Analisis efektivitas mesin bordir komputer fuhao menggunakan metode Overall Equipment Effectiveness (OEE) dan Six Big Losses (Studi kasus: UKM XYZ)

Authors

  • Slamet Nasrudin Universitas Pelita Bangsa
  • Dwi Irwati Universitas Pelita Bangsa, Cikarang
  • Muhammad Najamuddin Dwi Miharja Universitas Pelita Bangsa, Cikarang

DOI:

https://doi.org/10.31004/jutin.v8i1.39294

Keywords:

Overall Equipment Effectiveness (OEE), Six Big Losses, Fishbone Diagram

Abstract

UKM XYZ is a computer embroidery service business. Based on observations and interviews with the head of production, computer embroidery machines often experience problems and cause machine downtime every month which can cause losses. This study aims to analyze the effectiveness of computer embroidery machines using the Overall Equipment Effectiveness (OEE) method and identify the causes of losses using the Six Big Losses. After knowing the cause of the low effectiveness of the machine, the next step is to identify it using the Fishbone Diagram, then provide suggestions for improvement. The results showed that the calculation of OEE resulted in an average value of 76.46%, in the context of JIPM standards categorized as “MEDIUM”, the calculation of Six Big Losses the cause of the highest losses is Reduced Speed Losses with a value of 15.57% and Idling & Minor Stoppage Losses as much as 13.34%. Based on the Fishbone Diagram analysis, the proposed improvements to increase effectiveness are providing training to operators, conducting a daily checklist of machines, ensuring materials according to specifications and machine capabilities, implementing a preventive maintenance system, implementing a 5 R work culture.

References

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Published

2025-01-13

How to Cite

Nasrudin, S., Irwati, D., & Miharja, M. N. D. (2025). Analisis efektivitas mesin bordir komputer fuhao menggunakan metode Overall Equipment Effectiveness (OEE) dan Six Big Losses (Studi kasus: UKM XYZ). Jurnal Teknik Industri Terintegrasi (JUTIN), 8(1), 177–189. https://doi.org/10.31004/jutin.v8i1.39294

Issue

Section

Articles of Research

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