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Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives

In: Handbook of Ripple Effects in the Supply Chain

Author

Listed:
  • Dmitry Ivanov

    (Department of Business and Economics)

  • Alexandre Dolgui

    (IMT Atlantique, LS2N, CNRS)

  • Boris Sokolov

    (Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS))

Abstract

This chapter aims at delineating major features of the ripple effect and methodologies to mitigate the supply chain disruptions and recover in case of severe disruptions. It observes the reasons and mitigation strategies for the ripple effect in the supply chain and presents the ripple effect control framework that is comprised of redundancy, flexibility and resilience. Even though a variety of valuable insights has been developed in the given area in recent years, new research avenues and ripple effect taxonomies are identified for the near future. Two special directions are highlighted. The first direction is the supply chain risk analytics for disruption risks and the data-driven ripple effect control in supply chains. The second direction is the concept of low-certainty-need (LCN) supply chains.

Suggested Citation

  • Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives," International Series in Operations Research & Management Science, in: Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov (ed.), Handbook of Ripple Effects in the Supply Chain, pages 1-33, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-14302-2_1
    DOI: 10.1007/978-3-030-14302-2_1
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    Cited by:

    1. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Alam, Md Fahim Bin & Tushar, Saifur Rahman & Ahmed, Tazim & Karmaker, Chitra Lekha & Bari, A.B.M. Mainul & de Jesus Pacheco, Diego Augusto & Nayyar, Anand & Islam, Abu Reza Md Towfiqul, 2024. "Analysis of the enablers to deal with the ripple effect in food grain supply chains under disruption: Implications for food security and sustainability," International Journal of Production Economics, Elsevier, vol. 270(C).
    3. Strotmann, Christina & Baur, Vanessa & Börnert, Nora & Gerwin, Paula, 2022. "Generation and prevention of food waste in the German food service sector in the COVID-19 pandemic – Digital approaches to encounter the pandemic related crisis," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    4. María Arquer & Borja Ponte & Raúl Pino, 2022. "Examining the balance between efficiency and resilience in closed-loop supply chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1307-1336, December.
    5. Ozdemir, Dilek & Sharma, Mahak & Dhir, Amandeep & Daim, Tugrul, 2022. "Supply chain resilience during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 68(C).
    6. Gholami-Zanjani, Seyed Mohammad & Klibi, Walid & Jabalameli, Mohammad Saeed & Pishvaee, Mir Saman, 2021. "The design of resilient food supply chain networks prone to epidemic disruptions," International Journal of Production Economics, Elsevier, vol. 233(C).

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