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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Ilmu Komputer Assyfa Journal of Farming and Agriculture
Riyana, Iis
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Upaya Perbaikan Downtime pada Mesin Dryer Menggunakan Metode Overall Equipment Effectiveness di PT. ABC Riyana, Iis; Hamidah, Nur; Sulistyowati, Enik; Diana, Alfi Nur
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.48114

Abstract

High downtime in production machines is one of the main obstacles that hinder the achievement of production targets in the manufacturing industry. PT Syngenta Seed Indonesia, particularly in the plant dryer section, experiences significant downtime issues on the dryer machine, which impacts the failure to meet the corn seed yield targets. This study aims to measure the effectiveness of the dryer machine and identify the root causes of downtime in order to propose appropriate corrective actions. The method used is Overall Equipment Effectiveness (OEE) measurement, which consists of three main components: availability, performance, and quality. The results of the study show that the average OEE value is 48%, far below the world-class standard of 85%. The average values for availability, performance, and quality are 66%, 75%, and 97%, respectively. The main causes of the low OEE value are high downtime due to material waiting times, machine overheating, and operator handling errors. Based on these findings, proposed improvements include operator training, rescheduling preventive maintenance, temperature sensor repairs, and adjustments to the drying process information system.
Identifikasi Waste Defect Type 2 Dengan Pendekatan Metode Lean Manufacturing Untuk Meminimalisir Cacat Produksi pada ProsesTurning di CV. ABC Hamidah, Nur; Sulistyowati, Enik; Riyana, Iis
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.48869

Abstract

CV. ABC is a wood-processing manufacturing company with one of its main products being turning components. The primary issue faced by the company is waste caused by frequent product defects due to human error. This study aims to minimize non-value-added activities and identify the root causes of human error in the turning production process. The Value Stream Mapping (VSM) method is used to map the process flow from raw materials to finished products. Data were collected through questionnaires and analyzed using WAM, WRM, and WAQ. The results identified the three highest types of waste: defect (27.979%), overproduction (15.471%), and inventory (12.363%). Waste prioritization was carried out using VALSAT, with PAM and QFM selected as the most influential tools. Fishbone analysis revealed lack of focus and attention to detail as the main causes of human error. Improvements were proposed through skill enhancement training, occupational health and safety (OHS) implementation, and regular checklist usage. As a result, processing time was reduced from 2,384.2 minutes to 2,247.4 minutes, as illustrated in the Future State VSM.
Co-Authors Alfaris, M Salman Diana, Alfi Nur Enik Sulistyowati Enik, Enik Sulistyowati Gifthera Dwilestari j.ezugwu, umezurike Masud, Mukhammad Mubarok, Khoirul Mustaqim Mustaqim, Mustaqim Nur Hamidah, Nur Rizqi, A Faisal Maulana Rudi Kurniawan Sahroni, Mochamad Suarna, Nana Yurniawati, Ratna Diah Zahro, Fatimatu