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<p>A paradigm shift is occurring in the manufacturing sector globally due to the digitization of operations; however, studies specific to the maintenance aspect are scarce. The research presents challenges particular to the implementation of smart maintenance in Indian manufacturing SMEs, which is unique and helps bridge the gap. This research aims to identify and analyze the hierarchical interrelationship among critical barriers to smart maintenance implementation in Indian manufacturing Small to Medium-sized Enterprises (SMEs). This study involves a two-phase approach. In the first phase, the critical barriers of smart maintenance in Indian manufacturing SMEs are identified. A literature review, along with the opinions of Industrial and academic experts, resulted in the finalization of the barriers. In the second phase, the Interpretive Structural Modeling (ISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) methodologies were employed to analyze the criticality of the barriers. The driving dependence power was computed for each factor involved, which was then given as an input into the MICMAC analysis to cluster the barriers into autonomous, dependent, linkage, and independent barriers. Smart maintenance is gaining traction worldwide in the manufacturing sector, driven by the emergence and popularity of Industry 4.0. The study identifies the critical hindrances to the adoption of innovative practices specific to the maintenance function of Indian SMEs. ‘Limited Interoperability of Digital Systems’ and ‘Poor Data Quality and Fragmented Data Infrastructure’ emerged as the critical barriers with high driving power. At the same time, ‘Management Resistance and Low Strategic Priority’ and ‘Lack of Cross-functional Collaboration’ appear at the top of the ISM model with high dependence power. The overall approach of smart maintenance, as presented in this research, challenges identification and structured modelling, and is expected to help managers and policymakers concentrate their efforts based on the criticality of barriers. In turn, this will facilitate a smooth transition to smart technologies in the maintenance function of Indian manufacturing SMEs.</p>

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Assessing Critical Barriers to Smart Maintenance Implementation in Indian SMEs: ISM–MICMAC Based Structural Analysis

  • 期刊论文

  • 发表日期：

    2026年5月21日

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  • Shivagond Nagappa Teli,
  • Vinod G. Surange,
  • Deepa Parasar,
  • Akshatha Bhat,
  • Satvik S. Teli

摘要

A paradigm shift is occurring in the manufacturing sector globally due to the digitization of operations; however, studies specific to the maintenance aspect are scarce. The research presents challenges particular to the implementation of smart maintenance in Indian manufacturing SMEs, which is unique and helps bridge the gap. This research aims to identify and analyze the hierarchical interrelationship among critical barriers to smart maintenance implementation in Indian manufacturing Small to Medium-sized Enterprises (SMEs). This study involves a two-phase approach. In the first phase, the critical barriers of smart maintenance in Indian manufacturing SMEs are identified. A literature review, along with the opinions of Industrial and academic experts, resulted in the finalization of the barriers. In the second phase, the Interpretive Structural Modeling (ISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) methodologies were employed to analyze the criticality of the barriers. The driving dependence power was computed for each factor involved, which was then given as an input into the MICMAC analysis to cluster the barriers into autonomous, dependent, linkage, and independent barriers. Smart maintenance is gaining traction worldwide in the manufacturing sector, driven by the emergence and popularity of Industry 4.0. The study identifies the critical hindrances to the adoption of innovative practices specific to the maintenance function of Indian SMEs. ‘Limited Interoperability of Digital Systems’ and ‘Poor Data Quality and Fragmented Data Infrastructure’ emerged as the critical barriers with high driving power. At the same time, ‘Management Resistance and Low Strategic Priority’ and ‘Lack of Cross-functional Collaboration’ appear at the top of the ISM model with high dependence power. The overall approach of smart maintenance, as presented in this research, challenges identification and structured modelling, and is expected to help managers and policymakers concentrate their efforts based on the criticality of barriers. In turn, this will facilitate a smooth transition to smart technologies in the maintenance function of Indian manufacturing SMEs.