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Penerapan Root Cause Analysis (RCA) dalam mengurangi tingkat cacat produk stick lolipop di PT. XYZ Nasution, Kerina Putri; Fitra, Adi; Insani, Arvita Emarilis
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.41003

Abstract

This study aims to identify the root causes of defects in stick lolipop products at PT. XYZ and develop improvement steps using the Root Cause Analysis (RCA) method. The analysis revealed that hole defects were the most dominant type, accounting for 41.7% of total defects. The primary causes include human factors (lack of training and work fatigue), machinery (irregular maintenance and aging machines), materials (low quality raw materials), environment (insufficient ventilation and lighting), methods (setting errors and inadequate SOP supervision), and measurements (limited measuring tools). After implementing improvements such as operator training, periodic machine maintenance, quality enhancement of raw materials, and stricter SOP supervision, the defect percentage decreased by 37.17%.
Preventive Maintenance on CNC Machines Using the OEE Method to Reduce Downtime at PT. MTAT Rakes, David; Arif, Muhammad; Setiawan, Agus; Nasution, Kerina Putri; Prastyo, Yudi
Jurnal Impresi Indonesia Vol. 3 No. 7 (2024)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v3i7.5116

Abstract

This study examines the performance of CNC machines at PT MTAT Indonesia from January to March 2023. Monthly production data, machine uptime, defect rates, and non-productive periods were collected to assess Overall Equipment Effectiveness (OEE). This study aims to analyze the effectiveness of preventive maintenance of CNC machines at PT MTAT Indonesia using the Overall Equipment Effectiveness (OEE) method to reduce downtime. This study uses monthly data from January to March 2023, including production uptime, defect rates, and non-productive periods, to calculate OEE. The analysis showed that the CNC machines achieved an average OEE of 86.52%, surpassing the global standard of 85%, indicating high efficiency and quality. The study used Pareto analysis to identify the main causes of downtime, finding technical and maintenance issues as the main contributors. By addressing these factors, PT MTAT Indonesia can further improve machine efficiency and productivity. This study contributes to this field by providing a comprehensive analysis of CNC machine maintenance and proposing strategies for continuous improvement.