105
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Simulation system design for critical-node detection and robustness analysis of supply chains

ORCID Icon, , ORCID Icon &
Article: 2326673 | Received 09 Oct 2022, Accepted 29 Feb 2024, Published online: 06 Mar 2024

References

  • Addis, B., R. Aringhieri, A. Grosso, and P. Hosteins. 2016. “Hybrid Constructive Heuristics for the Critical Node Problem.” Annual of Operation Research 238 (1): 606–628. https://doi.org/10.1007/s10479-016-2110-y.
  • An, S., and R. Yu. 2020. “Review on Complex Network Theory Research.” Computer Systems and Applications 29 (9): 26–31.
  • Arulselvan, A., C. W. Commander, L. Elefteriadou, and P. M. Pardalos. 2009. “Detecting Critical Nodes in Sparse Graphs.” Computers and Operations Research 36 (7): 2193–2200. https://doi.org/10.1016/j.cor.2008.08.016.
  • Boginski, V., and C. W. Commander. 2009. Identifying Critical Nodes in Protein-Protein Interaction Networks, 153–167. Singapore: World Scientific Publishing.
  • Chau, K. Y., Y. M. Tang, X. Liu, Y. K. Ip, and Y. Tao. 2021. “Investigation of Critical Success Factors for Improving Supply Chain Quality Management in Manufacturing.” Enterprise Information Systems 15 (10): 1418–1437. https://doi.org/10.1080/17517575.2021.1880642.
  • Didenko, O. 2021. “Supply Chain Crisis: Why International Shipping is in Chaos Right Now.” https://gbksoft.com/blog/supply-chain-crisis/.
  • Fan, N., and P. M. Pardalos 2010. “Robust Optimization of Graph Partitioning and Critical Node Detection in Analyzing Networks.” International Conference on Combinatorial Optimization & Applications, Hawaii (pp. 170–183).
  • Feng, X., C. Hu, C. Xu, B. Wu, P. Ni, and X. Liu. 2019. “Key Node Recognition Method Based on Optimal Network Efficiency.” Computer Engineering and Design 40 (2): 328–335.
  • Gao, Q., S. Guo, X. Liu, G. Manogaran, S. Kadry, and S. Kadry. 2019. “Simulation Analysis of Supply Chain Risk Management System Based on Iot Information Platform.” Enterprise Information Systems 14(9–10): 1354–1378. https://doi.org/10.1080/17517575.2019.1644671.
  • Gao, N., S. Zhao, and X. Zhang 2009. “Research on the Service-Oriented Manufacturing Model.” In 2009 IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong (pp. 2431–2434). IEEM.
  • Ge, W., and X. Qin. 2013. “The Evaluation Methods of Node Importance in Complex Supply Chain Network.” Advanced Materials Research 694–697:3575–3578. https://doi.org/10.4028/www.scientific.net/AMR.694-697.3575.
  • Gholami-Zanjani, S. M., W. Klibi, M. S. Jabalameli, and M. S. Pishhvaee. 2021. “The Design of Resilient Food Supply Chain Networks Prone to Epidemic Disruptions.” International Journal of Production Economics 233 (1): 108001. https://doi.org/10.1016/j.ijpe.2020.108001.
  • Gorton, M., M. Dumitrashko, and J. White. 2005. “Overcoming Supply Chain Failure in the Agri-Food Sector: A Case Study from Moldova.” Food Policy 31 (1): 90–103. https://doi.org/10.1016/j.foodpol.2005.08.003.
  • Hosseinalipour, S., J. Mao, D. Y. Eun, and H. Dai. 2019. “Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks.” IEEE Transactions on Network Science and Engineering 7 (3): 1710–1723. https://doi.org/10.1109/TNSE.2019.2951084.
  • Jiang, J., Y. Xia, S. Xu, H. L. Shen, and J. Wu. 2020. “An Asymmetric Interdependent Networks Model for Cyber-Physical Systems.” Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (5): 053135. https://doi.org/10.1063/1.5139254.
  • Kaihara, T., and N. Fujii. 2013. “A Proposal of Economic Negotiation Mechanism with a Complex Network for Supply Chain Management.” Procedia CIRP 12:318–323. https://doi.org/10.1016/j.procir.2013.09.055.
  • Kitsak, M., L. K. Gallos, S. Havlin, F. Liljeros, L. Muchnik, H. E. Stanley, and H. A. Makse. 2010. “Identification of Influential Spreaders in Complex Networks.” Nature Physics 6 (11): 888–893. https://doi.org/10.1038/nphys1746.
