International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Damage Analysis of Caterpillar C9 Acert Machine Using Root Cause Analysis Method at PT. XYZ

Ir. Eflita Yohana MT. Ph.D.Department of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, IndonesiaM.S.K Tony Suryo Utomo ST. MT. Ph.D.Department of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, IndonesiaMikhael Dixon DarmawanDepartment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, IndonesiaWahyu FirmansahDepartment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, IndonesiaMuhammad Surya Taris ZulwaqarDepartment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, IndonesiaReka Adiyasa CahyapalaDepartment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia

Vol 7 No 5 (2023): Volume 7, Issue 5, May 2023 | Pages: 171-182

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 26-05-2023

doi Logo doi.org/10.47001/IRJIET/2023.705020

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Abstract

Since the occurrence of the first industrial revolution in the 18th century, machines have become a part of human life. Like humans, machines also need treatment to keep running their activities as described, the treatment carried out on machines is often referred to as maintenance. Maintenance is an activity that can restore the function of a system or a system to the initial function. Machine maintenance can be broadly classified into two types namely unplanned maintenance and planned maintenance; planned maintenance can be further classified as preventive maintenance and predictive maintenance while breakdown maintenance is considered as unplanned maintenance. At PT. XYZ a maintenance has been carried out on the Caterpillar C9 Acert engine, and after the field team carried a diagnosis, it was found that several parts of the engine were damaged, which would result in damage to the Caterpillar C9 Acert engine. This study uses the RCA (root cause analysis) method assisted by 5 whys analysis and fishbone diagrams. The results of the 5 whys analysis show the facts causing the damage in a structured manner, and the results from the fishbone diagram show the factors causing the damage which include human factors, machines, materials, and methods, making it easier to find the basic causal factors. This study aims to identify the cause of the damage so that preventive measures can be taken to minimize the recurrence of this damage in the future. The results of the two methods of analysis can be concluded that the main cause of the damage suffered by the machine is the occurrence of human error on the part of the company that owns the machine, therefore more precise decisions and policies are needed from the company so that the damage does not occur again in the future.

Keywords

whys analysis, diagnosis, fishbone diagram, maintenance, root cause analysis


Citation of this Article

Ir. Eflita Yohana, MT. Ph.D., M.S.K Tony Suryo Utomo, ST. MT. Ph.D., Mikhael Dixon Darmawan, Wahyu Firmansah, Muhammad Surya Taris Zulwaqar, Reka Adiyasa Cahyapala, “Damage Analysis of Caterpillar C9 Acert Machine Using Root Cause Analysis Method at PT. XYZ” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 5, pp 171-182, May 2023. https://doi.org/10.47001/IRJIET/2023.705020

