The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Review of quantitative methods for supply chain resilience analysis
Open accessAbstract
Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt, and recover from disruptions to meet customer demand and ensure performance. This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity. Decision-makers and researchers can benefit from our survey since it introduces a structured analysis and recommendations as to which quantitative methods can be used at different levels of capacity resilience. Finally, the gaps and limitations of existing SCR literature are identified and future research opportunities are suggested.
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Citations
Cites
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Self-citationA 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
Self-citationDesigning Resilient, Sustainable Systems
Fiksel, J. (2003) · Environmental Science & Technology · doi:10.1021/es0344819 · Cited by 831
Cited by
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Self-citationIvanov, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1890852 · Cited by 561
Self-citationReconfigurable supply chain: the X-network
Dolgui, A., Ivanov, D., & Sokolov, B. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1774679 · Cited by 501
Self-citationIntelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability
Ivanov, D. (2023) · International Journal of Production Economics · doi:10.1016/j.ijpe.2023.108938 · Cited by 270
Self-citationSupply 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
- Hosseini, S., Ivanov, D., & Dolgui, A.
- Venue
- Transportation Research Part E: Logistics and Transportation Review
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 125
- Pages
- 285-307
- ISSN
- 1366-5545 (ISSN-L)
- OpenAlex
- W2927511117
- Cited by
- 1,275
- References
- 3
- FWCI
- 194.71
- Type
- journal article
- Language
- en
- Open access
- green
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- Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2019.03.001
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.
