, M., & Zhang, A. (2023). Digitalization and supply chain resilience: The moderating role of supply chain integration. International Journal of Production Economics, 255, 108677.

[39]Zhang, D., & Wang, X. (2021). Optimization of air cargo network based on complex network theory. Journal of Advanced Transportation, 2021, 1-12.

[40]Zhou, L., & Wang, X. (2022). A Petri net-based model for resilience assessment of port logistics systems. Maritime Policy & Management, 49(2), 1-19.