2nd Indian International Conference on Industrial Engineering and Operations Management

Analysis of Barriers to the Implementation of Industry 4.0 in SMEs of India Using A.H.P, Fuzzy-ISM & MICMAC Approach

KOTNI PAVAN, Anish Sachdeva & Vinay Sharma
Publisher: IEOM Society International
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Track: Industry 4.0
Abstract

In the present scenario, industries are trying to increase their productivity and it is easily acquired with the execution of Industry4.0 (I4.0) technologies in industries. Not only the productivity but also the smooth flow of supply chain in industries etc. Even though there are several fruitful advantages, there is still a lack in the execution of I4.0 mainly in small and medium-sized industries of different sectors. Certain hindrances are the root cause of this dearth in industries. A few papers trying to figure out the same issue but it has been found some of the barriers are missing in their analysis and the ranking of barriers is not focused on. Consequently, the primary theme of the research is to find the barriers by reviewing several research papers and ranking them by collecting data with the help of different experts through questionnaires for pair-wise comparison matrix, working in SMEs. The Analytical Hierarchy Process technique has been used to rank the barriers and find the relative importance. In this study, it has been found that 21 barriers are responsible for creating hindrances to the execution of I4.0 technologies in SMEs. Out of the 21 barriers, 12 important barriers are selected through A.H.P for further analysis. After choosing the twelve barriers, it is necessary to explore their interactions and identify the ones that have the most influence over the others. This is achieved by the Fuzzy-Interpretive Structural Modelling Approach and MICMAC analysis of Industry 4.0.

Published in: 2nd Indian International Conference on Industrial Engineering and Operations Management, Warangal, India

Publisher: IEOM Society International
Date of Conference: August 16-18, 2022

ISBN: 978-1-7923-9160-6
ISSN/E-ISSN: 2169-8767