Analisis Pengendalian Kualitas Menggunakan Metode Statistical Process Control pada Boom Excavator 20 di PT XYZ Batam

PT XYZ faces a high defect rate in the production of Boom Excavator 20, particularly in the Hydraulic Mining Shovel (HMS) component. This study aims to identify the causes of defects and provide recommendations for quality improvement using the Statistical Process Control (SPC) method. Data from August 2023 to July 2024 were collected and analyzed using SPC tools, including check sheets, control charts, Pareto diagrams, histograms, and cause-and-effect diagrams. The results revealed that spatter and material damage were the most common defects. Analysis identified four main contributing factors: poor electrode quality, operator skill and errors, improper welding methods, and unstable welding machines. Based on these findings, the study recommends improving electrode quality control, enhancing operator training, optimizing welding techniques, and performing regular machine maintenance. This research demonstrates the effectiveness of SPC in monitoring and improving the quality control processes of PT XYZ.

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Publication Details

Journal
Jurnal Teknik Ibnu Sina (JT-IBSI)
Published
2025-06-29
DOI
https://doi.org/10.36352/jt-ibsi.v10i1.1146
Primary Topic
Management and Optimization Techniques
Type
article
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article

Analisis Pengendalian Kualitas Menggunakan Metode Statistical Process Control pada Boom Excavator 20 di PT XYZ Batam

Ansarullah Lawi, Ahmad Rhamadhan, Amirah Nova Khairiyah Pane
Jurnal Teknik Ibnu Sina (JT-IBSI)
Management and Optimization Techniques
article

Analisis Pengendalian Kualitas Menggunakan Metode Statistical Process Control pada Boom Excavator 20 di PT XYZ Batam

Ansarullah Lawi, Ahmad Rhamadhan, Amirah Nova Khairiyah Pane
article en

Abstract

PT XYZ faces a high defect rate in the production of Boom Excavator 20, particularly in the Hydraulic Mining Shovel (HMS) component. This study aims to identify the causes of defects and provide recommendations for quality improvement using the Statistical Process Control (SPC) method. Data from August 2023 to July 2024 were collected and analyzed using SPC tools, including check sheets, control charts, Pareto diagrams, histograms, and cause-and-effect diagrams. The results revealed that spatter and material damage were the most common defects. Analysis identified four main contributing factors: poor electrode quality, operator skill and errors, improper welding methods, and unstable welding machines. Based on these findings, the study recommends improving electrode quality control, enhancing operator training, optimizing welding techniques, and performing regular machine maintenance. This research demonstrates the effectiveness of SPC in monitoring and improving the quality control processes of PT XYZ.

Jurnal Teknik Ibnu Sina (JT-IBSI)Vol. 10(1)
Universitas Batam (ID)
Openalex Percentile: Top 77%
Management and Optimization Techniques
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