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Pemodelan proses kerja turnaround pabrik menggunakan Business Process Model Notation (BPMN) Rochmatullah, Faris Yasin; Waluyo, Minto
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.v8i1.39994

Abstract

This study aims to model the work process of factory turnaround using Business Process Model Notation (BPMN) at PT XYZ, which is the largest producer of urea fertilizer in Southeast Asia. Turnaround maintenance is a repair activity carried out when the factory is in a state of shutdown, with the aim of restoring factory performance in accordance with the desired design capacity. Through BPMN modeling, this study identifies critical stages in the process of planning, prepare, implementing, and evaluating turnarounds, as well as potential risks that can affect the smooth running of production. The results of the analysis show that this modeling not only improves the understanding of the workflow, but also helps in more effective decision-making. Thus, the implementation of BPMN at PT XYZ is expected to improve operational efficiency and reduce production disruptions, which in turn has a positive impact on the availability of fertilizers for farmers. This research has made a significant contribution to the development of planned maintenance methodologies in the manufacturing industry.
A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production Rochmatullah, Faris Yasin; Rusindiyanto, Rusindiyanto
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.215

Abstract

This study aims to reduce the number of defects in the production of woven bags, which experiences product defects ranging from 4.1% to 5.4%. The method used is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) approach to improve product quality. Root cause analysis was carried out using fishbone diagrams and Failure Mode and Effect Analysis (FMEA) which identified four main factors causing defects, namely humans, machines, materials, and methods. The results showed that the defects that had the most effect on the production process were perforated weaving, stretched weaving, and miss print. From the data analyzed for the period January to December 2024, a Defects Per Million Opportunities (DPMO) value of 6,746,655 and a sigma level of 3.97 were obtained, which shows that even though the production process is good enough, there is still room for improvement. Improvement recommendations include increased quality supervision and regular calibration of machines to achieve better quality targets. With the application of the Six Sigma method, it is hoped that the company can achieve a significant reduction in the defect rate and improve overall production performance.