Role of Predictive Maintenance in Enhancing Pharmaceutical Production Line Efficiency

DOI: https://doi.org/10.63345/ijrmp.org.v10.i5.4

Snehal Roy

Ranchi, Jharkhand, India

Abstract

Pharmaceutical manufacturing is a high-stakes industry where uninterrupted production, product quality, and compliance with regulatory standards are critical. This manuscript investigates the role of predictive maintenance (PdM) in enhancing production line efficiency within the pharmaceutical sector. By integrating sensor data, statistical models, and machine learning techniques, predictive maintenance offers the opportunity to foresee equipment malfunctions and reduce unplanned downtimes. This study presents a detailed review of literature up to 2020, statistical analyses based on production and maintenance records, and a case study on a typical production line. Results indicate that a proactive maintenance strategy can significantly reduce downtime, lower operational costs, and improve overall equipment effectiveness (OEE). The manuscript concludes with recommendations for implementation and outlines future research directions in the evolving landscape of digital manufacturing and Industry 4.0.

Keywords

Predictive Maintenance, Pharmaceutical Production, Equipment Efficiency, Downtime Reduction, Industry 4.0, Data Analytics

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