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All Journal Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Putra, Angga Trisna
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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USULAN PERBAIKAN KUALITAS MASTER BATCH WHITE MENGGUNAKAN METODE FAULT TREE ANALYSIS (FTA) DAN FAILURE MODE EFFECT ANALYSIS (FMEA) DENGAN PENDEKATAN DESIGN OF EXPERIMENT (DOE) DI PT.XYZ Putra, Angga Trisna
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 2 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i2.170

Abstract

PT XYZ, located in ABC industrial area, Serang Regency, Banten, is a Masterbatch manufacturer in Indonesia that faces challenges in maintaining the quality of Masterbatch White, particularly related to color mismatch. This study aims to identify the largest defects, causal factors, and proposed improvements to reduce product defects using Fault Tree Analysis (FTA) and Failure Mode And Effect Analysis (FMEA) and action plants with Design of experiment (Doe).  Through the analysis of Fault Tree Analysis (FTA), Pareto Diagram, and Failure Mode And Effect Analysis (FMEA) and action plant with Design of experiment (Doe), this study found two main factors causing defects. First, non-standard color with an RPN value of 638, which resulted from inappropriate material formulation. Improvement recommendations included material formulation adjustments for two suppliers: from China, with a composition of 70% pigment, 23% resin, and 7% additives and from Europe, with a composition of 70% pigment, 22% resin, and 8% additives. Second, the defect of inappropriate piece size with an RPN value of 378 is caused by blunt knives. To overcome this, it is recommended to change knives every 8 hours and preventive measures to maintain the condition of knives during the production process. These proposed improvements are expected to reduce product defects and improve the quality of Masterbatch White
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