The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
On metrics for supply chain resilience
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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Cites
Building the Resilient Supply Chain
Christopher, M., & Peck, H. (2004) · The International Journal of Logistics Management · doi:10.1108/09574090410700275 · Cited by 3,664
A review of definitions and measures of system resilience
Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.08.006 · Cited by 1,892
Managing Risk To Avoid Supply-Chain Breakdown
Chopra, S., & Sodhi, M. S. (2004) · MIT Sloan Management Review · Cited by 1,859
ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORK
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010) · Journal of Business Logistics · doi:10.1002/j.2158-1592.2010.tb00125.x · Cited by 1,480
Robust strategies for mitigating supply chain disruptions
Tang, C. S. (2006) · International Journal of Logistics Research and Applications · doi:10.1080/13675560500405584 · Cited by 1,336
A metric and frameworks for resilience analysis of engineered and infrastructure systems
Francis, R., & Bekera, B. (2014) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2013.07.004 · Cited by 1,152
Kamalahmadi, M., & Parast, M. M. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.10.023 · Cited by 1,126
Generic metrics and quantitative approaches for system resilience as a function of time
Henry, D., & Emmanuel Ramirez-Marquez, J. (2012) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2011.09.002 · Cited by 951
Supply chain resilience: Conceptualization and scale development using dynamic capability theory
Chowdhury, M. M. H., & Quaddus, M. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.03.020 · Cited by 867
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Cited by
Strengthening supply chain resilience during COVID‐19: A case study of JD.com
Shen, Z. M., & Sun, Y. (2023) · Journal of Operations Management · doi:10.1002/joom.1161 · Cited by 371
Ivanov, D. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2021.3095193 · Cited by 336
Nandi, S., Sarkis, J., Hervani, A., & Helms, M. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-09-2020-0560 · Cited by 266
China’s lithium supply chains: Network evolution and resilience assessment
Jin, P., Wang, S., Meng, Z., & Chen, B. (2023) · Resources Policy · doi:10.1016/j.resourpol.2023.104339 · Cited by 51
Supply chain resilience: new challenges and opportunities
Shi, X., Liu, W., & Lim, M. K. (2024) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2023.2262396 · Cited by 39
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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- 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.