| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 8 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401040 | |
| Published online | 22 December 2025 | |
https://doi.org/10.1051/epjconf/202534401040
Preventive maintenance approach for improving the efficiency of SCM Olimpic K-800 Auto Edgeband machine
1 Industrial Engineering Department, Faculty of Technolgy, Universitas Trunodjoyo Madura, Bangkalan, Indonesia
2 Industrial Management, National Taiwan University of Science and Technology, Taiwan
* Corresponding author: retno.indriartiningtias@trunojoyo.ac.id
Published online: 22 December 2025
This study aims to improve the efficiency of the SCM Olimpic K-800 Auto Edgeband machine at PT ABC, a furniture manufacturing company. From January to June 2024, frequent machine breakdowns disrupted production flow and reduced productivity. The main problem identified was low machine effectiveness, measured using the Overall Equipment Effectiveness (OEE) method, with an average value of 74%, below the world-class standard of 85%. The research contribution is the development of a cost-efficient preventive maintenance schedule that minimizes downtime and improves production reliability. The study applied a quantitative approach using OEE and Six Big Losses analysis to identify the main causes of inefficiency. Results show that the largest loss (58.4%) was due to reduced speed losses. Preventive maintenance scheduling was then developed by classifying spare parts into A (20%), B (30%), and C (50%) cost categories. The proposed maintenance intervals are every 6 months for class A and C, and every 5 months for class B. Cost comparison showed that preventive maintenance reduced total expenses by 25–30% compared to the repair maintenance method. Therefore, implementing a preventive maintenance policy can increase machine effectiveness, reduce costs, and ensure smoother production operations.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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