  • Li, L. 2023. “Unveiling the Effects of Supply Chain Relationship Types on Enterprise Performance.” Enterprise Information Systems 18 (2). https://doi.org/10.1080/17517575.2023.2274141.
  • Liang, Z., D. Fu, and Y. Deng. 2017. “A Load Redistribution Strategy Based on Dynamic Information in Cascading Process.” Computer Engineering and Science 39 (9): 1638–1644.
  • Li, Y., and Z. Du 2014. “Agri-Food Supply Chain Network Robustness Research Based on Complex Network.” In Proceedings of 2014 International Conference on Industrial Engineering and Information Technology, Beijing. IEEE Beijing Section: 5.
  • Li, D., Q. Wang, X. Zhang, and X. Fan 2023. “Predicting the Cascading Failure Propagation Path in Complex Networks Based on Attention-LSTM Neural Networks.” In 2023 IEEE International Symposium on Circuits and Systems (ISCAS). https://doi.org/10.1109/ISCAS46773.2023.10181599.
  • Monostori, J. 2018. “Supply Chains Robustness: Challenges and Opportunities.” Procedia CIRP 67:110–115. https://doi.org/10.1016/j.procir.2017.12.185.
  • Mu, D., X. Yue, and H. Ren. 2021. “Robustness of Cyber-Physical Supply Networks in Cascading Failures.” Entropy 23 (6): 769. https://doi.org/10.3390/e23060769.
  • Newman, M. E. J. 2001. “Scientific Collaboration Networks. II. Shortest Paths, Weighted Networks, and Centrality.” Physical Review E, Statistical, Nonlinear, and Soft Matter Physics 64 (1–2): 016132. https://doi.org/10.1103/PhysRevE.64.016132.
  • Oger, R., M. Lauras, B. Montreuil, and B. Frédérick. 2020. “A Decision Support System for Strategic Supply Chain Capacity Planning Under Uncertainty: Conceptual Framework and Experiment.” Enterprise Information Systems 16 (3): 1–45. https://doi.org/10.1080/17517575.2020.1793390.
  • Piraveenan, M., H. Jing, P. Matous, and Y. Todo. 2020. “Topology of International Supply Chain Networks: A Case Study Using Factset Revere Datasets.” IEEE Access 8:1–1. https://doi.org/10.1109/ACCESS.2020.3015910.
  • Ponis, S. T., and A. Ntalla. 2006. “Crisis Management Practices and Approaches: Insights from Major Supply Chain Crises.” Procedia Economics and Finance 39: 668–673. https://doi.org/10.1016/S2212-5671(16)30287-8.
  • Shi, X., W. Long, Y. Li, and D. Deng. 2022. “Robustness of Interdependent Supply Chain Networks Against Both Functional and Structural Cascading Failures.” Physica A: Statistical Mechanics and Its Applications 586:586. https://doi.org/10.1016/j.physa.2021.126518.
  • Supun, S. P., G. H. B. Michael, P. Mahendrarajah, K. Dharshana, and P. Mamata. 2018. “Topological Structure of Manufacturing Industry Supply Chain Networks.” Complexity 2018:1–23. (Pta11). https://doi.org/10.1155/2018/3924361.
  • Tang, L., K. Jing, J. He, and H. E. Stanley. 2016a. “Complex Interdependent Supply Chain Networks: Cascading Failure and Robustness.” Physica, A Statistical Mechanics and Its Applications 443: 58–69. https://doi.org/10.1016/j.physa.2015.09.082.
  • Tang, L., K. Jing, J. He, and H. E. Stanley. 2016b. “Robustness of Assembly Supply Chain Networks by Considering Risk Propagation and Cascading Failure.” Physica A Statistical Mechanics & Its Applications 459: 129–139. https://doi.org/10.1016/j.physa.2016.04.030.
  • Tee, Y. S., and M. D. Rossetti. 2002. “A Robustness Study of a Multi-Echelon Inventory Model via Simulation.” International Journal of Production Economics 80 (3): 265–277. https://doi.org/10.1016/S0925-5273(02)00259-1.
  • Tian, Y., Y. Shi, X. Shi, M. Li, and M. Zhang. 2021. “Research on Supply Chain Network Resilience Considering the Exit and Reselection of Enterprises.” IEEE Access 1 (1): 91265–91281. https://doi.org/10.1109/ACCESS.2021.3090332.
