Research on supply network resilience considering the ripple effect with collaboration

References

• Adenso-Díaz, B., J. Mar-Ortiz, and S. Lozano. 2018. “Assessing Supply Chain Robustness to Links Failure.” International Journal of Production Research 56 (15): 5104–5117.
   Web of Science ®Google Scholar
• Aven, T. 2017. “How Some Types of Risk Assessments can Support Resilience Analysis and Management.” Reliability Engineering and System Safety 167: 536–543.
   Web of Science ®Google Scholar
• Azaron, A., U. Venkatadri, and A. F. Doost. 2021. “Designing Profitable and Responsive Supply Chains Under Uncertainty.” International Journal of Production Research 59 (1): 213–225.
   Web of Science ®Google Scholar
• Barabasi, A. L., and R. Albert. 1999. “Emergence of Scaling in Random Networks.” Science 286 (5439): 509–512.
   PubMed Web of Science ®Google Scholar
• Basole, R. C., and M. A. Bellamy. 2014. “Supply Network Structure, Visibility, and Risk Diffusion: A Computational Approach.” Decision Sciences 45 (4): 753–789.
   Web of Science ®Google Scholar
• Brandon-Jones, E., B. Squire, C. W. Autry, and K. J. Petersen. 2014. “A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness.” Journal of Supply Chain Management 50 (3): 55–73.
   Web of Science ®Google Scholar
• Brintrup, A., A. Ledwoch, and J. Barros. 2016. “Topological Robustness of the Global Automotive Industry.” Logistics Research 9 (1): 1–17.
   Google Scholar
• Büttner, K., J. Krieter, A. Traulsen, and I. Traulsen. 2013. “Static Network Analysis of a Pork Supply Chain in Northern Germany—Characterisation of the Potential Spread of Infectious Diseases via Animal Movements.” Preventive Veterinary Medicine 110 (3/4): 418–428.
   PubMed Web of Science ®Google Scholar
• Cardoso, S. R., A. P. Barbosa-Póvoa, S. Relvas, and A. Q. Novais. 2015. “Resilience Metrics in the Assessment of Complex Supply-Chains Performance Operating Under Demand Uncertainty.” Omega 56: 53–73.
   Web of Science ®Google Scholar
• Chakraborty, T., S. S. Chauhan, and M. Ouhimmou. 2020. “Mitigating Supply Disruption with a Backup Supplier Under Uncertain Demand: Competition vs. Cooperation.” International Journal of Production Research 58 (12): 3618–3649.
   Web of Science ®Google Scholar
• Chauhan, V. K., S. Perera, and A. Brintrup. 2021. “The Relationship Between Nested Patterns and the Ripple Effect in Complex Supply Networks.” International Journal of Production Research 59 (1): 325–341.
   Web of Science ®Google Scholar
• Chen, J., S. Amrik, A. S. Sohal, and D. I. Prajogo. 2013. “Supply Chain Operational Risk Mitigation: A Collaborative Approach.” International Journal of Production Research 51 (7): 2186–2199.
   Web of Science ®Google Scholar
• Chen, L., H. Dui, and C. Zhang. 2020. “A Resilience Measure for Supply Chain Systems Considering the Interruption with the Cyber-Physical Systems.” Reliability Engineering and System Safety 199: 106869.
   Web of Science ®Google Scholar
• Chowdhury, M. M. H., and M. Quaddus. 2017. “Supply Chain Resilience: Conceptualization and Scale Development Using Dynamic Capability Theory.” International Journal of Production Economics 188: 185–204.
   Web of Science ®Google Scholar
• Dixit, V., P. Verma, and M. K. Tiwari. 2020. “Assessment of pre and Post-Disaster Supply Chain Resilience Based on Network Structural Parameters with CVaR as a Risk Measure.” International Journal of Production Economics 227: 107655.
