The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Supply chain risk management and its mitigation in a food industry
Abstract
We create a model which analyses the various risks involved in a food supply chain with the help of interpretive structural modelling (ISM). The various types of risks were identified based on a review of the literature and in consultation with experts in the food industry. The types of risks are clustered into five categories and risk mitigation is discussed. The model developed is validated with the help of a case study involving a food products manufacturing firm.
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Citations
Cites
Yin, R. K. (2009). Case study research: Design and methods (4th Ed.). Thousand Oaks, CA: Sage.
Aberdeen, T. (2013) · The Canadian Journal of Action Research · doi:10.33524/cjar.v14i1.73 · Cited by 3,250
Cited by
Krishnan, R., Agarwal, R., Bajada, C., & Arshinder, K. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118374 · Cited by 268
Metadata
- Authors
- Diabat, A., Govindan, K., & Panicker, V. V.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2012-06
- Volume
- 50
- Issue
- 11
- Pages
- 3039-3050
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2170770732
- Cited by
- 302
- References
- 1
- FWCI
- 31.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Diabat, A., Govindan, K., & Panicker, V. V. (2012). Supply chain risk management and its mitigation in a food industry. International Journal of Production Research. https://doi.org/10.1080/00207543.2011.588619
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.
