12th Annual International Conference on Industrial Engineering and Operations Management

A systematic modelling of Industry 4.0 technologies: an ISM-based approach

Bhavesh Bhatnagar & Vijaya Dixit
Publisher: IEOM Society International
0 Paper Citations
Track: Industry 4.0


To develop supply chain resilience, industries need to adapt the industry 4.0 era technologies efficiently to predict and sustain the global supply chain. From the extensive literature review, most of the research in the industry 4.0 era talks about the applicability of individual technologies. Still, it lacks to explain the application of the industry 4.0 technology collaboratively. Based on the extensive literature review, we found that there exists a dilemma among the industries as to when which technology to be adopted and how can it be collaborated with the existing infrastructure of industry 3.0 era to drive growth in the competitive manufacturing environment and also not to burden the capital expenditure. The paper will address the managerial dilemma of adaptation of relevant Industry 4.0 technologies and at which stage. Thirty-five industry 4.0 technologies were selected based on extensive literature review and applicability in the manufacturing industry. ISM (Interpretive structural modelling) method is adopted to help us identify variables associated and systematically develop the contextual relationship between I4.0 technologies. The findings reveal the hierarchical levels of technology (longitudinal and latitudinal) such as base technologies and interaction between them and guide managers to mitigate the risk by systematically adopting industry 4.0 technologies by knowing the interaction between technologies and thus developing supply chain resilience.


Supply chain, Supply chain resilience, ISM, Industry 4.0, Industry 3.0


Published in: 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey

Publisher: IEOM Society International
Date of Conference: March 7-10, 2022

ISBN: 978-1-7923-6131-9
ISSN/E-ISSN: 2169-8767