PENDEKATAN LEAN-SIX SIGMA UNTUK MINIMASI DEFECT KONTAMINAN FET PADA PROSES INJECTION MOULDING

Maulana, Muhammad Zaki (2021) PENDEKATAN LEAN-SIX SIGMA UNTUK MINIMASI DEFECT KONTAMINAN FET PADA PROSES INJECTION MOULDING. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Departemen produksi Injection Moulding (IMM) merupakan salah satu core business perusahaan dengan hasil produksi berupa kemasan produk compact. Berdasarkan kodisi saat ini dan target perusahaan untuk mendapatkan sertifikasi CCPP (Certified Conforming of Process and Product), projek minimasi defect kontaminan fet diinisiasi. Defect kontaminan fet disebabkan oleh ketidaktepatan proses persiapan produksi maupun proses produksi yang berimbas pada munculnya kotoran pada mould, mesin, peralatan maupun pekerja serta dapat mengontaminasi produk. Penelitian ini menggunakan pendekatan Lean Six Sigma dengan framework DMAIC. Pada fase Define dilakukan identifikasi proses produksi menggunakan diagram SIPOC, identifikasi defect dan reliability. Pada fase measure dilakukan klasifikasi mesin serta perhitungan sigma level dan reliability saat ini berdasarkan output pada fase define. Pada fase Analyze dilakukan identifikasi penyebab terjadinya defect Kontaminan fet menggunakan metode Root Cause Analysis, dilanjutkan dengen analisis risiko menggunakan metode Failure Mode Effect Analysis dan diakhir dengan penentuan prioritas risiko berdasarkan hasil analisis pareto. Fase selanjutnya adalah Improve yaitu penentuan rekomendasi perbaikan serta perhitungan sigma level kondisi perbaikan serta penentuan perubahan sigma level. Efektivitas perbaikan mencapai 90% pengurangan defect kontaminan fet, pengurangan defect rate sebesar 0,45% dan meningkatkan sigma level sebesar 0,08.
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The Injection Molding (IMM) production department is one of the company's core businesses with production in the form of compact product packaging. Based on the current conditions and the company's target to obtain CCPP (Certified Conforming of Process and Product) certification, a fet contaminant defect minimization project was initiated. Fet contaminant defects are caused by inaccuracies in the production preparation process and the production process which have an impact on the appearance of dirt on the mold, machinery, equipment, and workers and can contaminate the product. This study uses a Lean Six Sigma approach with the DMAIC framework. In the Define phase, identification of the production process is carried out using the SIPOC diagram, identification of defects, and reliability. In the measure phase, machine classification is carried out as well as the calculation of the current sigma level and reliability based on the output in the define phase. In the Analyze phase, identification of the cause of the fet contaminant defect is carried out using the Root Cause Analysis method, followed by risk analysis using the Failure Mode Effect Analysis method and at the end of determining risk priorities based on the results of Pareto analysis. The next phase is Improve, which is the determination of improvement recommendations and the calculation of the sigma level of the repair conditions, and the determination of changes to the sigma level. The effectiveness of the repair reached a 90% reduction in fet contaminant defects, reduced defect rate by 0.45%, and increased sigma level by 0.08.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kata kunci : Defect, Lean Six Sigma, DMAIC, SIPOC Diagram, Reliability, Root Cause Analysis, Failure Mode Effect Analysis, Diagram Pareto.
Subjects:	T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering) T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning)
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Zaki Maulana
Date Deposited:	19 Aug 2021 05:33
Last Modified:	19 Aug 2021 05:33
URI:	http://repository.its.ac.id/id/eprint/87602

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