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Cited by 854

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

OR/MS models for supply chain disruptions: a review

Open access
Snyder, Lawrence V., Atan, Zümbül, Peng, Peng, Rong, Ying, Schmitt, Amanda J., Sinsoysal, Burcu·2016·IIE Transactions

Abstract

We review the OR/MS literature on supply chain disruptions in order to take stock of the research to date and to provide an overview of the research questions that have been addressed. We first place disruptions in the context of other forms of supply uncertainty and discuss common modeling approaches. We then discuss nearly 150 scholarly works on the topic, organized into six categories: evaluating supply disruptions; strategic decisions; sourcing decisions; contracts and incentives; inventory; and facility location. We conclude with a discussion of future research directions.

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Crossref · 10.1080/0740817x.2015.1067735

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Metadata

Authors
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B.
Venue
IIE Transactions
Published
2015-12-15
Volume
48
Issue
2
Pages
89-109
ISSN
  • 0740-817X (ISSN-L)
  • 1545-8830
OpenAlex
W3121568017
Cited by
854
References
79
FWCI
195.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: OR/MS models for supply chain disruptions: a review. https://app.cochat.ai/papers/10.1080/0740817x.2015.1067735
The paper
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016). OR/MS models for supply chain disruptions: a review. IIE Transactions. https://doi.org/10.1080/0740817x.2015.1067735

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.