   Web of Science ®Google Scholar
• Dolgui, A., and D. Ivanov. 2021. “Ripple Effect and Supply Chain Disruption Management: New Trends and Research Directions.” International Journal of Production Research 59 (1): 102–109.
   Web of Science ®Google Scholar
• Dolgui, A., D. Ivanov, and M. Rozhkov. 2019. “Does the Ripple Effect Influence the Bullwhip Effect? An Integrated Analysis of Structural and Operational Dynamics in the Supply Chain.” International Journal of Production Research 2019. doi:10.1080/00207543.2019.1627438.
   Web of Science ®Google Scholar
• Dolgui, A., D. Ivanov, and B. Sokolov. 2020. “Reconfigurable Supply Chain: The X-Network.” International Journal of Production Research 58 (13): 4138–4163.
   Web of Science ®Google Scholar
• Dubey, R., A. Gunasekaran, D. J. Bryde, Y. K. Dwivedi, and T. Papadopoulos. 2020. “Blockchain Technology for Enhancing Swift-Trust, Collaboration and Resilience Within a Humanitarian Supply Chain Setting.” International Journal of Production Research 58 (11): 3381–3398.
   Web of Science ®Google Scholar
• Dubey, R., A. Gunasekaran, S. J. Childe, S. F. Wamba, D. Roubaud, and C. Foropon. 2021. “Empirical Investigation of Data Analytics Capability and Organizational Flexibility as Complements to Supply Chain Resilience.” International Journal of Production Research 59 (1): 110–128.
   Web of Science ®Google Scholar
• Duong, L. N. K., and J. Chong. 2020. “Supply Chain Collaboration in the Presence of Disruptions: A Literature Review.” International Journal of Production Research 58 (11): 3488–3507.
   Web of Science ®Google Scholar
• Faturechi, R., and E. Miller-Hooks. 2015. “Measuring the Performance of Transportation Infrastructure Systems in Disasters: A Comprehensive Review.” Journal of Infrastructure Systems 21 (1): 04014025.
   Web of Science ®Google Scholar
• Fujiwara, Y., and H. Aoyama. 2010. “Large-scale Structure of a Nation-Wide Production Network.” European Physical Journal B 77 (4): 565–580.
   Web of Science ®Google Scholar
• Gang, Z., Y. Ying-Bao, B. Xu, and P. Qi-Yuan. 2015. “On the Topological Properties of Urban Complex Supply Chain Network of Agricultural Products in Mainland China.” Transportation Letters 7 (4): 188–195.
   Web of Science ®Google Scholar
• Gholami-Zanjani, S. M., M. S. Jabalameli, W. Klibi, and M. S. Pishvaee. 2021. “A Robust Location-Inventory Model for Food Supply Chains Operating Under Disruptions with Ripple Effects.” International Journal of Production Research 59 (1): 301–324.
   Web of Science ®Google Scholar
• Ghomi-Avili, M., R. Tavakkoli-Moghaddam, S. G. J. Naeini, and A. Jabbarzadeh. 2021. “Competitive Green Supply Chain Network Design Model Considering Inventory Decisions Under Uncertainty: A Real Case of a Filter Company.” International Journal of Production Research 59 (14): 4248–4267.
   Web of Science ®Google Scholar
• Habib, M. S., O. Asghar, A. Hussain, M. Imran, M. P. Mughal, and B. Sarkar. 2021. “A Robust Possibilistic Programming Approach Toward Animal fat-Based Biodiesel Supply Chain Network Design Under Uncertain Environment.” Journal of Cleaner Production 278: 122403.
   Web of Science ®Google Scholar
• Han, Y., W. K. Chong, and D. Li. 2020. “A Systematic Literature Review of the Capabilities and Performance Metrics of Supply Chain Resilience.” International Journal of Production Research 58 (15): 4541–4566.
   Web of Science ®Google Scholar
• Han, J., and K. S. Shin. 2016. “Evaluation Mechanism for Structural Robustness of Supply Chain Considering Disruption Propagation.” International Journal of Production Research 54 (1): 135–151.
