Leveraging large language models to enhance multi-agent risk assessment in supply chain networks

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Publication Details

Journal
International Journal of Production Research
Published
2026-02-09
DOI
https://doi.org/10.1080/00207543.2026.2619562
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging large language models to enhance multi-agent risk assessment in supply chain networks

Benoît Montreuil, Zefang Liu, Yinzhu Quan
International Journal of Production Research
Supply Chain Resilience and Risk Management
article

Leveraging large language models to enhance multi-agent risk assessment in supply chain networks

Benoît Montreuil, Zefang Liu, Yinzhu Quan
article en

Abstract

No abstract available for this paper.
International Journal of Production Research
Georgia Institute of Technology (US), IMT Mines Albi (FR)
Openalex Percentile: Top 63%
Supply Chain Resilience and Risk Management
DOIOpen Access PDFOpenAlex
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Leveraging large language models to enhance multi-agent risk assessment in supply chain networks — Benoît Montreuil, Zefang Liu, et al. · International Journal of Production Research (2026) | TGRS Research Map | TGRS