Open AccessA Case Study of Six Sigma Define-Measure-Analyze-Improve-Control (DMAIC) Methodology in Garment Sector
Author(s) -
Abdur Rahman,
Salaha Uddin Chowdhury Shaju,
Sharan Kumar Sarkar,
Mohammad Zahed Hashem,
S. M. Kamrul Hasan,
Ranzit Mandal,
Umainul Islam
Publication year - 2017
Publication title -
independent journal of management and production
Language(s) - English
Resource type - Journals
ISSN - 2236-269X
DOI - 10.14807/ijmp.v8i4.650
Subject(s) - dmaic , six sigma , computer science , measure (data warehouse) , clothing , variance (accounting) , reliability engineering , sigma , control (management) , root cause analysis , manufacturing engineering , operations management , statistics , mathematics , business , engineering , data mining , artificial intelligence , history , physics , accounting , archaeology , quantum mechanics , lean manufacturing
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. The analysis from employing Six Sigma and DMAIC indicated that the broken stitch and open seam influenced the number of defective products. 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. 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.