Ms. Mili Saxena
Management
May 2025
Due to advances in digital technology, manufacturing is changing fast and predictive maintenance (PdM) is now important for both decreasing faults and making workflows run more efficiently. The research studied how Machine Learning (ML) is used in the preventive maintenance practices of Indian manufacturing industries. The study’s aim is to assess how ML-based PdM improves operations, reduces unexpected shutdowns and gives better returns while also determining what infrastructure and workforce are needed for a successful deployment. Secondary data review, expert consultations and regression and moderation statistical testing on SPSS were combined to conduct the study. Firms that use ML-based PdM noticed downtime drop by up to 72% and many industries, including automotive, pharmaceuticals and electronics, gained a return on investment exceeding 160% and were more efficient. Analysis showed that for PdM to succeed, advanced digital infrastructure and skilled people were critical. According to the study, ML-based PdM helps Indian manufacturing companies become more sustainable and competitive as it is also a novel introduction in the industry. Thanks to these findings, policy makers and industrial leaders can now take steps to boost the use of data-driven maintenance to help with digital transformation and resilience.
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© Airo Journals 2021
