Enhancing garment manufacturing process efficiency: a DMAIC case study for process improvement

Komal Naseem, Syed Yahya Adil, Syed Mehmood Hasan, Satya Shah and Sharfuddin Ahmed Khan

International Journal of Productivity and Quality Management, 2025, vol. 45, issue 4, 459-487

Abstract: This study applies the Six Sigma DMAIC methodology to reduce high defect rates in the stitching process of garment manufacturing. Focused on a leading firm producing 5-pocket denim jeans over 18 days, it systematically identifies and addresses defects like pleat/puckering, slip stitch, and uneven stitch, primarily caused by operator errors, machine malfunctions, and inadequate training. Using tools like Pareto charts and cause-and-effect diagrams, interventions such as operator training, machine maintenance, and process standardisation reduced the defect per million opportunities (DPMO) from 3363 to 228, raising the sigma level from 4.2 to 5.01. The project also improved worker safety, cost management, and operational efficiency. This successful implementation of DMAIC not only resolved immediate quality issues but also provided a scalable model for future improvements in garment manufacturing, demonstrating the economic benefits of defect reduction and process optimisation.

Keywords: define, measure, analyse, improve, and control; DMAIC; Six Sigma; defects reduction; DPMO. (search for similar items in EconPapers)
Date: 2025
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