Hybrid AI and Multi-Criteria Decision-Making for Predicting and Managing Supply Chain Disruptions: A Systematic Literature Review

Paper presented at the Yorkshire Innovation in Science and Engineering Conference 2026, awarded 2nd Place for the Best Paper Award.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-25
DOI
https://doi.org/10.5281/zenodo.20850860
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Hybrid AI and Multi-Criteria Decision-Making for Predicting and Managing Supply Chain Disruptions: A Systematic Literature Review

Arooj zahra, George Baryannis
Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

Hybrid AI and Multi-Criteria Decision-Making for Predicting and Managing Supply Chain Disruptions: A Systematic Literature Review

Arooj zahra, George Baryannis
article en

Abstract

Paper presented at the Yorkshire Innovation in Science and Engineering Conference 2026, awarded 2nd Place for the Best Paper Award.

Zenodo (CERN European Organization for Nuclear Research)
University of Huddersfield (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Supply Chain Resilience and Risk Management
DOIOpen Access PDFOpenAlex
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Hybrid AI and Multi-Criteria Decision-Making for Predicting and Managing Supply Chain Disruptions: A Systematic Literature Review — Arooj zahra, George Baryannis · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS