Analisis Kendala Operasional Robot Welding Yaskawa AR2010 pada Proses Fabrikasi Bogie TB1014 Di PT.INKA (Persero)

Hadian, Muhammad Ramadhan Maulana (2025) Analisis Kendala Operasional Robot Welding Yaskawa AR2010 pada Proses Fabrikasi Bogie TB1014 Di PT.INKA (Persero). Project Report. [s.n.], [s.l.]. (Unpublished)

Text 2038221014-Project_Report.pdf - Accepted Version Restricted to Repository staff only Download (8MB) | Request a copy

Abstract

Robot welding Yaskawa AR2010 yang digunakan dalam pengelasan komponen bogie TB1014 dilengkapi fitur alarm sebagai sistem monitoring dan diagnostik otomatis untuk mendeteksi gangguan selama proses berlangsung. Laporan ini disusun berdasarkan rekapitulasi dan analisis error pada empat stasiun kerja (OP 771–OP 4) selama periode 10–23 April 2025, dengan data dikumpulkan harian dari dua sesi kerja (pagi dan malam) dan diolah menggunakan Microsoft Excel. Hasil analisis menunjukkan tiga error dengan frekuensi tertinggi, yaitu No Image, Arc Failure (9002), dan Shock Sensor (4110). Analisis lanjutan dilakukan menggunakan Root Cause Failure Analysis (RCFA) untuk menelusuri akar penyebab, dilanjutkan dengan Failure Mode and Effect Analysis (FMEA) untuk menentukan prioritas penanganan berdasarkan Risk Priority Number (RPN). Dua penyebab dengan RPN tertinggi yang ditemukan adalah kotoran nozzle yang jatuh ke area pengelasan (RPN 63, failure mode shock sensor) dan jarak material yang terlalu jauh (RPN 30, failure mode No Image). Rekomendasi perbaikan meliputi pembersihan nozzle secara rutin, pelatihan teknisi, serta penyesuaian jarak dan presisi penempatan material terhadap sensor guna menurunkan downtime dan meningkatkan kualitas hasil pengelasan.
===================================================================================================================================
The Yaskawa AR2010 welding robot used in welding bogie TB1014 components is equipped with an alarm feature that functions as an automatic monitoring and diagnostic system to detect disturbances during the welding process. This report is based on the recapitulation and analysis of errors at four work stations (OP 771–OP 4) during the period of April 10–23, 2025, with data collected daily from two work sessions (morning and night) and processed using Microsoft Excel. The analysis results show three error types with the highest frequency, namely No Image, Arc Failure (9002), and Shock Sensor (4110). Further analysis was conducted using Root Cause Failure Analysis (RCFA) to trace the root causes, followed by Failure Mode and Effect Analysis (FMEA) to determine handling priorities based on the Risk Priority Number (RPN). The two causes with the highest RPN identified were nozzle debris falling into the welding area (RPN 63, shock sensor failure mode) and material distance that was too far (RPN 30, No Image failure mode). Recommended improvements include routine nozzle cleaning, technician training, and adjustment of material distance and placement precision relative to the sensor in order to reduce downtime and improve welding quality.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Kata kunci: robot welding, alarm error, RCFA, FMEA, Risk Priority Number, Yaskawa AR2010 Keywords: robot welding, alarm error, RCFA, FMEA, Risk Priority Number, Yaskawa AR2010
Subjects:	T Technology > TF Railroad engineering and operation > TF270 Railway structures and buildings T Technology > TS Manufactures T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering)
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Muhammad Ramadhan Maulana Hadian
Date Deposited:	02 Jul 2026 08:37
Last Modified:	02 Jul 2026 08:37
URI:	http://repository.its.ac.id/id/eprint/134217

Actions (login required)

View Item