Analysis of barriers affecting Industry 4.0 implementation: An interpretive analysis using total interpretive...

Area of Science:

• Industrial Engineering
• Operations Management
• Information Systems

Background:

• Industry 4.0 adoption faces significant implementation barriers.
• Prioritization of these barriers is crucial for effective strategic planning.
• Existing models may not fully capture the complex interrelationships between barriers.

Purpose of the Study:

• To develop a structural relationship model for analyzing and prioritizing Industry 4.0 implementation barriers.
• To apply Total Interpretive Structural Modeling (TISM) and Fuzzy MICMAC for barrier analysis.
• To identify key driving and dependent barriers influencing Industry 4.0 technology deployment.

Main Methods:

• Literature review to identify 10 crucial barriers to Industry 4.0 implementation.
• Application of Total Interpretive Structural Modeling (TISM) for structural relationship analysis.
• Utilization of Fuzzy MICMAC for barrier classification and prioritization.

Main Results:

• Identified IT infrastructure, lack of cyber-physical systems, and improper communication models as most dependent barriers.
• Identified lack of top management commitment and inadequate training as most driving barriers.
• Demonstrated the superiority of TISM over traditional Interpretive Structural Modeling (ISM).

Conclusions:

• The study provides a clear hierarchy of barriers, highlighting those requiring immediate management attention.
• Decision-makers can use the findings to implement targeted mitigation strategies for Industry 4.0 adoption.
• Detailed explanation of TISM facilitates its adoption by researchers and practitioners.