The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The importance of decoupling recurrent and disruption risks in a supply chain
Abstract
This paper focuses on the importance of decoupling recurrent supply risk and disruption risk when planning appropriate mitigation strategies. We show that bundling the two uncertainties leads a manager to underutilize a reliable source while over utilizing a cheaper but less reliable supplier. As in Dada et al. (working paper, University of Illinois, Champaign, IL, 2003), we show that increasing quantity from a cheaper but less reliable source is an effective risk mitigation strategy if most of the supply risk growth comes from an increase in recurrent uncertainty. In contrast, we show that a firm should order more from a reliable source and less from a cheaper but less reliable source if most of the supply risk growth comes from an increase in disruption probability. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007
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Citations
Cites
Managing Disruption Risks in Supply Chains
Kleindorfer, P. R., & Saad, G. H. (2005) · Production and Operations Management · doi:10.1111/j.1937-5956.2005.tb00009.x · Cited by 2,088
Managing Risk To Avoid Supply-Chain Breakdown
Chopra, S., & Sodhi, M. S. (2004) · MIT Sloan Management Review · Cited by 1,859
Self-citationOn the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks
Tomlin, B. (2006) · Management Science · doi:10.1287/mnsc.1060.0515 · Cited by 1,700
Mitigating supply chain risk through improved confidence
Christopher, M., & Lee, H. (2004) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030410545436 · Cited by 1,249
Lot Sizing with Random Yields: A Review
Yano, C. A., & Lee, H. L. (1995) · Operations Research · doi:10.1287/opre.43.2.311 · Cited by 941
Supply Chain Management under the Threat of International Terrorism
Sheffi, Y. (2001) · The International Journal of Logistics Management · doi:10.1108/09574090110806262 · Cited by 742
An analysis of supply risk assessment techniques
Zsidisin, G. A., Ellram, L. M., Carter, J. R., & Cavinato, J. L. (2004) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600030410545445 · Cited by 557
Supply chain coordination with demand disruptions
Qi, X., Bard, J. F., & Yu, G. (2004) · Omega · doi:10.1016/j.omega.2003.12.002 · Cited by 386
Mitroff, I. I., & Alpaslan, M. C. (2003) · PubMed · Cited by 294
Optimal Inventory Under Stochastic Demand with Two Supply Options
Whittemore, A. S., & Saunders, S. C. (1977) · SIAM Journal on Applied Mathematics · doi:10.1137/0132023 · Cited by 225
Cited by
Supply chain risk management: a literature review
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1030467 · Cited by 1,363
El Baz, J., & Ruel, S. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107972 · Cited by 868
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
Supply 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
Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013) · European Journal of Operational Research · doi:10.1016/j.ejor.2012.12.017 · Cited by 434
Metadata
- Authors
- Chopra, S., Reinhardt, G., & Mohan, U.
- Venue
- Naval Research Logistics (NRL)
- Publisher
- Wiley
- Published
- 2007-03-22
- Volume
- 54
- Issue
- 5
- Pages
- 544-555
- ISSN
- 0894-069X (ISSN-L)
- 1520-6750
- OpenAlex
- W2026464058
- Cited by
- 318
- References
- 14
- FWCI
- 16.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
