Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Scripta Technica: Journal of Engineering and Applied Technology Inventa: Journal of Science, Technology, and Innovation
Immanuel Wijaya Huwae
Universitas Pelita Bangsa
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analysis of Delays in Production and Distribution Projects in Indonesia Using the Fishbone Diagram Method Rizal Deokosta; Muhammad Ifdol; Hilman Mubarik Aziz; Immanuel Wijaya Huwae; Yudi Prasetyo
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/nneckx45

Abstract

The problem of defects in automotive components remains a major challenge in the manufacturing industry, as it directly impacts product quality, production process efficiency, and customer satisfaction. This research aims to analyze the most frequent types of defects in one automotive component, identify their root causes, and provide applicable improvement solutions. The study was conducted using a Quality Control Circle approach with the Pareto Diagram to prioritize defect types based on their frequency and impact, and the Fishbone Diagram to identify root causes based on the 4M+1E categories (Man, Machine, Method, Material, Environment).  The results show that rust and out-of-standard defects are the most dominant, generally caused by a lack of operator understanding, unstable machine conditions, non-standard work methods, and suboptimal raw material quality and work environment. Improvement recommendations include operator training, machine repair, work method adjustments, and production environment supervision. The implementation of these solutions has proven to significantly reduce defect rates and improve product quality. The integration of Pareto and Fishbone diagrams has proven effective as an applicable quality control strategy in the automotive industry.
Analisis Penyebab Tingginya Reject Produk pada Area Warehouse Menggunakan Metode Pareto, 5 Why Analysis, dan Fishbone Diagram Rizal Deokosta; Muhammad Ifdol; Hilman Mubarik Aziz; Immanuel Wijaya Huwae; Yudi Prastyo
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/5ev5xv84

Abstract

The high rate of product rejection within the warehouse area compromises spatial efficiency and escalates logistics expenses in automotive manufacturing. This empirical study constructs a structured diagnostic interventional framework using Pareto charts, Fishbone diagrams, and 5 Why analysis to mitigate storage quality failures. Baseline evaluations revealed that the initial defect rate peaked at 5.20% (520 rejected units), significantly violating the 3.0% corporate tolerance threshold, with material damage and misplacement contributing a substantial 76.92% cumulative total. To address these layout and procedural root causes, engineering interventions were deployed, including warehouse redesign, shared storage, rigid pallet stacking limitations, standardized visual labeling, and operator competency training. Post intervention comparative analysis demonstrated an exceptional recovery in operational reliability, successfully driving the rejection rate down to 2.8% (280 units). This systematic reduction demonstrates the robust efficacy of integrating statistical quality metrics with spatial engineering to achieve sustainable operational excellence in modern industrial warehousing.  
Co-Authors Hilman Mubarik Aziz Muhammad Ifdol Rizal Deokosta Yudi Prasetyo Yudi Prastyo