   Web of Science ®Google Scholar
• Hosseini, S., A. Al Khaled, and M. D. Sarder. 2016. “A General Framework for Assessing System Resilience Using Bayesian Networks: A Case Study of Sulfuric Acid Manufacturer.” Journal of Manufacturing Systems 41: 211–227.
   Web of Science ®Google Scholar
• Hosseini, S., and K. Barker. 2016. “Modeling Infrastructure Resilience Using Bayesian Networks: A Case Study of Inland Waterway Ports.” Computers and Industrial Engineering 93: 252–266.
   Web of Science ®Google Scholar
• Hosseini, S., and D. Ivanov. 2020. “Bayesian Networks for Supply Chain Risk, Resilience and Ripple Effect Analysis: A Literature Review.” Expert Systems with Applications 161: 113649.
   PubMed Web of Science ®Google Scholar
• Hosseini, S., D. Ivanov, and A. Dolgui. 2019. “Review of Quantitative Methods for Supply Chain Resilience Analysis.” Transportation Research Part E: Logistics and Transportation Review 125: 285–307.
   Web of Science ®Google Scholar
• Hosseini, S., D. Ivanov, and A. Dolgui. 2020. “Ripple Effect Modelling of Supplier Disruption: Integrated Markov Chain and Dynamic Bayesian Network Approach.” International Journal of Production Research 58 (11): 3284–3303.
   Web of Science ®Google Scholar
• Hosseini, S., N. Morshedlou, D. Ivanov, M. D. Sarder, K. Barker, and A. Al Khaled. 2019. “Resilient Supplier Selection and Optimal Order Allocation Under Disruption Risks.” International Journal of Production Economics 213: 124–137.
   Web of Science ®Google Scholar
• Ivanov, D. 2017. “Simulation-based Ripple Effect Modelling in the Supply Chain.” International Journal of Production Research 55 (7): 2083–2101.
   Web of Science ®Google Scholar
• Ivanov, D. 2018. “Supply Chain Management and Structural Dynamics Control.” In Structural Dynamics and Resilience in Supply Chain Risk Management, edited by Camille C. Price, Joe Zhu, and Frederick S. Hillier, 1–18. Cham: Springer.
   Google Scholar
• Ivanov, D. 2020. “Viable Supply Chain Model: Integrating Agility, Resilience and Sustainability Perspectives—Lessons from and Thinking Beyond the Covid-19 Pandemic.” Annals of Operations Research 2020: 1–21. doi:10.1007/s10479-020-03640-6.
   Web of Science ®Google Scholar
• 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 2021), doi:10.1080/00207543.2021.1890852.
   Web of Science ®Google Scholar
• Ivanov, D., and A. Dolgui. 2019. “Low-Certainty-Need (LCN) Supply Chains: A new Perspective in Managing Disruption Risks and Resilience.” International Journal of Production Research 57 (15/16): 5119–5136.
   Web of Science ®Google Scholar
• Ivanov, D., and A. Dolgui. 2020a. “A Digital Supply Chain Twin for Managing the Disruption Risks and Resilience in the era of Industry 4.0.” Production Planning and Control 2020: 1–14. doi:10.1080/09537287.2020.1768450.
   Web of Science ®Google Scholar
• Ivanov, D., and A. Dolgui. 2020b. “Viability of Intertwined Supply Networks: Extending the Supply Chain Resilience Angles Towards Survivability. A Position Paper Motivated by COVID-19 Outbreak.” International Journal of Production Research 58 (10): 2904–2915.
   Web of Science ®Google Scholar
• Ivanov, D., and A. Dolgui. 2021. “OR-methods for Coping with the Ripple Effect in Supply Chains During COVID-19 Pandemic: Managerial Insights and Research Implications.” International Journal of Production Economics 232: 107921.
