ANALISIS PENGENDALIAN KUALITAS KAIN RAYON MENGGUNAKAN SIX SIGMA DAN FMEA

Agung, Muhammad Krisna and Al Faritsy, Ari Zaqi (2024) ANALISIS PENGENDALIAN KUALITAS KAIN RAYON MENGGUNAKAN SIX SIGMA DAN FMEA. Tugas Akhir thesis, University of Technology Yogyakarta.

Text 5200611044 Muhammad Krisna Agung-ABSTRAK.pdf Download (177kB)

Abstract

ABSTRAK PC.GKBI Medari merupakan perusahaan yang bergerak di bidang industri tekstil dan memproduksi kain rayon. Dalam proses produksi masih ditemukan cacat dalam periode Oktober 2023 – Maret 2024. Produksi kain rayon sebanyak 286973m yang terdiri dari cacat pakan pakan akhir 11643m, ngombak 8391m, tak teranyam 7569m, pakan double 6173m, pakan renggang 8126m. berdasarkan permasalahan dapat diselesaikan dengan metode six sigma dan FMEA dengan tahapan DMAIC digunakan untuk mengendalikan kualitas dari proses awal sampai ditemukannya usulan perbaikan. Didaptkan dari hasil perhitungan rata-rata sigma 3,39 dengan rata-rata DPMO 29046,87 dalam setuja produksi. Diagram pareto presentase cacat paling dominan yaitu cacat pakan akhir 27,8%, ngombak 20,0%, pakan renggang 19,4%, tak teranyam 18,1%, pakan double 14,7%. Hasil nilai RPN tertinggi yaitu 280 pada cacat pakan akhir dan ngombak dengan penyebab kurangnya ketelitian pekerja terhadap settingan mesin. Pelatihan yang intensif, standarisasi proses, pemantauan kinerja, pengunaan checklist, peningkatan komunikasi, pemeliharaan rutin, penggunaan teknologi. Kata Kunci: Kualitas, FMEA, Six sigma ABSTRACT PC.GKBI Medari is a company that works in the textile industry and manufactures rayon fabric. Defects were still discovered during the production process from October 2023 to March 2024. 286973m of rayon fabric was produced, with defects in the final weft totaling 11643m, wavy fabric measuring 8391m, unwoven fabric at 7569m, double weft at 6173m, and stretch weft at 8126m. The problem can be tackled using the Six Sigma method and FMEA, utilizing the DMAIC stage to manage quality until an improvement solution is identified. According to the calculation results, the average sigma in production agreements is 3.39, with an average DPMO of 29046.87. The final weft defects account for 27.8% of the most dominant defect percentages in the Pareto diagram, followed by wavy at 20.0%, loose weft at 19.4%, non-woven at 18.1%, and double weft at 14.7%. The highest RPN value of 280 was attributed to final feed defects and waves caused by workers' lack of accuracy in machine settings. To address these issues, intensive training, process standardization, performance monitoring, checklists, increased communication, routine maintenance, and technology are recommended as part of the Six Sigma quality improvement approach. Keywords: Quality, FMEA, Six Sigma

Item Type:	Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects:	T Technology > TS Manufactures
Divisions:	Fakultas Sains dan Teknologi > S1 Teknik Industri
Depositing User:	Kaprodi S1 Teknik Industri UTY
Date Deposited:	04 Dec 2024 07:41
Last Modified:	04 Dec 2024 07:41
URI:	http://eprints.uty.ac.id/id/eprint/17049

Actions (login required)

View Item