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All Journal Industrika : Jurnal Ilmiah Teknik Industri Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Melinda Cryselia Maysandi Limbong
Universitas Widyatama
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

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Analisis OEE (Overall Equipment Effectiveness) dan Six Big Losses dalam Menilai Efektivitas Mesin CNC Pada Proses Produksi PT DEF Tantan Tandiansyah; Melinda Cryselia Maysandi Limbong; Sulaksono Mahesa Putra; Tiaradia Ihsan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/gvxcq711

Abstract

This research is motivated by initial findings indicating that the Computer Numerical Control (CNC) machines at PT DEF exhibit various operational inefficiencies, including high downtime, unstable production speed, and an increased number of defective products. These conditions suggest that machine effectiveness is not yet optimal and may negatively affect productivity while increasing operational costs. Therefore, this study aims to evaluate the level of Overall Equipment Effectiveness (OEE) and identify the categories of the Six Big Losses that contribute most significantly to the decline in machine performance. The study was conducted through the calculation of OEE components (availability, performance, and quality) and an analysis of the Six Big Losses based on direct observations, interviews with operators, and production data from January to March 2025. The results indicate that the average OEE value of  82,98% remains below the international standard of 85%. The largest losses originate from Breakdown Losses at 38% and Idling & Minor Stoppages at 20%, followed by Reduced Speed and Defect in Process, each contributing 12%. These findings demonstrate that machine reliability and production process stability are the dominant factors requiring improvement. Accordingly, strengthening preventive maintenance and optimizing operational parameters are recommended to enhance production effectiveness. Keywords: CNC Machine, Overall Equipment Effectiveness, Preventive Maintenance, Six Big Losses
Analisis Risiko Proses Pemeriksaan Material Kancing 18l pada Bagian Incoming Inspection di PT XYZ Melinda Cryselia Maysandi Limbong; Yani Iriani
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 4 No. 4 (2026): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v4i4.1515

Abstract

This study was conducted in the Incoming Inspection department of PT XYZ, a garment manufacturing company, and was motivated by the increasing percentage of nonconforming 18L button materials, which rose from 1.30% in 2023 to 2.25% in 2025. This condition highlights the importance of identifying and controlling risks in the material inspection process. The study aimed to identify potential risks, determine risk priorities, analyze their root causes, and propose improvement measures for the 18L button material inspection process. A descriptive-evaluative case study design with qualitative and semi-quantitative approaches was employed using the Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis (RCA) methods. Data were collected through direct observation, company documentation, and FMEA assessments conducted by three purposively selected respondents. Risk assessment was performed using the Severity, Occurrence, and Detection parameters, followed by the calculation of the Risk Priority Number (RPN). The results identified ten potential process risks, with three priority risks: undetected hairline cracks or broken buttons (RPN = 360), unidentified color differences (RPN = 336), and undetected blocked buttonholes (RPN = 210). The RCA results revealed that these risks were primarily associated with inspection procedures, visual reference standards, lighting conditions, and inspection aids. Based on these findings, several improvement proposals were developed, including the standardization of inspection procedures, refinement of work instructions, provision of inspection aids, and the development of a poka-yoke concept to improve the consistency of the Incoming Inspection proces.
Co-Authors Sulaksono Mahesa Putra Tantan Tandiansyah Tiaradia Ihsan Yani Iriani