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Cited by 895

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Ripple effect in the supply chain: an analysis and recent literature

Dolgui, Alexandre, Ivanov, Dmitry, Sokolov, Boris·2018·International Journal of Production Research
DOI 10.1080/00207543.2017.1387680
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Abstract

In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in supply chain structural design and planning parameters. We delineate major features of the ripple effect as compared to the bullwhip effect. Subsequently, we review recent quantitative literature that tackled the ripple effect explicitly or implicitly and give our vision of the state of the art and perspectives. The literature is classified into mathematical optimisation, simulation, control theoretic and complexity and reliability research. We observe the reasons and mitigation strategies for the ripple effect in the supply chain and present the ripple effect control framework that includes redundancy, flexibility and resilience analysis. Even though a variety of valuable insights has been developed in the said area in recent years, some crucial research avenues have been identified for the near future.

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Metadata

Authors
Dolgui, A., Ivanov, D., & Sokolov, B.
Venue
International Journal of Production Research
Publisher
Informa UK Limited
Published
2017-10-18
Volume
56
Issue
1-2
Pages
414-430
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
DOI
10.1080/00207543.2017.1387680
OpenAlex
W2765992545
Cited by
895
References
58
FWCI
107.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ripple effect in the supply chain: an analysis and recent literature. https://app.cochat.ai/papers/10.1080/00207543.2017.1387680
The paper
Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research. https://doi.org/10.1080/00207543.2017.1387680

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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