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Ripple effect and supply chain disruption management: new trends and research directions

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  • Alexandre Dolgui
  • Dmitry Ivanov

Abstract

Ripple effect is a specific area of SC disruptions and a strong stressor to SC resilience. Research on the ripple effect analyses how one or more disruptive events propagate through the SC and impact its resilience and performance. The phenomenon of the ripple effect, immensely existing in practice, has received great research interest in recent years. Ripple effect management, modelling and assessment became visible research avenues with a growing number and scope of contributions. This Special Issue presents recent developments on the ripple effect in SCs. The Special Issue focuses on studies that address the ripple effect and provide a comprehensive picture of the state of the art and future perspectives. The methodologies comprise of mathematical optimisation, simulation, game theory, control theoretic, data-driven analytics, network complexity, reliability theory research, and empirical research. Even though a variety of valuable insights have been developed in this area in recent years, new research avenues and ripple effect taxonomies are identified for further exploring the ripple effect in the settings of the COVID-19 pandemic, SC viability, viable SC model, and reconfigurable SCs.

Suggested Citation

  • Alexandre Dolgui & Dmitry Ivanov, 2021. "Ripple effect and supply chain disruption management: new trends and research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 102-109, January.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:1:p:102-109
    DOI: 10.1080/00207543.2021.1840148
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    Cited by:

    1. Li, Siyu & Huo, Baofeng & Han, Zhaojun, 2022. "A literature review towards theories and conceptual models of empirical studies on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 250(C).
    2. Manu Sharma & Sudhanshu Joshi & Sunil Luthra & Anil Kumar, 2022. "Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains," Operations Management Research, Springer, vol. 15(1), pages 268-281, June.
    3. Rudiah Md Hanafiah & Nur Hazwani Karim & Noorul Shaiful Fitri Abdul Rahman & Saharuddin Abdul Hamid & Ahmed Maher Mohammed, 2022. "An Innovative Risk Matrix Model for Warehousing Productivity Performance," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    4. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    5. Vimal K.E.K & Simon Peter Nadeem & Mahadharsan Ravichandran & Manavalan Ethirajan & Jayakrishna Kandasamy, 2022. "Resilience strategies to recover from the cascading ripple effect in a copper supply chain through project management," Operations Management Research, Springer, vol. 15(1), pages 440-460, June.
    6. 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).
    7. Sourabh D. Kulkarni & S. G. Deshmukh & Vivek V. Khanzode & Anabela C. Alves, 2021. "Unifying Efforts to Rebound Operational Excellence and Export Competitiveness," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 1-15, December.
    8. Soheil Sohrabi & Fang Shu & Anika Gupta & Morteza Hossein Sabbaghian & Amirarsalan Mehrara Molan & Soheil Sajjadi, 2023. "Health Impacts of COVID-19 through the Changes in Mobility," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    9. Aarti Singh & Ratri Parida, 2022. "Decision-Making Models for Healthcare Supply Chain Disruptions: Review and Insights for Post-pandemic Era," International Journal of Global Business and Competitiveness, Springer, vol. 17(2), pages 130-141, December.
    10. Zhu, Xiaoyan & Cao, Yunzhi, 2021. "The optimal recovery-fund based strategy for uncertain supply chain disruptions: A risk-averse two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    11. Utama, Dana Marsetiya & Santoso, Imam & Hendrawan, Yusuf & Dania, Wike Agustin Prima, 2022. "Integrated procurement-production inventory model in supply chain: A systematic review," Operations Research Perspectives, Elsevier, vol. 9(C).
    12. Li, Guo & Xue, Jing & Li, Na & Ivanov, Dmitry, 2022. "Blockchain-supported business model design, supply chain resilience, and firm performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    13. Lai, Xinfeng & Chen, Zhixiang & Wang, Xin & Chiu, Chun-Hung, 2023. "Risk propagation and mitigation mechanisms of disruption and trade risks for a global production network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    14. Wenhan Fu & Sheng Jing & Qinming Liu & Hao Zhang, 2023. "Resilient Supply Chain Framework for Semiconductor Distribution and an Empirical Study of Demand Risk Inference," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
    15. Dastgoshade, Sohaib & Shafiee, Mohammad & Klibi, Walid & Shishebori, Davood, 2022. "Social equity-based distribution networks design for the COVID-19 vaccine," International Journal of Production Economics, Elsevier, vol. 250(C).
    16. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    17. Balan Sundarakani & Okey Peter Onyia, 2021. "Fast, furious and focused approach to Covid-19 response: an examination of the financial and business resilience of the UAE logistics industry," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 237-258, December.
    18. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    19. Chih-Hung Hsu & Xu He & Ting-Yi Zhang & An-Yuan Chang & Wan-Ling Liu & Zhi-Qiang Lin, 2022. "Enhancing Supply Chain Agility with Industry 4.0 Enablers to Mitigate Ripple Effects Based on Integrated QFD-MCDM: An Empirical Study of New Energy Materials Manufacturers," Mathematics, MDPI, vol. 10(10), pages 1-35, May.
    20. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    21. Rinaldi, Marta & Bottani, Eleonora, 2023. "How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy," International Journal of Production Economics, Elsevier, vol. 262(C).
    22. Pervaiz Akhtar & Arsalan Mujahid Ghouri & Haseeb Ur Rehman Khan & Mirza Amin ul Haq & Usama Awan & Nadia Zahoor & Zaheer Khan & Aniqa Ashraf, 2023. "Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions," Annals of Operations Research, Springer, vol. 327(2), pages 633-657, August.

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