  • Ventresca, M. 2012. “Global Search Algorithms Using a Combinatorial Unranking Based Problem Representation for the Critical Node Detection Problem.” Computers and Operation Research 39 (11): 2763–2775. https://doi.org/10.1016/j.cor.2012.02.008.
  • Vieira, G. E., and R. Lemos 2009. “Understanding Supply Chain Robustness.“IEEE/INFORMS International Conference on Service Operations IEEE Xplore, Chicago (pp. 157–162).
  • Vlajic, J. V., V. Vorst, and G. A. J. Jack. 2012. “A Framework for Designing Robust Food Supply Chains.” International Journal of Production Economics 137 (1): 176–189. https://doi.org/10.1016/j.ijpe.2011.11.026.
  • Wang, Y., and R. Xiao. 2016. “An Ant Colony Based Resilience Approach to Cascading Failures in Cluster Supply Network.” Physica A: Statistical Mechanics and its Applications 563: 125466.
  • Wang, Y., and F. Zhang. 2018. “Modeling and Analysis of Under-Load-Based Cascading Failures in Supply Chain Networks.” Nonlinear Dynamics 92 (3): 1403–1417. https://doi.org/10.1007/s11071-018-4135-z.
  • Wang, J., H. Zhou, and X. Jin. 2021. “Risk Transmission in Complex Supply Chain Network with Multi-Drivers.” Chaos Solitons & Fractals 143.5439:110259. https://doi.org/10.1016/j.chaos.2020.110259.
  • Wang, H., and M. Zhu. 2019. “Vital Nodes Identification by Hybrid K-Shell Method Based on Vertex Strength.” Journal of East China Normal University (Natural Science) 3 (3): 101–109. https://doi.org/10.3969/j.issn.1000-5641.2019.03.011.
  • Wieland, A., C. M. Wallenburg, and J. Töyli, Harri Lorentz, and Lauri Ojala. 2013. “The Influence of Relational Competencies on Supply Chain Resilience: A Relational View.” International Journal of Physical Distribution & Logistics Management 43 (4): 300–320. https://doi.org/10.1108/IJPDLM-08-2012-0243.
  • Xuan, Q., F. Du, Y. Li, and T. J. Wu. 2011. “A Framework to Model the Topological Structure of Supply Networks.” IEEE Transactions on Automation Science and Engineering 8 (2): 442–446. https://doi.org/10.1109/TASE.2010.2071414.
  • Yang, Q., C. M. Scoglio, and D. M. Gruenbacher. 2021. “Robustness of Supply Chain Networks Against Underload Cascading Failures.” Physica A: Statistical Mechanics and Its Applications 563:125466. https://doi.org/10.1016/j.physa.2020.125466.
  • Yue, X., D. Mu, C. Wang, H. Ren, and P. Ghadimi. 2023. “Topological Structure and COVID-19 Related Risk Propagation in Tft-Lcd Supply Networks.” International Journal of Production Research 61 (8): 2758–2778. https://doi.org/10.1080/00207543.2022.2027039.
  • Zeng, Y., and R. Xiao. 2014. “Modelling of Cluster Supply Network with Cascading Failure Spread and Its Vulnerability Analysis.” International Journal of Production Research 52 (23): 6938–6953. https://doi.org/10.1080/00207543.2014.917769.
  • Zhang, Y., and O. Yagan. 2020. “Robustness of Interdependent Cyber-Physical Systems Against Cascading Failures.” IEEE Transactions on Automatic Control 65 (2): 711–726. https://doi.org/10.1109/TAC.2019.2918120.
  • Zhao, P., Z. Li, X. Han, and X. Duan. 2022. “Supply Chain Network Resilience by Considering Disruption Propagation: Topological and Operational Perspectives.” IEEE Systems Journal 16 (4): 5305–5316. https://doi.org/10.1109/JSYST.2022.3161788.
  • Zhao, K., Scheibe, Kevin, Blackhurst, Jennifer and Kumar, Akhil 2019. “Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization.” IEEE Transactions on Engineering Management 66 (1): 1–13.
  • Zheng, X., and L. Zhang. 2020. “Risk Assessment of Supply-Chain Systems: A Probabilistic Inference Method.” Enterprise Information Systems 14 (6): 858–877. https://doi.org/10.1080/17517575.2020.1762004.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.