Reducing Outgoing Quality Level (OQL) in Textile Manufacturing Through Six Sigma Methodology: A Case Study

Globally, the textile industry plays a significant role in production but faces many challenges that affect its operation and sustainability. Product quality remains an essential concern despite technological advancements and quality control measures. Raw materials, production methods, and skills differ, resulting in customer dissatisfaction and damage to reputation. A quality management strategy is necessary to overcome these problems and promote quality improvement. This includes the implementation of the Lean Six Sigma approach. This article focuses on improving textile quality by developing the Six Sigma DMAIC method. An analysis of three months' data from a textile company shows that an increase in the Outgoing Quality Level (OQL) from 3% to 6% resulted in significant economic losses, amounting to PKR-240,000 due to rework, residual costs, customer returns, and lost sales time. By utilizing Six Sigma tools, the company reduced OQL from 6% to 4%, thus lowering product losses and increasing operational efficiency. As a result of these findings, the textile industry can improve quality and profitability through a Lean Six Sigma approach.

Authors

Institutions

Publication Details

Journal
Textile & Leather Review
Published
2024-08-08
DOI
https://doi.org/10.31881/tlr.2024.133
Citations
3
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
1.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing Outgoing Quality Level (OQL) in Textile Manufacturing Through Six Sigma Methodology: A Case Study

Shuaib Kaka, Umair Sarwar, Ali Akbar, Rano Khan Wassan et al.
3 citations
Textile & Leather Review
Quality and Supply Management
1.59
article

Reducing Outgoing Quality Level (OQL) in Textile Manufacturing Through Six Sigma Methodology: A Case Study

Shuaib Kaka, Umair Sarwar, Ali Akbar, Rano Khan Wassan, Muttahira Maryam, J. Al Ansari
article en
3 citations

Abstract

Globally, the textile industry plays a significant role in production but faces many challenges that affect its operation and sustainability. Product quality remains an essential concern despite technological advancements and quality control measures. Raw materials, production methods, and skills differ, resulting in customer dissatisfaction and damage to reputation. A quality management strategy is necessary to overcome these problems and promote quality improvement. This includes the implementation of the Lean Six Sigma approach. This article focuses on improving textile quality by developing the Six Sigma DMAIC method. An analysis of three months' data from a textile company shows that an increase in the Outgoing Quality Level (OQL) from 3% to 6% resulted in significant economic losses, amounting to PKR-240,000 due to rework, residual costs, customer returns, and lost sales time. By utilizing Six Sigma tools, the company reduced OQL from 6% to 4%, thus lowering product losses and increasing operational efficiency. As a result of these findings, the textile industry can improve quality and profitability through a Lean Six Sigma approach.

Textile & Leather ReviewVol. 7
Dawood University of Engineering and Technology (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Quality and Supply Management
1.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reducing Outgoing Quality Level (OQL) in Textile Manufacturing Through Six Sigma Methodology: A Case Study — Shuaib Kaka, Umair Sarwar, et al. · Textile & Leather Review (2024) | TGRS Research Map | TGRS