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Hybrid fuzzy-probabilistic approach to supply chain resilience assessment
Abstract
In this paper, the existing models of supply chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for supply chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the objective of including the structural properties of supply chain design into resilience assessment. A supply chain design resilience index is developed, and its computation and application are demonstrated. The results suggest a method of comparing different supply chain designs regarding the resilience both to disruption propagation and with recovery consideration. It also allows the identification of groups of critical suppliers whose failure interrupts supply chain operation.
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Citations
Cited by
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Self-citationIvanov, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1890852 · Cited by 561
Self-citationReconfigurable 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
Self-citationPerspectives on supply chain management in a pandemic and the post-COVID-19 era
Ishida, S. (2020) · IEEE Engineering Management Review · doi:10.1109/emr.2020.3016350 · Cited by 96
China’s lithium supply chains: Network evolution and resilience assessment
Jin, P., Wang, S., Meng, Z., & Chen, B. (2023) · Resources Policy · doi:10.1016/j.resourpol.2023.104339 · Cited by 51
Metadata
- Authors
- Pavlov, A., Ivanov, D., Dolgui, A., & Sokolov, B.
- Venue
- IEEE Transactions on Engineering Management
- Published
- 2018-05
- Volume
- 65
- Issue
- 2
- Pages
- 303-315
- ISSN
- 0018-9391 (ISSN-L)
- 1558-0040
- OpenAlex
- W2778876056
- Cited by
- 163
- References
- 0
- FWCI
- 30.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pavlov, A., Ivanov, D., Dolgui, A., & Sokolov, B. (2018). Hybrid fuzzy-probabilistic approach to supply chain resilience assessment. IEEE Transactions on Engineering Management. https://doi.org/10.1109/tem.2017.2773574
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