Prioritizing food supply chain disruptions and mitigation strategies in the UAE: An integrated fuzzy multi-criteria decision framework

Tariq Al Juneidi; Shahid Ahmad Bhat; Youssef Boulaksil

doi:10.1016/j.pes.2025.100069

Prioritizing food supply chain disruptions and mitigation strategies in the UAE: An integrated fuzzy multi-criteria decision framework

Tariq Al Juneidi, Shahid Ahmad Bhat, Youssef Boulaksil

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The COVID-19 pandemic and the Russo-Ukrainian conflict have severely impacted global food supply chains (FSCs), posing significant risks for food-import-dependent economies like the UAE. This study develops an integrated fuzzy Multi-Criteria Decision-Making (MCDM) framework combining the Fuzzy Delphi (FD) method and the Fuzzy Analytic Hierarchy Process (FAHP) to systematically identify, prioritize, and mitigate FSC disruptions. Our results highlight transportation and logistics failures as the most severe disruptions, while digitalization and Industry 4.0 technologies emerge as the most effective mitigation strategies.

Original language	English
Article number	100069
Journal	Progress in Engineering Science
Volume	2
Issue number	2
DOIs	https://doi.org/10.1016/j.pes.2025.100069
Publication status	Published - Jun 2025
Externally published	Yes

Keywords

COVID-19 pandemic
Disruptions and mitigation techniques
Food supply chain management
Fuzzy AHP
Fuzzy Delphi method

ASJC Scopus subject areas

Engineering (miscellaneous)
Civil and Structural Engineering
Mechanical Engineering
Building and Construction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.pes.2025.100069

Cite this

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title = "Prioritizing food supply chain disruptions and mitigation strategies in the UAE: An integrated fuzzy multi-criteria decision framework",

abstract = "The COVID-19 pandemic and the Russo-Ukrainian conflict have severely impacted global food supply chains (FSCs), posing significant risks for food-import-dependent economies like the UAE. This study develops an integrated fuzzy Multi-Criteria Decision-Making (MCDM) framework combining the Fuzzy Delphi (FD) method and the Fuzzy Analytic Hierarchy Process (FAHP) to systematically identify, prioritize, and mitigate FSC disruptions. Our results highlight transportation and logistics failures as the most severe disruptions, while digitalization and Industry 4.0 technologies emerge as the most effective mitigation strategies.",

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AB - The COVID-19 pandemic and the Russo-Ukrainian conflict have severely impacted global food supply chains (FSCs), posing significant risks for food-import-dependent economies like the UAE. This study develops an integrated fuzzy Multi-Criteria Decision-Making (MCDM) framework combining the Fuzzy Delphi (FD) method and the Fuzzy Analytic Hierarchy Process (FAHP) to systematically identify, prioritize, and mitigate FSC disruptions. Our results highlight transportation and logistics failures as the most severe disruptions, while digitalization and Industry 4.0 technologies emerge as the most effective mitigation strategies.

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KW - Fuzzy AHP

KW - Fuzzy Delphi method

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Prioritizing food supply chain disruptions and mitigation strategies in the UAE: An integrated fuzzy multi-criteria decision framework

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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