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

Dmitry Ivanov (), Alexandre Dolgui () and Boris Sokolov ()
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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)

A chapter in Handbook of Ripple Effects in the Supply Chain, 2019, pp 1-33 from Springer

Abstract: 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.

Date: 2019
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/978-3-030-14302-2_1

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