DEVELOPMENT OF LOCOMOTIVE CC 203 MAINTENANCE STRATEGY USING RISK-BASED RELIABILITY CENTERED MAINTENANCE (RCM 3) METHOD

Trains play a vital role in Indonesia's transportation system as they help reduce exhaust emissions and are one of the most environmentally friendly modes of transportation. PT Kereta Api Indonesia (PT KAI) as the largest train operator in Indonesia has an important role in providing reliable and efficient train services. This research analyzes the maintenance strategy applied to locomotive CC 203 and provides recommendations to improve reliability and maintenance cost efficiency using the Risk-Based Reliability Centered Maintenance (RCM 3) method. The RCM analysis results show that by changing the maintenance interval from P24 to P12, P24, and P48 the reliability of the diesel engine system can be improved from 66,3% to 80,2%. In addition, the risk of failure mode occurrence decreases. Although the cost of the proposed maintenance increases, the benefits obtained are much greater including increased system reliability, decreased risk, and potential reduction in corrective maintenance costs. Therefore, this new maintenance recommendation is expected to assist PT KAI in maintaining reliable and efficient operations, as well as anticipating the risks associated with corrective maintenance costs.

Authors

Institutions

Publication Details

Journal
Jurnal Rekayasa Mesin
Published
2024-12-15
DOI
https://doi.org/10.21776/jrm.v15i3.1882
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPMENT OF LOCOMOTIVE CC 203 MAINTENANCE STRATEGY USING RISK-BASED RELIABILITY CENTERED MAINTENANCE (RCM 3) METHOD

Oky Arfiansyah, I Gusti Nyoman Wiratmaja
Jurnal Rekayasa Mesin
Management and Optimization Techniques
article

DEVELOPMENT OF LOCOMOTIVE CC 203 MAINTENANCE STRATEGY USING RISK-BASED RELIABILITY CENTERED MAINTENANCE (RCM 3) METHOD

Oky Arfiansyah, I Gusti Nyoman Wiratmaja
article en

Abstract

Trains play a vital role in Indonesia's transportation system as they help reduce exhaust emissions and are one of the most environmentally friendly modes of transportation. PT Kereta Api Indonesia (PT KAI) as the largest train operator in Indonesia has an important role in providing reliable and efficient train services. This research analyzes the maintenance strategy applied to locomotive CC 203 and provides recommendations to improve reliability and maintenance cost efficiency using the Risk-Based Reliability Centered Maintenance (RCM 3) method. The RCM analysis results show that by changing the maintenance interval from P24 to P12, P24, and P48 the reliability of the diesel engine system can be improved from 66,3% to 80,2%. In addition, the risk of failure mode occurrence decreases. Although the cost of the proposed maintenance increases, the benefits obtained are much greater including increased system reliability, decreased risk, and potential reduction in corrective maintenance costs. Therefore, this new maintenance recommendation is expected to assist PT KAI in maintaining reliable and efficient operations, as well as anticipating the risks associated with corrective maintenance costs.

Jurnal Rekayasa MesinVol. 15(3)
Bandung Institute of Technology (ID)
Openalex Percentile: Top 55%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DEVELOPMENT OF LOCOMOTIVE CC 203 MAINTENANCE STRATEGY USING RISK-BASED RELIABILITY CENTERED MAINTENANCE (RCM 3) METHOD — Oky Arfiansyah, I Gusti Nyoman Wiratmaja · Jurnal Rekayasa Mesin (2024) | TGRS Research Map | TGRS