International Journal of Industrial Engineering and Management

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Original Research Article

Reliability-Based Preventive Maintenance Scheduling of a Multi-unit Injection Molding System: A Case Study

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  • Simon Muhiu,
  • James Wakiru,
  • Peter Muchiri
Simon Muhiu
Dedan Kimathi University of Technology, Department of Mechanical Engineering, Nyeri, Kenya
James Wakiru
Dedan Kimathi University of Technology, Department of Mechanical Engineering, Nyeri, Kenya
Peter Muchiri
Dedan Kimathi University of Technology, Department of Mechanical Engineering, Nyeri, Kenya
DOI: https://doi.org/10.24867/IJIEM-368

Published 2024-12-19

abstract views: 12 // FULL TEXT ARTICLE (PDF): 3


Keywords

  • Maintenance,
  • Reliability,
  • Availability,
  • Injection mold,
  • Preventive maintenance

How to Cite

Muhiu, S., Wakiru, J., & Muchiri, P. (2024). Reliability-Based Preventive Maintenance Scheduling of a Multi-unit Injection Molding System: A Case Study. International Journal of Industrial Engineering and Management, article in press. https://doi.org/10.24867/IJIEM-368

Copyright (c) 2024 International Journal of Industrial Engineering and Management

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In industrial manufacturing, the paucity of an integrated approach for determining preventive maintenance intervals in multi-unit systems poses challenges. Achieving optimal system performance and reliability is crucial for productivity and profitability. This study proposes an integrative approach that optimizes preventive maintenance intervals for each mold unit within the multi-unit plastic injection molding system while considering reliability, availability, maintainability, and supportability (RAMS), an aspect previous studies have not considered. The objective is to enhance system reliability, reduce downtime, and improve overall performance. For the first time, the study concurrently explores reliability, availability, maintainability, and supportability analysis for an injection molding plant. The results of this investigation show that the RAMS analysis can be used to determine the prevention maintenance schedule of each subunit to achieve the desired plant reliability level. The study reveals that an 80% reliability level yields optimal preventive maintenance intervals.

Article history: Received (January 31, 2024); Revised (September 14, 2024); Accepted (October 8, 2024); Published online (December 19, 2024)

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FULL TEXT ARTICLE (PDF)
REFERENCES (PDF)