Analysis of Equipments' Maintenance in a Production Line: Corrective and Preventive Approach: A Case Study in a Pharmaceuthical Industry

Abstract

This study aims to underscore the importance of effective maintenance management within the pharmaceutical industry. This is achieved by meticulously analyzing available data from a production filling line and leveraging real-world data from a public pharmaceutical facility. The research provides cogent recommendations to catalyze substantive improvements in maintenance management practices. The case study draws upon data from the service order management software employed in a specific filling line, employing the Failure Mode and Effect Analysis (FMEA) methodology to delineate critical components within the production process. Among the principal findings, it becomes evident that the prevailing preventive maintenance practice exhibits inadequacies in mitigating the incidence of corrective maintenance interventions. In light of these findings, the study advocates for adopting maintenance management protocols aligned with the ethos of Industry 4.0. By embracing contemporary practices inherent within Industry 4.0 frameworks, such as predictive maintenance and data-driven decision-making, pharmaceutical enterprises stand poised to optimize operational efficiencies and enhance overall maintenance efficacy.