   PubMedGoogle Scholar
• Ivanov, D., A. Dolgui, and B. Sokolov. 2019. “The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics.” International Journal of Production Research 57 (3): 829–846.
   Web of Science ®Google Scholar
• Ivanov, D., C. S. Tang, A. Dolgui, D. Battini, and A. Das. 2020. “Researchers’ Perspectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management.” International Journal of Production Research 2020. doi:10.1080/00207543.2020.1798035.
   Web of Science ®Google Scholar
• Jiang, J., and X. Liu. 2021. “Bayesian Stackelberg Game Model for Water Supply Networks Against Interdictions with Mixed Strategies.” International Journal of Production Research 59 (8): 2537–2557.
   Web of Science ®Google Scholar
• Jüttner, U., and S. Maklan. 2011. “Supply Chain Resilience in the Global Financial Crisis: An Empirical Study.” Supply Chain Management 16 (4): 246–259.
   Web of Science ®Google Scholar
• Kamalahmadi, M., and M. M. Parast. 2016. “A Review of the Literature on the Principles of Enterprise and Supply Chain Resilience: Major Findings and Directions for Future Research.” International Journal of Production Economics 171: 116–133.
   Web of Science ®Google Scholar
• Kim, Y., Y. S. Chen, and K. Linderman. 2015. “Supply Network Disruption and Resilience: A Network Structural Perspective.” Journal of Operations Management 33: 43–59.
   Web of Science ®Google Scholar
• Kim, Y., T. Y. Choi, T. T. Yan, and K. Dooley. 2011. “Structural Investigation of Supply Networks: A Social Network Analysis Approach.” Journal of Operations Management 29 (3): 194–211.
   Web of Science ®Google Scholar
• Kinra, A., D. Ivanov, A. Das, and A. Dolgui. 2020. “Ripple Effect Quantification by Supplier Risk Exposure Assessment.” International Journal of Production Research 58 (18): 5559–5578.
   Web of Science ®Google Scholar
• Lee, B. W., J. Yoon, and S. J. Lee. 2021. “A Ripple Effect in Prehospital Stroke Patient Care.” International Journal of Production Research 59 (1): 168–187.
   Web of Science ®Google Scholar
• Lei, Z. M., M. K. Lim, L. Cui, and Y. Z. Wang. 2021. “Modelling of Risk Transmission and Control Strategy in the Transnational Supply Chain.” International Journal of Production Research 59 (1): 148–167.
   Web of Science ®Google Scholar
• Levner, E., and A. Ptuskin. 2018. “Entropy-based Model for the Ripple Effect: Managing Environmental Risks in Supply Chains.” International Journal of Production Research 56 (7): 2539–2551.
   Web of Science ®Google Scholar
• Li, Y. H., K. D. Chen, S. Collignon, and D. Ivanov. 2021. “Ripple Effect in the Supply Chain Network: Forward and Backward Disruption Propagation, Network Health and Firm Vulnerability.” European Journal of Operational Research 291 (3): 1117–1131.
   Web of Science ®Google Scholar
• Li, G., H. Fan, P. K. C. Lee, and T. C. E. Cheng. 2015. “Joint Supply Chain Risk Management: An Agency and Collaboration Perspective.” International Journal of Production Economics 164: 83–94.
   Web of Science ®Google Scholar
• Li, Y. H., and L. Xu. 2021. “Cybersecurity Investments in a two-Echelon Supply Chain with Third-Party Risk Propagation.” International Journal of Production Research 59 (4): 1216–1238.
   Web of Science ®Google Scholar
• Li, Y. H., and C. W. Zobel. 2020. “Exploring Supply Chain Network Resilience in the Presence of the Ripple Effect.” International Journal of Production Economics 228: 107693.
   Web of Science ®Google Scholar
• Liu, M., Z. Z. Liu, F. Chu, F. F. Zheng, and C. B. Chu. 2021. “A New Robust Dynamic Bayesian Network Approach for Disruption Risk Assessment Under the Supply Chain Ripple Effect.” International Journal of Production Research 59 (1): 265–285.
