EN
TR
STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION
Abstract
In this study, after defining the concepts of quality and quality control, the concept of statistical process control tools is examined. As a result of the data obtained from denim pants produced by a textile company operating in the ready-to-wear sector, defects were analyzed using statistical process control techniques. In this study, flowchart, control charts, pareto analysis, p-control diagram, cause-effect diagram, and grouping techniques were used. With the use of basic statistical process control tools, the most recurring defects were, and these defects were divided into subheadings for more detailed analysis. In this way, it was tried to prevent the repetition of defects by going down to the root causes of the detected defects. The causes of possible defects that may occur during production and solution suggestions were categorized. By going down to the basic causes of the detected defects and categorized them, defects were prevented by presenting and implementing solution suggestions. It is expected that the study with this different perspective will be an example of the sector and related fields as an alternative method. The aim of this study is to examine quality control practices in the garment industry, contribute to statistical control methods and problem-solving procedures, produce suggestions for problem-solving approaches, and disseminate improvement studies.
Keywords
Supporting Institution
The study was not supported by any institution.
Thanks
As the authors, we are grateful to the OMS company officials who shared data with us during the writing of this project. We are also grateful for the interest shown by the editors of the journal.
References
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Details
Primary Language
English
Subjects
Textile Quality Control
Journal Section
Research Article
Early Pub Date
December 21, 2023
Publication Date
December 31, 2023
Submission Date
June 19, 2023
Acceptance Date
October 23, 2023
Published in Issue
Year 2023 Volume: 9 Number: 2
APA
Ural, Ö., & Elmalı, C. (2023). STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION. Mugla Journal of Science and Technology, 9(2), 94-103. https://doi.org/10.22531/muglajsci.1316596
AMA
1.Ural Ö, Elmalı C. STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION. Mugla Journal of Science and Technology. 2023;9(2):94-103. doi:10.22531/muglajsci.1316596
Chicago
Ural, Özge, and Canberk Elmalı. 2023. “STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION”. Mugla Journal of Science and Technology 9 (2): 94-103. https://doi.org/10.22531/muglajsci.1316596.
EndNote
Ural Ö, Elmalı C (December 1, 2023) STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION. Mugla Journal of Science and Technology 9 2 94–103.
IEEE
[1]Ö. Ural and C. Elmalı, “STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION”, Mugla Journal of Science and Technology, vol. 9, no. 2, pp. 94–103, Dec. 2023, doi: 10.22531/muglajsci.1316596.
ISNAD
Ural, Özge - Elmalı, Canberk. “STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION”. Mugla Journal of Science and Technology 9/2 (December 1, 2023): 94-103. https://doi.org/10.22531/muglajsci.1316596.
JAMA
1.Ural Ö, Elmalı C. STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION. Mugla Journal of Science and Technology. 2023;9:94–103.
MLA
Ural, Özge, and Canberk Elmalı. “STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION”. Mugla Journal of Science and Technology, vol. 9, no. 2, Dec. 2023, pp. 94-103, doi:10.22531/muglajsci.1316596.
Vancouver
1.Özge Ural, Canberk Elmalı. STATISTICAL PROCESS CONTROL AS A TOOL FOR QUALITY IMPROVEMENT: A CASE STUDY IN DENIM PANT PRODUCTION. Mugla Journal of Science and Technology. 2023 Dec. 1;9(2):94-103. doi:10.22531/muglajsci.1316596