The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Methods for mitigating disruptions in complex supply chain structures: a systematic literature review
Open accessAbstract
Supply chain risk management is extremely important for the success of a company. Due to the increasing complexity of supply chains, avoiding and mitigating the effects of disruptions is very challenging. This article presents the results of a systematic literature review and content analysis in order to provide a comprehensive overview of the methods that are currently used for mitigating supply chain disruptions. The results of the review indicate that research in this field is interdisciplinary and that no common modelling language has emerged thus far. Prior research mostly redraws to graph theory and/or social network analysis, although a few methods have been developed recently specifically for supply chain risk management. We observe that prior contributions addressed risk and structure mostly separately and that only a few works focused on their intersection. The results of this review are consolidated in a research agenda that calls for research on the risk-structure-interface and the development of proxy methods.
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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
Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021) · International Journal of Production Research · doi:10.1080/00207543.2019.1582820 · Cited by 958 · cited 1×
“This is astonishing as for instance Ivanov, Dolgui, and Sokolov (2019) and Dubey et al. (2019) indicate that the present digital technologies and business analytics facilitate resilient supply chain design and recovery from disruptions.”
BackgroundSupply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Cited by
COVID-19 pandemic related supply chain studies: A systematic review
Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2021.102271 · Cited by 992
Ivanov, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1890852 · Cited by 561
Reconfigurable 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
Metadata
- Authors
- Bier, T., Lange, A., & Glock, C. H.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2019-11-22
- Volume
- 58
- Issue
- 6
- Pages
- 1835-1856
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2990169795
- Cited by
- 198
- References
- 3
- FWCI
- 5.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Bier, T., Lange, A., & Glock, C. H. (2020). Methods for mitigating disruptions in complex supply chain structures: a systematic literature review. International Journal of Production Research. https://doi.org/10.1080/00207543.2019.1687954
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.
