SUHAERI, SUHAERI (2025) ANALISIS PENINGKATAN KUALITAS PRODUK CASE ECU (ENGINE CONTROL UNIT) DENGAN MENGGUNAKAN METODE DMAIC (DEFINE, MEASURE, ANALYZE, IMPROVE, CONTROL) DAN QFD (QUALITY FUNCTION DEPLOYMENT) PADA INDUSTRI MANUFACTURING DIE CASTING DI TANGERANG, INDONESIA. S2 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
01. COVER.pdf Download (634kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
02. BAB 1.pdf Restricted to Registered users only Download (170kB) |
|
|
Text (BAB II)
03. BAB 2.pdf Restricted to Registered users only Download (440kB) |
|
|
Text (BAB III)
04. BAB 3.pdf Restricted to Registered users only Download (125kB) |
|
|
Text (BAB IV)
05. BAB 4.pdf Restricted to Registered users only Download (697kB) |
|
|
Text (BAB V)
06. BAB 5.pdf Restricted to Registered users only Download (91kB) |
|
|
Text (DAFTAR PUSTAKA)
07. DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (209kB) |
|
|
Text (LAMPIRAN)
08. LAMPIRAN.pdf Restricted to Registered users only Download (426kB) |
Abstract
ECU (Engine Control Unit) failure is a global issue that affects vehicle safety and reliability, prompting manufacturers to issue large-scale recalls. With the growth of the automotive industry, particularly for two-wheeled vehicles, the demand for electronic components such as ECU (Engine Control Unit) casings has increased, necessitating high precision and minimal defects in aluminum diecasting production processes. This study aims to identify and improve the most prevalent defect types using the DMAIC (Define, Measure, Analyze, Improve, Control) method, integrated with QFD (Quality Function Deployment). Based on the collected data, three major defects were identified: porosity gate at 51.18% (47,545 pieces), flowline at 31.11% (28,904 pieces), and cold shut at 11.43% (10,618 pieces). Improvement efforts focused on the porosity gate defect, which had the highest occurrence. The House of Quality analysis resulted in six prioritized improvement actions: enhanced visual gate inspection (75.83), optimized burr detection at the gate area (75.23), spray point optimization (70.90), control of spray tube position during operation (57.70), extended operator training period (35.63), and training outcome evaluation (26.70). Strong positive correlations were found in visual gate inspection and burr detection methods, contributing 22.2% and 22.0%, respectively. After implementing improvements, the DPMO (Defect Per Million Opportunities) value decreased from 14,592 DPMO to 4,871 DPMO, while the sigma level improved from 3.68 σ to 4.08 σ. These results demonstrate that the integration of DMAIC and QFD methods effectively reduces defect levels and enhances the production quality of ECU casings. Keywords: DMAIC, QFD, ECU Casing, Die Casting, Defect Reduction Kerusakan ECU (Engine Control Unit) merupakan isu global yang berdampak pada keselamatan dan keandalan kendaraan, sehingga produsen terpaksa melakukan recall dalam jumlah besar. Seiring dengan pertumbuhan industri otomotif, khususnya kendaraan roda dua, kebutuhan akan komponen elektronik seperti casing ECU (Engine Control Unit) meningkat, sehingga proses produksi berbasis die casting aluminium dituntut memiliki tingkat presisi tinggi dan minim cacat. Penelitian ini bertujuan untuk mengidentifikasi dan memperbaiki jenis cacat tertinggi menggunakan metode DMAIC (Define, Measure, Analyze, Improve, Control) yang diintegrasikan dengan QFD (Quality Function Deployment). Berdasarkan data, tiga jenis cacat terbesar ditemukan yaitu porosity gate sebesar 51,18% (47.545 pcs), flowline sebesar 31,11% (28.904 pcs), dan cold shut sebesar 11,43% (10.618 pcs). Fokus perbaikan ditujukan pada porosity gate sebagai cacat dengan persentase tertinggi. Hasil analisis House of Quality menghasilkan enam prioritas perbaikan, yaitu penambahan pengecekan visual gate (75,83), metode deteksi burr area gate lebih optimal (75,23), optimasi titik spray (70,90), kontrol posisi tube spray saat running (57,70), peningkatan periode training operator (35,63), dan evaluasi hasil training (26,70). Korelasi positif kuat ditemukan pada pengecekan visual gate dan metode deteksi burr dengan kontribusi masing-masing sebesar 22,2% dan 22,0%. Setelah perbaikan, nilai DPMO (Defect Per Million Opportunities) menurun dari 14.592 DPMO menjadi 4.871 DPMO, dan nilai sigma meningkat dari 3,68 σ menjadi 4,08 σ. Hasil ini menunjukkan bahwa integrasi metode DMAIC (Define, Measure, Analyze, Improve, Control) dan QFD (Quality Function Deployment) mampu menurunkan tingkat cacat dan meningkatkan kualitas produksi casing ECU (Electronic Control Unit). Kata Kunci: DMAIC, QFD, Casing ECU, Die Casting, Defect Reduction
| Item Type: | Thesis (S2) |
|---|---|
| NIM/NIDN Creators: | 55323110003 |
| Uncontrolled Keywords: | DMAIC, QFD, Casing ECU, Die Casting, Defect Reduction |
| Subjects: | 600 Technology/Teknologi > 670 Manufacturing/Manufaktur, Pabrik-pabrik 700 Arts/Seni, Seni Rupa, Kesenian > 750 Painting and Paintings/Seni Lukis dan Lukisan > 758 Other Subjects/Subjel Lainnya > 758.6 Industrial and Technical Subjects/Subjek Industri dan Teknik 700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 794 Indoor Games of Skill/Permainan Ketangkasan dalam Ruangan > 794.8 Electronic Game/Permainan Elektronik |
| Divisions: | Pascasarjana > Magister Teknik Industri |
| Depositing User: | khalimah |
| Date Deposited: | 29 Oct 2025 06:42 |
| Last Modified: | 29 Oct 2025 06:42 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/99935 |
Actions (login required)
 |
View Item |
