The RCM method is used to identify critical components and design maintenance strategies for the head truck

Authors

  • N Nelfiyanti Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Jakarta
  • Ahmad Shah Hizam Faculty of Resilience, Rabdan Academy 65, Al Inshirah, Al Sa’adah
  • Azizul Qayyum bin Basri Fakulti Teknikal dan Vokasional, Universiti Pendidikan Sultan Indris
  • Nik mohamed Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang
  • Andry Setiawan Department of Industrial Engineering, Faculty of Engineering, Institut Sains dan Teknologi Nasional
  • Hariyanto Hadi Kusumo Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Jakarta

Keywords:

Head truck engine, MTTF, MTTR, Reliability centered maintenance (RCM)

Abstract

As a private company engaged in the supply and maintenance of port equipment, PT XYZ faces operational challenges due to the high downtime of heavy equipment used. Based on 2019 data, Head Truck is the tool with the largest total disruption hours of 7,135 hours or 72% of the total downtime of the three main types of equipment, followed by RTG of 830 hours (8%) and QCC of 1,970 hours (20%). The high downtime has a direct impact on reducing operational efficiency and losses for the company. In order to improve the reliability of the Head Truck engine, an analysis was conducted using the Reliability Centered Maintenance (RCM) method which includes system identification, function and failure analysis, to the application of Failure Mode and Effect Analysis (FMEA) to find critical components and recommendations for optimal maintenance actions. The results of MTTF (Mean Time To Failure) and MTTR (Mean Time To Repair) calculations show that the crankshaft Assy component has the fastest repair time, which is an average of 2.16 hours, while the piston Assy component requires the longest repair time of around 5.75 hours. With this data, a periodic maintenance schedule is created that is adjusted to the frequency of damage and recovery time of each component, so that it can help minimize the risk of downtime and increase the operational effectiveness of the Head Truck engine.

References

F. I. Ojadi and S. F. Maiyaki, “Logistics Bottlenecks: Port congestion, Shipping Delays, and the Inflationary Effects of Transportation Challenges,” in Supply Chain Disruptions and Impact on Global Inflation, IGI Global Scientific Publishing, 2025, pp. 115–136.

J. Shan, M. Zhang, D. Zhang, X. Zhou, H. Li, and B. Wang, “Container Cranes,” in Handbook of Port Machinery, Springer, 2024, pp. 451–678.

M. Yazdi, “Maintenance strategies and optimization techniques,” in Advances in computational mathematics for industrial system reliability and maintainability, Springer, 2024, pp. 43–58.

M. Celestin, “How Predictive Maintenance in Logistics Fleets Is Reducing Equipment Downtime and Operational Losses,” Brainae J. Business, Sci. Technol., vol. 7, no. 10, pp. 1023–1033, 2023.

J. Geisbush and S. T. Ariaratnam, “Reliability centered maintenance (RCM): literature review of current industry state of practice,” J. Qual. Maint. Eng., vol. 29, no. 2, pp. 313–337, 2023.

D. S. I. A. Bin Carman and A. Zainuri, “Analisis Perawatan pada Unit Dump Truck FMX 440 Kapasitas 30 Ton dengan Metode Reliability Centered Maintenance (RCM),” Al-DYAS, 2024, doi: 10.58578/aldyas.v3i3.3642.

A. Fiatno and D. Denur, “PENERAPAN RELIABILITY CENTERED MAINTENANCE (RCM) PADA POROS RODA DEPAN ISUZU TYPE cxz-51,” J. Tek. Ind. Terintegrasi, 2018, doi: 10.31004/jutin.v1i1.72.

F. Fathurohman and S. Triyono, “RCM (RELIABILITY CENTERED MAINTENANCE): THE IMPLEMENTATION IN PREVENTIVE MAINTENANCE (CASE STUDY IN AN EXPEDITION COMPANY),” EKOMABIS J. Ekon. Manaj. Bisnis, 2020, doi: 10.37366/ekomabis.v1i02.29.

J. Moubray, “Reliability-Centered Maintenance,” 1991.

B. Samanta, B. Sarkar, and S. Mukherjee, “Reliability centred maintenance (RCM) for heavy earth-moving machinery in an open cast coal mine,” Cim Bull., vol. 94, pp. 104–108, 2001.

D. Galatia, “Exploring Factors that Affect Reliability of Open Pit Heavy Mining Dump Trucks: A Case of Bisha Mining Share Company, Eritrea,” 2020.

G. Marchiori, F. Formentin, and F. Rampini, “Reliability-centered maintenance for ground-based large optical telescopes and radio antenna arrays,” vol. 9145, 2014, doi: 10.1117/12.2057593.

Y. Tang, S. Tan, Y. Zhou, Y. Huang, and D. Zhou, “An improved risk priority number model for FMEA based on belief measure,” 2023 35th Chinese Control Decis. Conf., pp. 3940–3945, 2023, doi: 10.1109/CCDC58219.2023.10326506.

M.-S. Huang, “An Approach for Improvement of Risk Priority Number in FMEA,” DEStech Trans. Comput. Sci. Eng., 2017, doi: 10.12783/DTCSE/ITME2017/8010.

E. Owino, L. Yong-Kwan, and J. J. Cheon, “Systems Engineering approach to Reliability Centered Maintenance of Containment Spray Pump Ohaga,” 2013.

J. Karajagikar and B. Sonawane, “Reliability-Centered Maintenance (RCM) Approach for a Process Industry: Case Study,” Lect. Notes Multidiscip. Ind. Eng., 2020, doi: 10.1007/978-981-15-4550-4_26.

D. A. González-López and M. Mago-Ramos, “Preventive maintance plan for SKF Latin Trade SAS equipment,” DYNA, 2024, doi: 10.15446/dyna.v91n233.112527.

A. Nithin, A. Obisesan, S. Sriramula, and T. Ebinum, “Reliability and Cost Estimation for Maintenance Planning of Oil and Gas Assets,” Vol. 2 Struct. Safety, Reliab., 2021, doi: 10.1115/omae2021-63119.

N. Sembiring and D. V. K. Deli, “The strategy improvement of the engine maintenance,” IOP Conf. Ser. Mater. Sci. Eng., vol. 852, 2020, doi: 10.1088/1757-899X/852/1/012115.

S. Nadarajan, “Effective maintenance strategy to improve performance through RCM concept,” 36th Int. Electron. Manuf. Technol. Conf., pp. 1–9, 2014, doi: 10.1109/IEMT.2014.7123145.

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Published

2025-07-19

Issue

2025: International Conference on Engineering, Construction, Renewable Energy, and Advanced Materials

Section

Articles