The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Resilient and sustainable supply chain design: sustainability analysis under disruption risks
Abstract
Resilience to disruptions and sustainability are both of paramount importance to supply chains. However, the interactions between the two have not been thoroughly explored in the academic literature. We attempt to contribute to this area by presenting a hybrid methodology for the design of a sustainable supply network that performs resiliently in the face of random disruptions. A stochastic bi-objective optimisation model is developed that utilises a fuzzy c-means clustering method to quantify and assess the sustainability performance of the suppliers. The proposed model determines outsourcing decisions and resilience strategies that minimise the expected total cost and maximise the overall sustainability performance in disruptions. Important managerial insights and practical implications are obtained from the model implementation in a case study of plastic pipe industry.
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Cites
FCM: The fuzzy c-means clustering algorithm
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Introduction to Stochastic Programming
Birge, J. R., & Louveaux, F. (2011) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/978-1-4614-0237-4 · Cited by 6,469
From a literature review to a conceptual framework for sustainable supply chain management
Seuring, S., & Müller, M. (2008) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2008.04.020 · Cited by 6,341
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
African Journal of Business Management
(2026) · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · doi:10.5897/ajbm · Cited by 4,207
Green supply-chain management: a state-of-the-art literature review
Srivastava, S. K. (2007) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2007.00202.x · Cited by 3,984
Building the Resilient Supply Chain
Christopher, M., & Peck, H. (2004) · The International Journal of Logistics Management · doi:10.1108/09574090410700275 · Cited by 3,664
(2002) · Journal of Cleaner Production · doi:10.1016/s0959-6526(02)00002-1 · Cited by 3,002
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Green supply chain management: A review and bibliometric analysis
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Cited by
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1530476 · Cited by 1,015
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
Miceli, A., Hagen, B., Riccardi, M. P., Sotti, F., & Settembre-Blundo, D. (2021) · Sustainability · doi:10.3390/su13042052 · Cited by 319
Salamai, A., Hussain, O. K., Saberi, M., Chang, E., & Hussain, F. K. (2019) · IEEE Access · doi:10.1109/access.2019.2902191 · Cited by 44
Supply chain resilience: new challenges and opportunities
Shi, X., Liu, W., & Lim, M. K. (2024) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2023.2262396 · Cited by 39
Metadata
- Authors
- Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2018-05-04
- Volume
- 56
- Issue
- 17
- Pages
- 5945-5968
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2801104403
- Cited by
- 401
- References
- 90
- FWCI
- 54.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jabbarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research. https://doi.org/10.1080/00207543.2018.1461950
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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.
