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Managing Disruption Risks in Supply Chains
Abstract
There are two broad categories of risk affecting supply chain design and management: (1) risks arising from the problems of coordinating supply and demand, and (2) risks arising from disruptions to normal activities. This paper is concerned with the second category of risks, which may arise from natural disasters, from strikes and economic disruptions, and from acts of purposeful agents, including terrorists. The paper provides a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains. We then consider empirical results from a rich data set covering the period 1995–2000 on accidents in the U. S. Chemical Industry. Based on these results and other literature, we discuss the implications for the design of management systems intended to cope with supply chain disruption risks.
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Cites
Agresti, A. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/0471249688 · Cited by 6,746
Cited by
Linnenluecke, M. K. (2017) · International Journal of Management Reviews · doi:10.1111/ijmr.12076 · Cited by 1,682
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
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
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
Mani, V., Gunasekaran, A., & Delgado, C. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.10.025 · Cited by 408
Metadata
- Authors
- Kleindorfer, P. R., & Saad, G. H.
- Venue
- Production and Operations Management
- Publisher
- SAGE Publications
- Published
- 2005-01-03
- Volume
- 14
- Issue
- 1
- Pages
- 53-68
- ISSN
- 1059-1478 (ISSN-L)
- 1937-5956
- OpenAlex
- W2060068786
- Cited by
- 2,088
- References
- 1
- FWCI
- 103.79
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
