The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain
Open accessAbstract
Firms are exposed to a variety of low-probability, high-impact risks that can disrupt their operations and supply chains. These risks are difficult to predict and quantify; therefore, they are difficult to manage. As a result, managers may suboptimally deploy countermeasures, leaving their firms exposed to some risks, while wasting resources to mitigate other risks that would not cause significant damage. In a three-year research engagement with Ford Motor Company, we addressed this practical need by developing a novel risk-exposure model that assesses the impact of a disruption originating anywhere in a firm’s supply chain. Our approach defers the need for a company to estimate the probability associated with any specific disruption risk until after it has learned the effect such a disruption will have on its operations. As a result, the company can make more informed decisions about where to focus its limited risk-management resources. We demonstrate how Ford applied this model to identify previously unrecognized risk exposures, evaluate predisruption risk-mitigation actions, and develop optimal postdisruption contingency plans, including circumstances in which the duration of the disruption is unknown.
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Cited by
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Ripple effect in the supply chain: an analysis and recent literature
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Ivanov, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1890852 · Cited by 561
Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.004 · Cited by 527
Revealing interfaces of supply chain resilience and sustainability: a simulation study
Ivanov, D. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1343507 · Cited by 451
Metadata
- Authors
- Simchi-Levi, D., Schmidt, W., Wei, Y., Zhang, P. Y., Combs, K., Ge, Y., Gusikhin, O., Sanders, M., & Zhang, D.
- Venue
- Interfaces
- Published
- 2015-10
- Volume
- 45
- Issue
- 5
- Pages
- 375-390
- ISSN
- 0092-2102 (ISSN-L)
- 1526-551X
- OpenAlex
- W1815823489
- Cited by
- 352
- References
- 27
- FWCI
- 45.86
- Type
- journal article
- Language
- en
- Open access
- green
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