Analysing the Impact of Autonomous Maintenance on the Packaging Line of a Pharmaceutical Industry

Authors

  • Abdul Moiz Memon Department of Industrial Engineering \& Management, MUET, Jamshoro, Pakistan Author
  • Muhammad Saad Memon Department of Industrial Engineering \& Management, MUET, Jamshoro, Pakistan Author
  • Sonia Irshad Mari Department of Industrial Engineering \& Management, MUET, Jamshoro, Pakistan Author

DOI:

https://doi.org/10.52584/QRJ.2002.08

Keywords:

Autonomous Maintenance, Changeover, OEE, Production efficiency, unplanned downtime; uptime

Abstract

To meet the market’s challenges, industries are today confronted with a difficult situation, particularly maintaining product quality at competitive costs. Such a condition necessitates an increase in productivity with decreased expenses. Autonomous Maintenance (AM) facilitates this for industries. This project intends to integrate Autonomous Maintenance (AM) in a pharmaceutical manufacturing line, with a focus on the needs of a developing-country business. The focus of the research has been on operator training as the primary component of autonomous maintenance. It tries to instill a sense of responsibility for machine maintenance among machine workers. This allows the maintenance staff to focus on other essential responsibilities. The analysis of recurring losses and their resolution established the basis for the implementation of AM. The required for Scheduled Maintenance was lowered by 2.61 hours per week. Since the deployment of AM, the OEE has been on the rise and is approaching the world-class level of 80%. AM has cut unscheduled downtime by more than 100 percent and prevented additional changeover delays. As a result of a 6% improvement in total uptime, typical shift times have been lowered, bringing significant benefits to both the firm and its personnel. The report proposes that stakeholders continuously seek chances for development and expand the scope of additive manufacturing by incorporating activities known to affect the production efficiency of manufacturing lines.

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Published

2022-12-28