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Development of Maintenance Scheduling Model for the Safety Operational of Ship Machinery

*Dhimas Widhi Handani  -  Institut Teknologi Sepuluh Nopember, Indonesia
Makoto Uchida  -  Kobe University, Japan
Open Access Copyright (c) 2024 Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan
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Abstract

Risk management of ship machinery is an important issue since machinery out of order can run into danger, especially for ships at sea. This paper implements risk based maintenance (RBM) to minimize the frequency and consequences of ship machinery failure. Not only the common steps of RBM, such as identification of problem, risk assessment, risk evaluation, and maintenance planning are conducted, but this paper also proposes a new model called ship position estimation. The preliminary identification i.e. identification of failure causes and symptoms as well as the history of failure time will be looked at first. In the risk assessment, quantification of the consequences of failure (Cof) considers system performance loss, while the probability of failure (Pof) is obtained from the reliability analysis of the failure time history. Risk evaluation compares the result of the risk assessment with the risk acceptance criteria in order to determine the level of risk. The proposed model of ship position estimation recognizes the ship position on the voyage when the analyzed machinery is in a high level of risk. Maintenance planning is further carried out to keep the machinery under the risk acceptance level. This paper utilizes a method called system dynamics to create simulation for each step of the RBM. As a case study, the parts of the pumps in the main engine cooling system are analyzed. The result of this paper is a proposed maintenance interval which is reasonable enough compared with the standard for pump maintenance. Additionally, the ship position is included when the pump reaches a high level of risk.

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Keywords: Risk Based Maintenance (RBM), Ship position estimation, System dynamics, Cooling Pump, Ship’s main engine

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  1. Artana KB, Ishida K (2002a) Spreadsheet modeling of optimal maintenance schedule for components in wear-out phase. Reliability Engineering and System Safety 7: 81-91
  2. Khan FI, Haddara MM (2003) Risk –based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. J Loss Prev Process Ind 16: 561-573
  3. Arunraj NS, Maiti J (2007) Risk-based maintenance - techniques and applications. J Hazard Mater 142: 653–661
  4. Khan FI, Haddara MR (2004) Risk-based maintenance of ethylene oxide production facilities. J Hazard Mater 108: 147-159
  5. Krishnasamy L, Khan F, Haddara M (2005) Development of a risk-based maintenance (RBM) strategy for a power-generating plant. J Loss Prev Process Ind 18: 69-81
  6. Bertolini M, Bevilacqua M, Ciarapica FE, Giacchetta G (2009) Development of risk-based inspection and maintenance procedures for an oil refinery. J Loss Prev Process Ind 22(2): 244–253
  7. Fujiyama K, Nagai S, Akikuni Y, Fujiwara T, Furuya K, Matsumoto S, Takagi K, Kawabata T (2004) Risk-based inspection and maintenance systems for steam turbines. Int J Press Vessel Pip 81: 825–835
  8. Masataka Y, Jun T, Hidenari B, Toshiharu K, Akio F (2004) Application of risk-based maintenance on materials handling systems. IHI Eng Rev 37(2): 52–58
  9. Dey PK (2001) A risk-based maintenance model for inspection and maintenance of cross-country petroleum pipeline. J Qual Maint Eng 7(1): 25–41
  10. Dey PK, Ogunlana SO, Naksuksakul S (2004) Risk-based maintenance model for offshore oil and gas pipelines: a case study. J Qual Maint Eng 10(3): 169–183
  11. Artana KB, Ishida K (2002b) Optimum replacement and maintenance scheduling process for marine machinery in wear-out phase: a case study on main engine cooling pumps. J Kansai Soc Nav Archit 238: 173-184
  12. Handani DW, Ishida K, Nishimura S, Hariyanto S (2011b) System dynamics simulation for constructing maintenance management of ship machinery. Proc IEEE Conf Ind Eng and Eng Manag 1549-1553
  13. Handani DW, Uchida M (2014) Modeling optimum operation of ship machinery by using system dynamics. Journal of Japan Institute of Marine Engineering 49(1): 132-141
  14. Forrester JW (1958) Industrial dynamics: a major breakthrough for decision makers. Harv Business Rev 36 (4): 37-66
  15. Baliwangi L, Arima H, Artana KB, Ishida K (2007) Simulation on system operation and maintenance using system dynamics. Journal of Japan Institute Marine Engineering 42. No. 5
  16. Fan CY, Fan PS, Chang PC (2010) A system dynamics modeling approach for a military weapon maintenance supply system. Int J Product Econ 128(2): 457-469
  17. Mobley RK (1999) Root Cause Failure Analysis. Butterworth-Heinemann, Woburn
  18. Bloch HP (1990) Root cause analysis of five costly centrifugal pump failures. Proc. of 7th Int Pump Users Symp. Turbomach Lab. 115-124
  19. DNV-RP-G101 (2010) Risk based inspection of offshore topsides static mechanical equipment. Det Norske Veritas

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