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

Authors

  • Devesh Kumar Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan, India https://orcid.org/0000-0002-4888-5173
  • Gunjan Soni Malaviya National Institute of Technology Jaipur, Jaipur, Rajasthan, India

DOI:

https://doi.org/10.3991/itdaf.v3i2.54749

Keywords:

Industry 4.0, supply chain resilience, machine learning, artificial intelligence, big data analytics

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.

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Published

2025-07-21

How to Cite

Kumar, D., & Soni, G. (2025). Industry 4.0 and Supply Chain Resilience: A Comprehensive Analysis of Technological Impacts. IETI Transactions on Data Analysis and Forecasting (iTDAF), 3(2), pp. 33–49. https://doi.org/10.3991/itdaf.v3i2.54749

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Section

Papers