   Web of Science ®Google Scholar
• Llaguno, A., J. Mula, and F. Campuzano-Bolarin. 2021. “State of the Art, Conceptual Framework and Simulation Analysis of the Ripple Effect on Supply Chains.” International Journal of Production Research 2021: 1–23. doi:10.1080/00207543.2021.1877842.
   Web of Science ®Google Scholar
• Luo, M. L., G. Li, C. L. J. Wan, R. Qu, and P. Ji. 2015. “Supply Chain Coordination with Dual Procurement Sources via Real-Option Contract.” Computers and Industrial Engineering 80 (1): 274–283.
   Web of Science ®Google Scholar
• Mishra, D., Y. K. Dwivedi, N. P. Rana, and E. Hassini. 2021. “Evolution of Supply Chain Ripple Effect: A Bibliometric and Meta-Analytic View of the Constructs.” International Journal of Production Research 59 (1): 129–147.
   Web of Science ®Google Scholar
• Mizgier, K. J. 2017. “Global Sensitivity Analysis and Aggregation of Risk in Multi-Product Supply Chain Networks.” International Journal of Production Research 55 (1): 130–144.
   Web of Science ®Google Scholar
• Monostori, J. 2016. “Robustness- and Complexity-Oriented Characterization of Supply Networks’ Structures.” Procedia CIRP 57: 67–72.
   Google Scholar
• Nair, A., and J. M. Vidal. 2011. “Supply Network Topology and Robustness Against Disruptions – An Investigation Using Multi-Agent Model.” International Journal of Production Research 49: 1391–1404.
   Web of Science ®Google Scholar
• Namdar, J., X. P. Li, R. Sawhney, and N. Pradhan. 2018. “Supply Chain Resilience for Single and Multiple Sourcing in the Presence of Disruption Risks.” International Journal of Production Research 56 (6): 2339–2360.
   Web of Science ®Google Scholar
• Namdar, J., S. A. Torabi, N. Sahebjamnia, and N. N. Pradhan. 2021. “Business Continuity-Inspired Resilient Supply Chain Network Design.” International Journal of Production Research 59 (5): 1331–1367.
   Web of Science ®Google Scholar
• Newman, M. E. J. 2010. Networks: An Introduction. Oxford: Oxford University Press, Inc.
   Google Scholar
• Ozcelik, G., O. F. Yilmaz, and F. B. Yeni. 2021. “Robust Optimisation for Ripple Effect on Reverse Supply Chain: An Industrial Case Study.” International Journal of Production Research 59 (1): 245–264.
   Web of Science ®Google Scholar
• Pavlov, A., D. Ivanov, A. Dolgui, and B. Sokolov. 2018. “Hybrid Fuzzy-Probabilistic Approach to Supply Chain Resilience Assessment.” IEEE Transactions on Engineering Management 65 (2): 303–315.
   Web of Science ®Google Scholar
• Payne, J. L., and M. J. Eppstein. 2009. “Evolutionary Dynamics on Scale-Free Interaction Networks.” IEEE Transactions on Evolutionary Computation 13 (4): 895–912.
   Web of Science ®Google Scholar
• Perera, S., M. G. H. Bell, and M. C. J. Bliemer. 2017. “Network Science Approach to Modelling the Topology and Robustness of Supply Chain Networks: A Review and Perspective.” Applied Network Science 2 (1): 33.
   PubMedGoogle Scholar
• Perera, S. S., M. G. H. Bell, M. Piraveenan, D. Kasthurirathna, and M. Parhi. 2018. “Topological Structure of Manufacturing Industry Supply Chain Networks.” Complexity 2018: 3924361.
