Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

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Predictive Maintenance for Improved Uptime in Automotive Glass Processing

Author(s) Jaskaran Singh Dhiman
Country United States
Abstract The implementation of predictive maintenance (PdM) leads to better reliability and reduced downtime and increased efficiency in automotive glass processing. The review discusses how the standard maintenance needs to be transitioned to PdM. This includes sensor integration, real-time data analytics and prediction models. The implementations show significant operational benefits like increasing the available time of machines. The paper presents strategic solutions which include phased deployment and employee training and retrofit technologies and analytics partnerships and robust cybersecurity practices. The automotive glass industry requires predictive maintenance as an essential tool to achieve sustainable manufacturing with high-quality results.
Field Engineering
Published In Volume 16, Issue 1, January-June 2025
Published On 2025-05-16
Cite This Predictive Maintenance for Improved Uptime in Automotive Glass Processing - Jaskaran Singh Dhiman - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.71097/IJAIDR.v16.i1.1423
DOI https://doi.org/10.71097/IJAIDR.v16.i1.1423
Short DOI https://doi.org/g9kc5f
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