The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Robust strategies for mitigating supply chain disruptions
Open accessAbstract
When major disruptions occur, many supply chains tend to break down and take a long time to recover. However, not only can some supply chains continue to function smoothly, they also continue to satisfy their customers before and after a major disruption. Some key differentiators of these supply chains are cost-effective and time-efficient strategies. In this paper, certain “robust” strategies are presented that possess two properties. First, these strategies will enable a supply chain to manage the inherent fluctuations efficiently regardless of the occurrence of major disruptions. Second, these strategies will make a supply chain become more resilient in the face of major disruptions. While there are costs for implementing these strategies, they provide additional selling points for acquiring and retaining apprehensive customers before and after a major disruption.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Theory and Practice of Revenue Management
Talluri, K. T., & Van Ryzin, G. J. (2004) · International Series in Operations Research & Management Science · doi:10.1007/b139000 · Cited by 2,243
Cited by
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
OR/MS models for supply chain disruptions: a review
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016) · IIE Transactions · doi:10.1080/0740817x.2015.1067735 · Cited by 854
Pal, R., Torstensson, H., & Mattila, H. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2013.02.031 · Cited by 589
Lohmer, J., Bugert, N., & Lasch, R. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107882 · Cited by 404
Achieving supply chain resilience: The role of procurement
Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014) · Supply Chain Management: An International Journal · doi:10.1108/scm-09-2013-0346 · Cited by 396
Metadata
- Authors
- Tang, C. S.
- Venue
- International Journal of Logistics Research and Applications
- Publisher
- Informa UK Limited
- Published
- 2006-03
- Volume
- 9
- Issue
- 1
- Pages
- 33-45
- ISSN
- 1367-5567 (ISSN-L)
- 1469-848X
- OpenAlex
- W2031384163
- Cited by
- 1,336
- References
- 1
- FWCI
- 53.56
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Robust strategies for mitigating supply chain disruptions. https://app.cochat.ai/papers/10.1080/13675560500405584
- The paper
- Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675560500405584
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.