   Web of Science ®Google Scholar
• Perera, S., D. Kasthurirathna, M. Bell, and M. Bliemer. 2020. “Topological Rationality of Supply Chain Networks.” International Journal of Production Research 58 (10): 3126–3149.
   Web of Science ®Google Scholar
• Ralston, P., and J. Blackhurst. 2020. “Industry 4.0 and Resilience in the Supply Chain: A Driver of Capability Enhancement or Capability Loss?” International Journal of Production Research 58 (10): 5006–5019.
   Web of Science ®Google Scholar
• Ramezankhani, M. J., S. A. Torabi, and F. Vahidi. 2018. “Supply Chain Performance Measurement and Evaluation: A Mixed Sustainability and Resilience Approach.” Computers and Industrial Engineering 126: 531–548.
   Web of Science ®Google Scholar
• Reyes Levalle, R., and S. Y. Nof. 2015. “Resilience by Teaming in Supply Network Formation and re-Configuration.” International Journal of Production Economics 160: 80–93.
   Web of Science ®Google Scholar
• Rezapour, S., R. Srinivasan, J. Tew, J. K. Allen, and F. Mistree. 2018. “Correlation Between Strategic and Operational Risk Mitigation Strategies in Supply Networks.” International Journal of Production Economics 201: 225–248.
   Web of Science ®Google Scholar
• Ribeiro, J. P., and A. Barbosa-Povoa. 2018. “Supply Chain Resilience: Definitions and Quantitative Modelling Approaches - A Literature Review.” Computers and Industrial Engineering 115: 109–122.
   Web of Science ®Google Scholar
• Roberta Pereira, C., M. Christopher, and A. Lago Da Silva. 2014. “Achieving Supply Chain Resilience: The Role of Procurement.” Supply Chain Management 19 (5/6): 626–642.
   Web of Science ®Google Scholar
• Scheibe, K. P., and J. Blackhurst. 2018. “Supply Chain Disruption Propagation: A Systemic Risk and Normal Accident Theory Perspective.” International Journal of Production Research 56 (1–2): 43–59.
   Web of Science ®Google Scholar
• Schneider, C. M., A. A. Moreira, J. S. Andrade, S. Havlin, and H. J. Herrmann. 2011. “Mitigation of Malicious Attacks on Networks.” Proceedings of the National Academy of Sciences of the United States of America 108 (10): 3838–3841.
   PubMed Web of Science ®Google Scholar
• Scholten, K., and S. Schilder. 2015. “The Role of Collaboration in Supply Chain Resilience.” Supply Chain Management: An International Journal 20 (4): 471–484.
   Web of Science ®Google Scholar
• Shekarian, M., S. V. R. Nooraie, and M. M. Parast. 2020. “An Examination of the Impact of Flexibility and Agility on Mitigating Supply Chain Disruptions.” International Journal of Production Economics 220: 107438.
   Web of Science ®Google Scholar
• Shi, X. Q., D. S. Deng, W. Long, Y. Y. Li, and X. H. Yu. 2021. “Research on the Robustness of Interdependent Supply Networks with Tunable Parameters.” Computers and Industrial Engineering 2021. doi:10.1016/j.cie.2021.107431.
   Web of Science ®Google Scholar
• Shi, X. Q., W. Long, Y. Y. Li, D. S. Deng, Y. L. Wei, and H. G. Liu. 2020. “Research on Supply Network Resilience Considering Random and Targeted Disruptions Simultaneously.” International Journal of Production Research 58 (21): 6670–6688.
   Web of Science ®Google Scholar
• Sokolov, B., D. Ivanov, A. Dolgui, and A. Pavlov. 2016. “Structural Quantification of the Ripple Effect in the Supply Chain.” International Journal of Production Research 54 (1): 152–169.
   Web of Science ®Google Scholar
• Sreedevi, R., and H. Saranga. 2017. “Uncertainty and Supply Chain Risk: The Moderating Role of Supply Chain Flexibility in Risk Mitigation.” International Journal of Production Economics 193: 332–342.
