Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of Technological Impacts

This study proposes a novel framework to assess the impact of Industry 4.0 (I4.0) technologies on supply chain resilience (SCRE) enhancement. Recognising the dynamic nature of technological advancements and their influence on resilient supply chain (SC), the framework employs an integrated approach. Initially, relevant I4.0 technologies were identified through literature. The I4.0 technologies are then evaluated against critical SCRE network design requirements using integrated multi-criteria decision-making (MCDM) techniques. Results highlight node criticality as a paramount factor in SCRE, while ranking artificial intelligence (AI) as the most impactful I4.0 technology, followed by autonomous vehicles (AV) and digital twin (DT). This study provides a robust and quantifiable roadmap for understanding the role of specific I4.0 technologies in bolstering SCRE.

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Publication Details

Journal
IETI Transactions on Data Analysis and Forecasting (iTDAF)
Published
2025-07-21
DOI
https://doi.org/10.3991/itdaf.v3i2.54749
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of Technological Impacts

Devesh Kumar, Gunjan Soni
1 citations
IETI Transactions on Data Analysis and Forecasting (iTDAF)
Supply Chain Resilience and Risk Management
2.23
article

Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of Technological Impacts

Devesh Kumar, Gunjan Soni
article en
1 citations

Abstract

This study proposes a novel framework to assess the impact of Industry 4.0 (I4.0) technologies on supply chain resilience (SCRE) enhancement. Recognising the dynamic nature of technological advancements and their influence on resilient supply chain (SC), the framework employs an integrated approach. Initially, relevant I4.0 technologies were identified through literature. The I4.0 technologies are then evaluated against critical SCRE network design requirements using integrated multi-criteria decision-making (MCDM) techniques. Results highlight node criticality as a paramount factor in SCRE, while ranking artificial intelligence (AI) as the most impactful I4.0 technology, followed by autonomous vehicles (AV) and digital twin (DT). This study provides a robust and quantifiable roadmap for understanding the role of specific I4.0 technologies in bolstering SCRE.

IETI Transactions on Data Analysis and Forecasting (iTDAF)Vol. 3(2)
Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 10%
Supply Chain Resilience and Risk Management
2.23
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