Encep Jianul Hayat
Institut Teknologi Garut

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Pendekatan Statistical Quality Control untuk Peningkatan Kualitas Produk Spare part Mobil Dody Chandrahadinata; Encep Jianul Hayat; Savina Tika Sari
Jurnal Kalibrasi Vol 24 No 1 (2026): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.24-1.2619

Abstract

This study was conducted at PT. XYZ, an automotive spare parts manufacturing company, which experienced a product defect rate of 5.4%, exceeding the company's tolerance limit of 3%. The types of defects found included dimension (non-standard size), scratch, burry (stuck cutting residue), and rusty (rust). The objectives of this study were to analyze quality control, identify the main causes of defects, and formulate improvement proposals using the Statistical Quality Control (SQC) method. Defect data from January to June 2024 were analyzed using check sheets, Pareto charts, and fishbone diagrams. The Pareto analysis results showed that burrs had the highest percentage, accounting for 28% of total defects. The FMEA analysis identified machine factors as the dominant cause, with the highest RPN value of 288 in cases of imprecise dies. Improvement recommendations focused on implementing a continuous maintenance schedule, replacing worn components, and readjusting dies, which are expected to reduce the defect rate to below 3% and improve production process stability. This research contributes to improving the quality and efficiency of automobile spare part production at PT. XYZ.
Peningkatan Produktivitas Cement mill melalui Pendekatan Overall Equipment Effectiveness dan Six Big Losses Prasiska Dwiana Putri; Aswan Munang; Encep Jianul Hayat; Khikmatul Aliyah
Jurnal Kalibrasi Vol 24 No 1 (2026): Jurnal Kalibrasi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/kalibrasi/v.24-1.3389

Abstract

PT XYZ faces a high downtime problem in Cement Mill Unit One, which has an impact on decreasing productivity and operational efficiency. This study aims to evaluate the effectiveness level of the machine using the Overall Equipment Effectiveness (OEE) method and to identify the root causes of the problems through Six Big Losses analysis and Fishbone Diagram. The results show that the average OEE value of Cement Mill Unit One in 2024 only reached 57 percent, which is still below the international ideal standard of 85 percent. This low effectiveness is dominated by idling and minor stoppages at 32.30 percent, followed by reduced speed losses at 23 percent, and equipment failure loss at 17.57 percent. Through the Fishbone Diagram analysis, the main causes of these losses were found to originate from human, machine, method, and environmental aspects. The proposed improvement recommendations include digitalizing maintenance documentation, implementing strict routine maintenance scheduling, improving operator competence, controlling the moisture content of input materials, and optimizing workplace cleanliness.