Failure Mode Analysis of Injection Molding Machines Using FMEA to Improve Production Reliability

Authors

  • Bayu Wahyudi Universitas Muhammadiyah Palembang
  • Asrul Fole Universitas Muslim Indonesia
  • Muhamad Alfi Syahrin Universitas Muhammadiyah Palembang
  • Nurul Binti Gafar Universitas Muslim Indonesia
  • Yasmin Universitas Muhammadiyah Palembang

DOI:

https://doi.org/10.56882/jisem.v5i1.75

Keywords:

Failure Mode and Effects Analysis, Injection Molding Machine, Production Reliability, Preventive Maintenance, Risk Priority Number

Abstract

Production reliability plays an important role in maintaining operational efficiency and product quality in manufacturing industries, particularly in injection molding machine systems. However, machine failures often cause downtime, defective products, and increased maintenance costs. This study aims to analyze failure modes in injection molding machines using the Failure Mode and Effects Analysis (FMEA) method to improve production reliability at the South Sumatra Palm Oil Processing Industry. The research employed a quantitative descriptive-analytical approach, using observations, interviews, documentation, and maintenance records collected during August 2025. The analysis focused on critical machine components, including the mold, heater band, cutting system, hydraulic pump, and thermocouple. The results showed that the mold failure coded M1 had the highest Risk Priority Number (RPN) of 140, followed by the cutting failure C1 with 120 and the mold closing failure M2 with 108. Pareto analysis indicated that approximately 60% of operational disruptions were caused by four dominant failures. The proposed preventive maintenance and inspection strategies are expected to significantly reduce operational disruptions and improve production reliability.

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Published

2026-06-30

How to Cite

[1]
B. Wahyudi, A. Fole, M. A. Syahrin, N. B. Gafar, and Yasmin, “Failure Mode Analysis of Injection Molding Machines Using FMEA to Improve Production Reliability”, JISEM, vol. 5, no. 1, pp. 1–9, Jun. 2026.