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. Stevenson WJ. Operations management. 13th ed. McGraw Hill education; 2018.
  2. Jimenez VJ, Bouhmala N, Gausdal AH. Developing a predictive maintenance model for vessel machinery. Journal of Ocean Engineering and Science. 2020 Dec 1; 5(4):358–86.
  3. Panwar N, Kumar S. Critical ranking of steam handling unit using integrated cloud model and extended PROMETHEE for maintenance purpose. Complex & Intelligent Systems. 2021 Feb; 7(1):367–78.
  4. Bokrantz J, Skoogh A, Berlin C, Wuest T, Stahre J. Smart Maintenance: a research agenda for industrial maintenance management. International Journal of Production Economics. 2020 Jun 1; 224.
  5. Nwanya SC, Udofia JI, Ajayi OO. Optimization of machine downtime in the plastic manufacturing. Cogent Engineering. 2017 Jan 1; 4(1).
  6. Franciosi C, di Pasquale V, Iannone R, Miranda S. Multi-stakeholder perspectives on indicators for sustainable maintenance performance in production contexts: an exploratory study. Journal of Quality in Maintenance Engineering. 2020; 27(2): 308–30.
  7. Amruthnath N, Foods T. Embedded Fault Class Detection Methodology for Condition Based Machine Monitoring and Predictive Maintenance Novel approach for predictive maintenance. 2019.
  8. Tambe PP. Selective Maintenance Optimization of a Multi-component System based on Simulated Annealing Algorithm. Procedia Computer Science. 2022; 200: 1412–21.
  9. Rokhforoz P, Fink O. Hierarchical multi-agent predictive maintenance scheduling for trains using price-based approach. Computers and Industrial Engineering. 2021 Sep 1; 159.
  10. Setiawan I, Bahrudin A, Arifin MohM, Fipiana WI, Lusia V. Analysis of Preventive Maintenance and Breakdown Maintenance on Production Achievement in the Food Seasoning Industry. OPSI. 2021 Dec 21; 14(2):253.
  11. Syafiq M, Cahyati S, Teknik J, Fakultas M. Analisis Sistem Perawatan Unit Caterpillar Track Type Tractor D5k Dengan Pendekatan Fault Tree Analysis. Vol. 4, Seminar Nasional Cendekiawanke. 2018.
  12. Salim SH, Mazlan SA, Salim SA. A Conceptual Framework to determine Medical Equipment Maintenance in Hospital Using RCM Method. MATEC Web of Conferences. 2019.
  13. Ilhami M. Aplikasi Pengolahan Data Karyawan Dan Jadwal Kegiatan Workshop, Training Pada PT. Trakindo Utama Banjarmasin. 2021.
  14. Jurnal R. Pengaruh Pemeliharaan Overhaul Turbocharger Terhadap Kinerja Mesin Unit VII PLTD Ampenan. Jurnal Powerplant, 5(1), 29-39. 2018.
  15. Li N, Wang X, Li C, Zhang Z, Zhang W. The overhauls technical innovation project optimization method of power grid device based on Life Cycle Asset Management. Energy Reports. 2020 Dec 1; 6: 1249–54.
  16. Darmawan MD. Data Lapangan. Tangerang; 2022.
  17. Molan G, Molan M. Theoretical Model for Accident Prevention Based on Root Cause Analysis with Graph Theory. Safety and Health at Work. 2021 Mar 1; 12(1):42–50.
  18. Khan A, MMS, HR, WRUH. Root Cause Analysis. 2021.
  19. Doskočil R, Lacko B. Root cause analysis in post project phases as application of knowledge management. Sustainability (Switzerland). 2019; 11(6).
  20. Awuah FK, Ogbonnaya UI. Grade 12 students’ proficiency in solving probability problems involving contingency tables and tree diagrams. International Journal of Instruction. 2020; 13(2):819–34.
  21. Rahmana A, Fauzy M, Suyono AM. 5 Why Analysis Implementation to Detect Root Cause of Rejected Product (Study at Aerospace Industry). Vol. 12, Turkish Journal of Computer and Mathematics Education. 2021.
  22. Yusuf A.K. Sources of Failures of Engineering Systems. Villanova Journal of Science, Technology and Management. 2019; 1(1).
  23. Serrat O. The Five Whys Technique. In: Knowledge Solutions. Springer, Singapore. 2017.
  24. Card AJ. The problem with 5 whys. BMJ Quality and Safety. 2017 Aug 1; 26(8):671–7.
  25. Coccia M. Fishbone diagram for technological analysis and foresight. International Journal of Foresight and Innovation Policy. 2020; 14(2–4):225–47.
  26. Tayal A, Kalsi NS, Gupta MK, Pimenov DY, Sarikaya M, Pruncu CI. Effectiveness improvement in manufacturing industry; trilogy study and open innovation dynamics. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7(1):1–21.
  27. Gartlehner G, Schultes MT, Titscher V, Morgan LC, Bobashev G v., Williams P, et al. User testing of an adaptation of fishbone diagrams to depict results of systematic reviews. Vol. 17, BMC Medical Research Methodology. BioMed Central Ltd.; 2017.
  28. Anonymous. Hydrolock. www.wikiwand.com Diakses: 26 Maret 2022.
  29. Saputra R, NH. Analisis Tegangan Connecting Rod pada Mobil Tipe X dengan Menggunakan Metode Numerik. Jakarta, Institut Sains dan Teknologi Nasional. 2017.
  30. Nazir A, Jeng JY. Buckling behavior of additively manufactured cellular columns: Experimental and simulation validation. Materials and Design. 2020 Jan 15; 186.
  31. Purwono H. Analisa Engine Overheat Pada Unit Komatsu Bulldozer D155A-6. Seminar Nasional Sains dan Teknologi 2017. 2017.
  32. Joseph AO. Effect of Heat Expansion in an Internal Combustion Automotive Engine. Rivers State, Ignatius Ajuru University of Education. 2017.
  33. Liang B, Yang X, Wang Z, Su X, Liao B, Ren Y, et al. Influence of randomness in rubber materials parameters on the reliability of rubber O-ring seal. Materials. 2019; 12(9).
  34. KFR Engineers. Impeller. www.indiamart.com Diakses 3 April 2022.
  35. Replacement Mechanical Seals and Components. www.springerparts.com. Diakses 13 April 2022.
  36. Wani PR. Design and Development of Heavy-duty Diesel Engines. Singapore, Springer Verlag. 2019.
  37. Martínez-Galán Fernández P, Guillén López AJ, Márquez AC, Gomez Fernández JFco, Marcos JA. Dynamic Risk Assessment for CBM-based adaptation of maintenance planning. Reliability Engineering & System Safety. 2022 Mar; 108359.
  38. Au-Yong CP. Relationship between Predetermined Maintenance Interval and Maintenance Performance. 2017.
  39. Kaming PF. Service life planning for electronics, mechanical and electrical components of a hotel building. MATEC Web of Conferences 195, 06010. 2018 Jan.
  40. Caterpillar. Operation & Maintenance Manual (SEBU7772-02-01).

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