Enhancing supply chain antifragility in the face of uncertainty: an AI-driven approach in a circular intuitionistic fuzzy environment

Today’s world faces numerous and complex challenges, including natural disasters, pandemics and geopolitical instability, which expose organizations to unprecedented levels of uncertainty and pressure. This article examines the antifragility concept as an approach to enhance supply chain resilience against such shocks. Using AI-driven approaches within a circular intuitionistic fuzzy framework, practical solutions for implementing antifragility in supply chains under uncertainty conditions are presented.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.065
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing supply chain antifragility in the face of uncertainty: an AI-driven approach in a circular intuitionistic fuzzy environment

Josefa Mula, Morteza Yazdani, Manuel Díaz‐Madroñero, Moslem Alimohammadlou
IFAC-PapersOnLine
Supply Chain Resilience and Risk Management
article

Enhancing supply chain antifragility in the face of uncertainty: an AI-driven approach in a circular intuitionistic fuzzy environment

Josefa Mula, Morteza Yazdani, Manuel Díaz‐Madroñero, Moslem Alimohammadlou
article en

Abstract

Today’s world faces numerous and complex challenges, including natural disasters, pandemics and geopolitical instability, which expose organizations to unprecedented levels of uncertainty and pressure. This article examines the antifragility concept as an approach to enhance supply chain resilience against such shocks. Using AI-driven approaches within a circular intuitionistic fuzzy framework, practical solutions for implementing antifragility in supply chains under uncertainty conditions are presented.

IFAC-PapersOnLineVol. 59(10)
Valencian International University (ES), Universitat Politècnica de València (ES)
Openalex Percentile: Top 61%
Supply Chain Resilience and Risk Management
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