   Web of Science ®Google Scholar
• Tan, W. J., W. Cai, and A. N. Zhang. 2020. “Structural-aware Simulation Analysis of Supply Chain Resilience.” International Journal of Production Research 58 (17): 5175–5195.
   Web of Science ®Google Scholar
• Tan, W. J., A. N. Zhang, and W. T. Cai. 2019. “A Graph-Based Model to Measure Structural Redundancy for Supply Chain Resilience.” International Journal of Production Research 57 (20): 6385–6404.
   Web of Science ®Google Scholar
• Tang, L., K. Jing, J. He, and H. E. Stanley. 2016. “Complex Interdependent Supply Chain Networks: Cascading Failure and Robustness.” Physica A: Statistical Mechanics and its Applications 443: 58–69.
   Web of Science ®Google Scholar
• Thadakamalla, H. P., U. N. Raghavan, S. Kumara, and R. Albert. 2004. “Survivability of Multiagent-Based Supply Networks: A Topological Perspective.” IEEE Intelligent Systems 19 (5): 24–31.
   Web of Science ®Google Scholar
• Wang, J. 2013. “Robustness of Complex Networks with the Local Protection Strategy Against Cascading Failures.” Safety Science 53: 219–225.
   Web of Science ®Google Scholar
• Wang, L., Y. B. Fu, M. Z. Q. Chen, and X. H. Yang. 2017. “Controllability Robustness for Scale-Free Networks Based on Nonlinear Load-Capacity.” Neurocomputing 251: 99–105.
   Web of Science ®Google Scholar
• Wang, Y. C., and R. B. Xiao. 2016. “An ant Colony Based Resilience Approach to Cascading Failures in Cluster Supply Network.” Physica A: Statistical Mechanics and its Applications 462: 150–166.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Willems, S. P. 2008. “Real-world Multi-Echelon Supply Chains Used for Inventory Optimization.” Manufacturing and Service Operations Management 10 (1): 19–23.
   Web of Science ®Google Scholar
• Xu, M., X. Wang, and L. Zhao. 2014. “Predicted Supply Chain Resilience Based on Structural Evolution Against Random Supply Disruptions.” International Journal of Systems Science: Operations and Logistics 1 (2): 105–117.
   Google Scholar
• Yolmeh, A., and U. Saif. 2021. “Closed-loop Supply Chain Network Design Integrated with Assembly and Disassembly Line Balancing Under Uncertainty: An Enhanced Decomposition Approach.” International Journal of Production Research 59 (9): 2690–2707.
   Web of Science ®Google Scholar
• Yoon, J., S. Talluri, and C. Rosales. 2020. “Procurement Decisions and Information Sharing Under Multi-Tier Disruption Risk in a Supply Chain.” International Journal of Production Research 58 (5): 1362–1383.
   Web of Science ®Google Scholar
• Yu, W. T., M. A. Jacobs, R. Chavez, and J. H. Yang. 2019. “Dynamism, Disruption Orientation, and Resilience in the Supply Chain and the Impacts on Financial Performance: A Dynamic Capabilities Perspective.” International Journal of Production Economics 218: 352–362.
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Zhao, K., T. P. Harrison, and J. Yen. 2011. “Achieving High Robustness in Supply Distribution Networks by Rewiring.” IEEE Transactions on Engineering Management 58 (2): 347–362.
   Web of Science ®Google Scholar
• Zhao, K., A. Kumar, T. P. Harrison, and J. Yen. 2011. “Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions.” IEEE Systems Journal 5 (1): 28–39.
   Web of Science ®Google Scholar
• Zhao, K., Z. Zuo, and J. V. Blackhurst. 2019. “Modelling Supply Chain Adaptation for Disruptions: An Empirically Grounded Complex Adaptive Systems Approach.” Journal of Operations Management 65 (2): 190–212.
   Web of Science ®Google Scholar