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Analisis Akar Masalah Noise pada Instrument Panel (Dashboard) Kendaraan Menggunakan Pendekatan Why-Why Analysis dan Fishbone Diagram Sifha Awaludin; Muh Amirudin; Yudi Prastyo
Journal of Engineering and Applied Technology Vol 1 No 2 (2025): December: 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/t7frmw90

Abstract

Noise issues in vehicle instrument panels remain a critical challenge in automotive interior quality, particularly in the form of rattle and squeak phenomena that affect customer perception and product reliability. This study examines the root causes of instrument panel noise through an integrated application of Why-Why Analysis and Fishbone Diagram. The research is based on an in-depth analysis of documented manufacturing practices, dimensional variability, material behavior, and assembly conditions commonly encountered in automotive production. The findings indicate that noise generation is primarily driven by inconsistent dimensional gaps resulting from process variability rather than design deficiencies alone. Why-Why Analysis reveals that inadequate fixture maintenance, inconsistent adherence to standard operating procedures, and limited sensitivity in quality control systems represent the most dominant root causes. The Fishbone Diagram further demonstrates how human factors, equipment condition, material characteristics, measurement limitations, assembly methods, and environmental conditions interact to amplify noise risks. By combining both analytical approaches, the study provides a comprehensive understanding of the mechanisms behind instrument panel noise and highlights the importance of holistic process control and continuous improvement strategies to achieve sustainable NVH performance.    
Menerapkan Metode PDCA dalam Menganalisis Strategi Optimasi dan Cost Down dalam Peningkatan Efisiensi Operasional di Perusahaan Otomotif Intan Mutiara I.; Alya Intan S.; Zharfan R.; Silwa A.; Yudi Prastyo
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: 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/e5e4n124

Abstract

This study examines the application of the Plan-Do-Check-Act (PDCA) method in analyzing optimization strategies and cost down initiatives to improve operational efficiency in an automotive company. A qualitative descriptive approach was employed using internal company documents, cost reports, and process improvement records related to packing activities. The findings reveal that the implementation of PDCA enabled the company to identify non-value-added activities, optimize packing materials, and redesign packaging processes without compromising product quality. As a result, annual packing costs were reduced from Rp 65,642,400 to Rp 21,694,500, generating total savings of Rp 43,947,900. The results demonstrate that systematic process evaluation and continuous improvement contribute significantly to cost efficiency and operational stability. Furthermore, the integration of PDCA with cost down strategies strengthens coordination between operational and financial functions, supporting more effective managerial decision-making. This study confirms that PDCA is a practical and replicable framework for enhancing operational efficiency and cost control in the automotive manufacturing industry.
Kontribusi Human dan Sistem Gudang terhadap Ketidak Sesuaian Stok Inventory Ferdian kosagiama; Muhamad Fian; Damar Eulan; Muhamad Ilham; Yudi Prastyo
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/56x2tv43

Abstract

Inventory record inaccuracy remains a critical challenge in warehouse operations due to the complex interaction between human factors and warehouse systems. This study aims to analyze the contribution of human and warehouse system factors to inventory stock discrepancies at PT. LOGISTIC’s warehouse using a descriptive–analytical case study approach. The research adopts the DMAIC framework combined with root cause analysis to identify operational weaknesses affecting inventory accuracy. The results indicate that human-related issues, including data input errors, non-compliance with standard operating procedures, and limited verification practices, constitute the dominant sources of inventory discrepancies. In parallel, warehouse system limitations such as delayed WMS synchronization, scanner reliability issues, and insufficient system validation mechanisms significantly contribute to data inaccuracies. The improvement in inventory accuracy from 97.45 percent in the first count to 98.55 percent in the second count demonstrates that manual verification remains essential, highlighting the reactive nature of existing control mechanisms. These findings suggest that effective inventory control requires an integrated approach that aligns human competence, standardized operational processes, and system optimization to achieve sustainable inventory accuracy.