Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector

Detalhes bibliográficos
Autor(a) principal: Rahman, Abdur
Data de Publicação: 2018
Outros Autores: Shaju, Salaha Uddin Chowdhury, Sarkar, Sharan Kumar, Hashem, Mohammad Zahed, Hasan, S. M. Kamrul, Islam, Umainul
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/732
Resumo: This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.
id IJMP_68907e20f73925107f6c76e7f657313d
oai_identifier_str oai:www.ijmp.jor.br:article/732
network_acronym_str IJMP
network_name_str Independent Journal of Management & Production
repository_id_str
spelling Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment SectorSix SigmaDMAICDefects ReductionGarment SectorBangladeshThis paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.Independent2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/73210.14807/ijmp.v9i3.732Independent Journal of Management & Production; Vol. 9 No. 3 (2018): Independent Journal of Management & Production; 810-8262236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/732/883http://www.ijmp.jor.br/index.php/ijmp/article/view/732/906http://www.ijmp.jor.br/index.php/ijmp/article/view/732/1601Copyright (c) 2018 Abdur Rahman, Salaha Uddin Chowdhury Shaju, Sharan Kumar Sarkar, Mohammad Zahed Hashem, S. M. Kamrul Hasan, Umainul Islaminfo:eu-repo/semantics/openAccessRahman, AbdurShaju, Salaha Uddin ChowdhurySarkar, Sharan KumarHashem, Mohammad ZahedHasan, S. M. KamrulIslam, Umainul2020-08-25T21:30:39Zoai:www.ijmp.jor.br:article/732Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-08-25T21:30:39Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
title Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
spellingShingle Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
Rahman, Abdur
Six Sigma
DMAIC
Defects Reduction
Garment Sector
Bangladesh
title_short Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
title_full Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
title_fullStr Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
title_full_unstemmed Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
title_sort Application of Six Sigma using Define Measure Analyze Improve Control (DMAIC) methodology in Garment Sector
author Rahman, Abdur
author_facet Rahman, Abdur
Shaju, Salaha Uddin Chowdhury
Sarkar, Sharan Kumar
Hashem, Mohammad Zahed
Hasan, S. M. Kamrul
Islam, Umainul
author_role author
author2 Shaju, Salaha Uddin Chowdhury
Sarkar, Sharan Kumar
Hashem, Mohammad Zahed
Hasan, S. M. Kamrul
Islam, Umainul
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rahman, Abdur
Shaju, Salaha Uddin Chowdhury
Sarkar, Sharan Kumar
Hashem, Mohammad Zahed
Hasan, S. M. Kamrul
Islam, Umainul
dc.subject.por.fl_str_mv Six Sigma
DMAIC
Defects Reduction
Garment Sector
Bangladesh
topic Six Sigma
DMAIC
Defects Reduction
Garment Sector
Bangladesh
description This paper demonstrates the empirical application of Six Sigma and Define-Measure-Analyze-Improve-Control (DMAIC) methodology to reduce product defects within a garments manufacturing organization in Bangladesh which follows the DMAIC methodology to investigate defects, root causes and provide a solution to eliminate these defects. Design of experiments (DOE) and the analysis of variance (ANOVA) techniques were combined to statistically determine the correlation of the broken stitch and open seam with defects as well as to define their optimum values needed to eliminate the defects. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. Thus, a reduction of about 35% in the garments defect was achieved, which helped the organization studied to reduce its defects and thus improve its Sigma level from 1.7 to 3.4.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/732
10.14807/ijmp.v9i3.732
url http://www.ijmp.jor.br/index.php/ijmp/article/view/732
identifier_str_mv 10.14807/ijmp.v9i3.732
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/732/883
http://www.ijmp.jor.br/index.php/ijmp/article/view/732/906
http://www.ijmp.jor.br/index.php/ijmp/article/view/732/1601
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
text/xml
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 9 No. 3 (2018): Independent Journal of Management & Production; 810-826
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
_version_ 1797220491463753728