Garment Manufacturing Index

Document Type : Original Article

Authors

1 Mansoura University

2 ., Faculty of Family Science Taibah University, Saudi Arabia

Abstract

In the apparel manufacturing industry, there is no shortage of standards and grading systems for measuring /and or forecasting defects. Manufacturing processes, equipment, teamwork, and accountability all are important, but if fabric quality falls short, nothing else can make up for it. Apparel manufacturer's judge a number of aspects of fabric quality, including, subjective assessment factors such as: fabric finger print (FAST/and or KES-F), Kaizen, Deming cycle,6 sigma method, Lean six sigma, and/or objective evaluation factors such as: process sigma level (σ), specific sewing stress (SSS), and garment manufacturing
index (GMI) .
Defects minimization/and or evaluation is the first condition of reducing production cost and improving the quality. It will also reduce the cycle time by reducing reworks and finally result higher productivity. Concerning this matter, the present study explores the use of Process sigma level – Garment manufacturing index–Specific sewing stress, methodology to evaluate the defects rate in a selected garment factory. The result found after implementation of Kendall's coefficient of concordance "W", both Garment manufacturing index and Process sigma level are very significant.

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