Analisis Pengurangan Defect Waste Pada Proses Metal forming di PT Dirgantara Indonesia Dengan Menggunakan Metode Lean Six Sigma

Rahmatillah, Hassan (2025) Analisis Pengurangan Defect Waste Pada Proses Metal forming di PT Dirgantara Indonesia Dengan Menggunakan Metode Lean Six Sigma. Undergraduate thesis, UPN "Veteran" Jawa Timur.

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Abstract

This empirical study systematically examines defect waste in the metal-forming production of the reff D nose component at PT Dirgantara Indonesia, where 2018–2023 data reveal a 4.6% average defect rate—equivalent to 15,745.65 DPMO and a sigma level of 4.03—far from the 1% (≤6,667 DPMO, 4.5 σ) quality target. A concise DMAIC (Define, Measure, Analyze, Improve, Control) framework was applied, integrating SIPOC mapping, Pareto analysis, Interpretive Structural Modeling (ISM), and 5 Whys Root-Cause Analysis to isolate five key defect drivers: raw-material variability, process-parameter deviations, machine wear, operator competency gaps, and environmental instability. Based on these insights, we propose targeted interventions—tighter material specifications, standardized parameter-optimization protocols, preventive-maintenance schedules, competency-based operator training, and environmental controls to drive defect reduction. Unlike prior research that applies Lean or Six Sigma tools in isolation, our novel integration of ISM structures causal interdependencies, producing a prioritized, aerospace grade improvement roadmap. Projected outcomes include a reduction below 10,000 DPMO (≥4.5 σ) and sustained compliance with stringent industry benchmarks, offering a replicable methodology for high-precision manufacturing environments.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Rusindiyanto, Rusindiyanto	NIDN0725026501	rusindiyanto.ti@upnjatim.ac.id
Thesis advisor	Winursito, Yekti Condro	NIDN0013089206	yekti.condro.ti@upnjatim.ac.id

Subjects:

T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering
T Technology > TS Manufactures
T Technology > TS Manufactures > TS 155-194 Production Management, Operations Management

Divisions:

Faculty of Engineering > Departement of Industrial Engineering

Depositing User:

Hassan Rahmatillah

Date Deposited:

03 Jul 2025 04:20

Last Modified:

03 Jul 2025 04:20

URI:

https://repository.upnjatim.ac.id/id/eprint/37380