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Cited by 1,015

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Supply chain risk management and artificial intelligence: state of the art and future research directions

Open access
Baryannis, George, Validi, Sahar, Dani, Samir, Antoniou, Grigoris·2019·International Journal of Production Research
DOI 10.1080/00207543.2018.1530476
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Abstract

Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part of a supply chain. SCRM strategies often depend on rapid and adaptive decision-making based on potentially large, multidimensional data sources. These characteristics make SCRM a suitable application area for artificial intelligence (AI) techniques. The aim of this paper is to provide a comprehensive review of supply chain literature that addresses problems relevant to SCRM using approaches that fall within the AI spectrum. To that end, an investigation is conducted on the various definitions and classifications of supply chain risk and related notions such as uncertainty. Then, a mapping study is performed to categorise existing literature according to the AI methodology used, ranging from mathematical programming to Machine Learning and Big Data Analytics, and the specific SCRM task they address (identification, assessment or response). Finally, a comprehensive analysis of each category is provided to identify missing aspects and unexplored areas and propose directions for future research at the confluence of SCRM and AI.

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Metadata

Authors
Baryannis, G., Validi, S., Dani, S., & Antoniou, G.
Venue
International Journal of Production Research
Publisher
Informa UK Limited
Published
2018-10-06
Volume
57
Issue
7
Pages
2179-2202
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
DOI
10.1080/00207543.2018.1530476
OpenAlex
W2893740026
Cited by
1,015
References
89
FWCI
78.35
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Supply chain risk management and artificial intelligence: state of the art and future research directions. https://app.cochat.ai/papers/10.1080/00207543.2018.1530476
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Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research. https://doi.org/10.1080/00207543.2018.1530476

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