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Resilience strategies in an intertwined supply network: Mitigating the vulnerability under disruption ripple effects

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  • Ren, Huanyu
  • Wang, Chao
  • Mu, Dong
  • Lim, Ming K.
  • Yue, Xiongping
  • Hu, Xiaoqian
  • Peng, Rui
  • Tsao, Yu-Chung

Abstract

Intertwined supply network (ISN) is a complex system consisting of multiple interconnected supply chains orchestrated by different focal firms. The inherent interconnectedness of an ISN makes it vulnerable to localized disruptions, which can propagate through intricate supplier-buyer relationships, causing unpredictable disruption ripple effects that exacerbate vulnerabilities. While existing literature provides valuable insights into the vulnerability of supply networks with a single focal firm, less attention has been given to ISN comprising multiple competing focal firms. This study proposes an agent-based model to simulate the diffusion of disruption ripple effects in a realistic ISN. The model is used to assess the relative effects of firms' structural and operational attributes on vulnerability and to compare the effectiveness of three mainstream resilience strategies—resistance, adaptation, and recovery—in mitigating the overall vulnerability of ISN. Furthermore, the interaction of resilience strategies initiated by different focal firms in the ISN is explored. The results suggest that focal firms should prioritize their own structural attributes and those of their neighboring firms to address vulnerabilities effectively. Moreover, focal firms can identify partners with higher reciprocity and engage in cooperation for resilience investment. This study contributes to the understanding of ISN vulnerability and provides practical insights for developing effective resilience strategies in complex supply networks.

