A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production

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.

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Publication Details

Journal
ITEJ (Information Technology Engineering Journals)
Published
2025-06-12
DOI
https://doi.org/10.24235/itej.v10i1.215
Primary Topic
Quality and Supply Management
Type
article
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article

A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production

Rusindiyanto Rusindiyanto, Faris Yasin Rochmatullah
ITEJ (Information Technology Engineering Journals)
Quality and Supply Management
article

A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production

Rusindiyanto Rusindiyanto, Faris Yasin Rochmatullah
article en

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.

ITEJ (Information Technology Engineering Journals)Vol. 10(1)
University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 71%
Quality and Supply Management
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A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production — Rusindiyanto Rusindiyanto, Faris Yasin Rochmatullah · ITEJ (Information Technology Engineering Journals) (2025) | TGRS Research Map | TGRS