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Cited by 267

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On metrics for supply chain resilience

Behzadi, Golnar, O’Sullivan, Michael Justin, Olsen, Tava Lennon·2020·European Journal of Operational Research

Abstract

Abstract Resilience, defined as the ability to recover quickly and effectively from a disruption, is critically important for supply chains. Yet, it has not been quantified as frequently as supply chain robustness. In this paper we review the existing metrics for supply chain resilience and introduce a new metric, titled the net present value of the loss of profit (NPV-LP). We test these metrics on a small supply chain problem consisting of one supply and one demand node for a perishable good over a multi-period horizon with a possible port shut-down. We use a stochastic programming formulation of the problem. We show how the different metrics cause different investment decisions for the supply chain, and hence why it is important to carefully pick the correct metric when modeling supply chain resilience.

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Metadata

Authors
Behzadi, G., O’Sullivan, M. J., & Olsen, T. L.
Venue
European Journal of Operational Research
Publisher
Elsevier BV
Published
2020-11
Volume
287
Issue
1
Pages
145-158
ISSN
0377-2217 (ISSN-L)
OpenAlex
W3022522421
Cited by
267
References
31
FWCI
25.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On metrics for supply chain resilience. https://app.cochat.ai/papers/10.1016/j.ejor.2020.04.040
The paper
Behzadi, G., O’Sullivan, M. J., & Olsen, T. L. (2020). On metrics for supply chain resilience. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.04.040

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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.