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Analisis Pengendalian Kualitas Proses Bonding Garmen Menggunakan Metode Six Sigma Pada PT. PB Siregar, Rendi Robintang; Sumiati
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

PT PB, one of Indonesia's garment factories, has found defective garments in its production process. These defects result in financial and time losses for the company. This study aims to reduce the defect rate of garment products, analyse the causes of production defects and propose quality control improvements. The Six Sigma method based on the DMAIC approach (Define, Measure, Analyze, Improve, Control) was used in this research. The results showed a Sigma level of 3.48 and a DPMO value of 23,440 defects per million garment productions in October 2024. In addition, five types of garment defects were identified, with the Pareto chart indicating that peel-off accounted for the highest percentage at 29%. Recommendations for improvement include implementing predictive maintenance and evaluating unplanned breakdowns after maintenance, conducting initial inspections and monitoring processes to ensure machines comply with SOPs, strict inspection of fabrics and accessories from receipt to processing, continuous improvement, strict product quality monitoring by operators at each workstation, and increased employee training before machines are operated.
Product Defect Analysis of PDH Shirts Using Fault Tree Analysis and Failure Mode and Effect Analysis Siregar, Rendi Robintang; Aryanny, Enny
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2235

Abstract

CV. Graha Konveksindo Sidoarjo is a manufacturing company that produces garments, with PDH shirts as one of its products. Problems identified at CV. Graha Konveksindo include defects in PDH shirts, totaling 891 pieces, with a defect rate of 12.95 %. This study aims to determine the types and causes of defects and provide suggestions for improvement. The methods used are Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA). Based on the study results, four types of defects were found: reverse embroidery with an occurrence probability of 3.53%, untidy stitches with an occurrence probability of 3.34%, off-center emblems with an occurrence probability of 2.36%, and stains with an occurrence probability of 3.13%. Across these defect types, 15 root causes were identified as contributing factors. From the FMEA calculation results, the highest Risk Priority Number (RPN) was found in untidy stitch defects at 252, followed by the reverse embroidery defects emblem defects at 240, off center emblem defects at 210, and stain defects at 160. Some recommended improvement proposals to reduce product defects include providing operator training, conducting briefings before production, and routinely checking sewing and embroidery machines.