Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of Technological Impacts
DOI:
https://doi.org/10.3991/itdaf.v3i2.54749Keywords:
Industry 4.0, supply chain resilience, machine learning, artificial intelligence, big data analyticsAbstract
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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Copyright (c) 2025 Devesh Kumar, Gunjan Soni

This work is licensed under a Creative Commons Attribution 4.0 International License.