Evaluation of Injection Machine Performance Using Overall Equipment Effectiveness (Oee): A Case Study in A Footwear Manufacturing Plant

Overall Equipment Effectiveness, Injection molding machine, Manufacturing productivity, Preventive maintenance, Root cause analysis.

Authors

  • Magdalena Setyowati Universitas Katolik Darma Cendika, Jl. Dr. Ir. H. Soekarno No.201, Surabaya, 60117, Indonesia.
  • Nyoman Sri Widari Universitas Katolik Darma Cendika, Jl. Dr. Ir. H. Soekarno No.201, Surabaya, 60117, Indonesia.
  • Desrina Yusi Irawati Universitas Katolik Darma Cendika, Jl. Dr. Ir. H. Soekarno No.201, Surabaya, 60117, Indonesia.
March 28, 2026
April 3, 2026

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Injection molding machines play a crucial role in achieving production targets at PT XYZ, a footwear manufacturing company located in East Java, Indonesia. However, operational inefficiencies have contributed to decreased machine effectiveness and overall productivity. This study aims to evaluate the performance of Injection Machine 7 by applying the Overall Equipment Effectiveness (OEE) method as a key performance indicator. OEE is measured through three main components: availability, performance, and quality, using operational data collected between June 2023 and October 2024. The results show that the average OEE value of Injection Machine 7 is 81.64%, which is below the world-class benchmark of 85% established by the Japanese Institute of Plant Maintenance (JIPM). The analysis indicates that relatively low performance and quality rates are the primary factors contributing to the reduced level of machine effectiveness. To identify the root causes of these issues, a cause-and-effect (fishbone) diagram based on the 4M framework (Man, Machine, Material, and Method) was employed. The findings reveal that human and machine factors are the dominant contributors to the observed inefficiencies. Key issues include operator negligence, inadequate adherence to maintenance procedures, machine breakdowns, and improper machine parameter settings. Based on these findings, several improvement strategies are proposed, including strengthening operator training programs, implementing more rigorous preventive maintenance practices, and conducting periodic machine calibration. The implementation of these corrective actions is expected to enhance machine effectiveness, improve production efficiency, and support sustainable manufacturing performance.