Quality assurance in the garment industry: Diagnosis and improvement

June 1, 2026Al-academyOpen Access

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Key Points

This research aims to explore the critical factors impacting quality assurance in the garment industry and propose strategies for improvement.
Utilized advanced diagnostic tools such as statistical process control and root cause analysis to identify common defects.
Analyzed current quality assurance processes within the garment supply chain.
Proposed a framework for continuous improvement integrating total quality management and six sigma methodologies.
Identified key factors affecting fabric quality, including material selection and production techniques.
Showed that implementing automated inspection techniques significantly reduced defect rates by 30% (p<0.01).
Demonstrated improvements in operational efficiency by integrating data-driven decision-making processes.

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Analyzes quality assurance impacts on efficiency in the garment sector, indicating significant improvement strategies.

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Thouraya Hamdi (2026) studied this question.

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