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Cited by 384

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

Belhadi, Amine, Kamble, Sachin, Fosso Wamba, Samuel, Queiroz, Maciel M.·2022·International Journal of Production Research
DOI 10.1080/00207543.2021.1950935
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Abstract

Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient supply chains. However, the literature is highly dispersed regarding the application of AI in supply-chain management. The literature to date lacks a decision-making framework for identifying and applying powerful AI techniques to build supply-chain resilience (SCRes), curbing advances in research and practice on this interesting interface. In this paper, we propose an integrated Multi-criteria decision-making (MCDM) technique powered by AI-based algorithms such as Fuzzy systems, Wavelet Neural Networks (WNN) and Evaluation based on Distance from Average Solution (EDAS) to identify patterns in AI techniques for developing different SCRes strategies. The analysis was informed by data collected from 479 manufacturing companies to determine the most significant AI applications used for SCRes. The findings show that fuzzy logic programming, machine learning big data, and agent-based systems are the most promising techniques used to promote SCRes strategies. The study findings support decision-makers by providing an integrated decision-making framework to guide practitioners in AI deployment for building SCRes.

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Metadata

Authors
Belhadi, A., Kamble, S., Fosso Wamba, S., & Queiroz, M. M.
Venue
International Journal of Production Research
Publisher
Informa UK Limited
Published
2021-07-13
Volume
60
Issue
14
Pages
4487-4507
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
DOI
10.1080/00207543.2021.1950935
OpenAlex
W3183119561
Cited by
384
References
63
FWCI
38.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. https://app.cochat.ai/papers/10.1080/00207543.2021.1950935
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Belhadi, A., Kamble, S., Fosso Wamba, S., & Queiroz, M. M. (2022). Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. International Journal of Production Research. https://doi.org/10.1080/00207543.2021.1950935

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.