Suggested Citation

  • Ren, Huanyu & Wang, Chao & Mu, Dong & Lim, Ming K. & Yue, Xiongping & Hu, Xiaoqian & Peng, Rui & Tsao, Yu-Chung, 2024. "Resilience strategies in an intertwined supply network: Mitigating the vulnerability under disruption ripple effects," International Journal of Production Economics, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:proeco:v:278:y:2024:i:c:s0925527324002767
    DOI: 10.1016/j.ijpe.2024.109419
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    as
    1. Chung-Chi Hsieh & Hung-Lin Chang, 2021. "Sourcing with recycled materials: a contingent sourcing model with supply unavailability and setup time uncertainty for ripple effect mitigation," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6677-6701, November.
    2. Seyed Mohammad Khalili & Fariborz Jolai & Seyed Ali Torabi, 2017. "Integrated production–distribution planning in two-echelon systems: a resilience view," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1040-1064, February.
    3. Xiongping Yue & Dong Mu & Chao Wang & Huanyu Ren & Pezhman Ghadimi, 2023. "Topological structure and COVID-19 related risk propagation in TFT-LCD supply networks," International Journal of Production Research, Taylor & Francis Journals, vol. 61(8), pages 2758-2778, April.
    4. Li, Yuhong & Zobel, Christopher W., 2020. "Exploring supply chain network resilience in the presence of the ripple effect," International Journal of Production Economics, Elsevier, vol. 228(C).
    5. Soroush Saghafian & Mark P. Van Oyen, 2016. "Compensating for Dynamic Supply Disruptions: Backup Flexibility Design," Operations Research, INFORMS, vol. 64(2), pages 390-405, April.
    6. Shi, Qing & Sun, Xiaoqi & Xu, Man & Wang, Mengjiao, 2022. "The multiplex network structure of global cobalt industry chain," Resources Policy, Elsevier, vol. 76(C).
    7. Lücker, Florian & Seifert, Ralf W., 2017. "Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity," Omega, Elsevier, vol. 73(C), pages 114-124.
    8. Torabi, S.A. & Mansouri, S.A., 2015. "Integrated business continuity and disaster recovery planning: Towards organizational resilienceAuthor-Name: Sahebjamnia, N," European Journal of Operational Research, Elsevier, vol. 242(1), pages 261-273.
    9. Dmitry Ivanov & Alexandre Dolgui, 2019. "Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5119-5136, August.
    10. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    11. Nai-Ru Xu & Jia-Bao Liu, 2015. "Research on Evaluation on Agility of Agile Supply Chain Network Based on Complex Network Theory," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, October.
    12. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    13. Garvey, Myles D. & Carnovale, Steven, 2020. "The rippled newsvendor: A new inventory framework for modeling supply chain risk severity in the presence of risk propagation," International Journal of Production Economics, Elsevier, vol. 228(C).
    14. Dmitry Ivanov, 2018. "Revealing interfaces of supply chain resilience and sustainability: a simulation study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3507-3523, May.
    15. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    16. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    17. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    18. Tulika Chakraborty & Satyaveer S. Chauhan & Mustapha Ouhimmou, 2020. "Mitigating supply disruption with a backup supplier under uncertain demand: competition vs. cooperation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(12), pages 3618-3649, June.
    19. Herrera-Restrepo, Oscar & Triantis, Konstantinos, 2019. "Enterprise design through complex adaptive systems and efficiency measurement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 481-497.
    20. Sun, Jun-yan & Tang, Jian-ming & Fu, Wei-ping & Wu, Bing-ying, 2017. "Hybrid modeling and empirical analysis of automobile supply chain network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 377-389.
    21. Ilaria Giannoccaro & Anas Iftikhar, 2022. "Mitigating ripple effect in supply networks: the effect of trust and topology on resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 60(4), pages 1178-1195, February.
    22. Masoud Kamalahmadi & Mahour Mellat-Parast, 2016. "Developing a resilient supply chain through supplier flexibility and reliability assessment," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 302-321, January.
    23. Li, Yuhong & Zobel, Christopher W. & Seref, Onur & Chatfield, Dean, 2020. "Network characteristics and supply chain resilience under conditions of risk propagation," International Journal of Production Economics, Elsevier, vol. 223(C).
    24. Jafar Namdar & Xueping Li & Rupy Sawhney & Ninad Pradhan, 2018. "Supply chain resilience for single and multiple sourcing in the presence of disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(6), pages 2339-2360, March.
    25. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Firm-level propagation of shocks through supply-chain networks," Nature Sustainability, Nature, vol. 2(9), pages 841-847, September.
    26. Nai-Ru Xu & Jia-Bao Liu & De-Xun Li & Jun Wang, 2016. "Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-9, January.
    27. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    28. Abhijeet Ghadge & Merve Er & Dmitry Ivanov & Atanu Chaudhuri, 2022. "Visualisation of ripple effect in supply chains under long-term, simultaneous disruptions: a system dynamics approach," International Journal of Production Research, Taylor & Francis Journals, vol. 60(20), pages 6173-6186, October.
    29. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    30. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic," International Journal of Production Research, Taylor & Francis Journals, vol. 60(17), pages 5258-5276, September.
    31. Sahitya Elluru & Hardik Gupta & Harpreet Kaur & Surya Prakash Singh, 2019. "Proactive and reactive models for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 199-224, December.
    32. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Samuel Fosso Wamba & David Roubaud & Cyril Foropon, 2021. "Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 110-128, January.
    33. Paul F. Skilton & Ednilson Bernardes, 2015. "Competition network structure and product market entry," Strategic Management Journal, Wiley Blackwell, vol. 36(11), pages 1688-1696, November.
    34. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    35. Mu, Dong & Ren, Huanyu & Wang, Chao & Yue, Xiongping & Du, Jianbang & Ghadimi, Pezhman, 2023. "Structural characteristics and disruption ripple effect in a meso-level electric vehicle Lithium-ion battery supply chain network," Resources Policy, Elsevier, vol. 80(C).
    36. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    37. Young Woong Park & Jennifer Blackhurst & Chinju Paul & Kevin P. Scheibe, 2022. "An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network," International Journal of Production Research, Taylor & Francis Journals, vol. 60(15), pages 4693-4711, August.
    38. Seifert, Ralf W. & Langenberg, Kerstin U., 2011. "Managing business dynamics with adaptive supply chain portfolios," European Journal of Operational Research, Elsevier, vol. 215(3), pages 551-562, December.
    39. Li, Yuhong & Chen, Kedong & Collignon, Stephane & Ivanov, Dmitry, 2021. "Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability," European Journal of Operational Research, Elsevier, vol. 291(3), pages 1117-1131.
    40. Sahebjamnia, Navid & Torabi, S. Ali & Mansouri, S. Afshin, 2018. "Building organizational resilience in the face of multiple disruptions," International Journal of Production Economics, Elsevier, vol. 197(C), pages 63-83.
    41. Wang, Jiepeng & Zhou, Hong & Jin, Xiaodan, 2021. "Risk transmission in complex supply chain network with multi-drivers," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    42. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
    43. Yue, Xiongping & Mu, Dong & Wang, Chao & Ren, Huanyu & Peng, Rui & Du, Jianbang, 2024. "Critical risks in global supply networks: A static structure and dynamic propagation perspective," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    44. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon, 2020. "On metrics for supply chain resilience," European Journal of Operational Research, Elsevier, vol. 287(1), pages 145-158.
    45. Wang, Hua & Gu, Tao & Jin, Maozhu & Zhao, Rong & Wang, Guanxiang, 2018. "The complexity measurement and evolution analysis of supply chain network under disruption risks," Chaos, Solitons & Fractals, Elsevier, vol. 116(C), pages 72-78.
    46. Dmitry Ivanov & Alexandre Dolgui, 2020. "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, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    47. Torabi, S.A. & Baghersad, M. & Mansouri, S.A., 2015. "Resilient supplier selection and order allocation under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 22-48.
    48. Wang, Chao & Huang, Xia & Hu, Xiaoqian & Zhao, Longfeng & Liu, Chao & Ghadimi, Pezhman, 2021. "Trade characteristics, competition patterns and COVID-19 related shock propagation in the global solar photovoltaic cell trade," Applied Energy, Elsevier, vol. 290(C).
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