Prioritizing Barriers to Industry 4.0 Adoption in Manufacturing MSMEs of Uttarakhand: A Fuzzy AHP and Sensitivity Analysis Approach

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Karan Oberoi, Dr. Ankur Mittal

Abstract

Industry 4.0 technologies offer significant opportunities for improving the competitiveness of manufacturing MSMEs, yet their adoption remains limited due to several persistent challenges. This study identifies and prioritizes the key barriers to Industry 4.0 adoption in manufacturing MSMEs using a fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach. Drawing on an extensive literature review, four main barriers and sixteen sub-barriers were identified and evaluated through expert judgments. Fuzzy AHP was applied to rank these barriers under conditions of uncertainty, and sensitivity analysis was conducted to test the stability of the ranking results. The findings show that a small number of critical barriers play a dominant role in hindering adoption, and their rankings remain largely stable across different scenarios. The study provides practical insights for MSME managers and policymakers by highlighting priority areas for intervention and supports the use of fuzzy AHP as a reliable decision-making tool for analysing complex adoption challenges.

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(1)
Karan Oberoi, Dr. Ankur Mittal. Prioritizing Barriers to Industry 4.0 Adoption in Manufacturing MSMEs of Uttarakhand: A Fuzzy AHP and Sensitivity Analysis Approach. ES 2026, 22 (1), 82-104. https://doi.org/10.69889/t4e2rf11.
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Articles

How to Cite

(1)
Karan Oberoi, Dr. Ankur Mittal. Prioritizing Barriers to Industry 4.0 Adoption in Manufacturing MSMEs of Uttarakhand: A Fuzzy AHP and Sensitivity Analysis Approach. ES 2026, 22 (1), 82-104. https://doi.org/10.69889/t4e2rf11.