Quality Improvement in Interlining Manufacturing Through the Six Sigma DMAIC Methodology: A Case Study
DOI:
https://doi.org/10.69639/arandu.v12i4.1881Palabras clave:
DMAIC, six sigma, PDCA, quality, continuous improvement, IshikawaResumen
The Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) methodology is widely used for quality improvement in manufacturing processes. This study presents a case study focused on improving quality in an interlining manufacturing process within a textile company. The objective was to identify the most frequent defects, analyze their root causes, and implement corrective and preventive actions to increase the process sigma level. Quality tools such as inspection sheets, Pareto analysis, p control charts, Ishikawa diagrams, and a PDCA-based action plan were applied. The results showed that stains, creases, and tears accounted for approximately 80% of total defects. After implementing improvement actions, sigma levels increased across all defect categories, with improvements of up to 0.6 in some cases. Although the target sigma level was not achieved for all defects within a single cycle, the findings demonstrate the effectiveness of DMAIC as a structured approach for quality improvement in interlining manufacturing and highlight the importance of continuous improvement strategies.
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Derechos de autor 2025 Alan Badillo Ruiz, Erick Uriel Morales Cruz, Katherin Paola Martínez Olvera, Estella María Esparza Zúñiga, Eusebio Ortiz Zarco
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
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