A Critical Review of Proactive Maintenance Strategies for Smart Factories in Industry 5.0

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Authors: Udit Mamodiya, Hemant K. Upadhyay
Cited by: 0

Abstract

Smart manufacturing is getting the focus area of production experts and researchers. Modern production systems have now become much more costly and sophisticated in the present era of smart factories. Proactive maintenance strategies like predictive maintenance and condition monitoring are leading to the building of efficient intelligent industries in Industry 5.0. The capability for forecasting maintenance requirements is the prime challenge in Industry 5.0. The application of proactive maintenance strategies like predictive maintenance and condition monitoring leads to reducing expenses and machine downtime, achieving better control and better product quality. Predictive maintenance with the use of emerging techniques like the industrial internet of things in smart production may be utilized for the prevention of equipment failures and the reduction of downtime to subsequently enhance the machines’ lifespan. The aim of this work is to present a critical review of the relevant literature on the role of proactive maintenance strategies like predictive maintenance and condition monitoring in smart factories in Industry 5.0. The impact of emerging technologies in predictive maintenance and condition monitoring for smart factories is reviewed with the possible issues in transforming into smart production considering future projections. The presented work reviews and analyzes a large number of scientific articles with the methodologies applied in the efficacy of condition monitoring and predictive maintenance in intelligent production systems. The presented work has a deep discussion that elaborates on the development of smart production with a critical analysis of conventional production systems. The deficiencies in traditional factory systems have been highlighted with an understanding of the technologies associated with intelligent manufacturing systems. Further, the influences of intelligent manufacturing systems are explained along with the barriers in execution, advantages, and future scope in Industry 5.0. Potential research expertise in the realm of Industry 5.0 has been presented as a conclusion.

Fields of Study & Subjects

Digital Transformation in Industry Reliability and Maintenance Optimization Machine Fault Diagnosis Techniques

Publication details

Journal / source
Auerbach Publications eBooks
Pages
111–125
Publication date
2 February 2026
Language
EN
Document type
Book chapter