Maintenance Of Decision Engineering Programs In The Distribution Of Sea Water Pump In PT. KMI With The RCM-II Approach

Taiyeb Ibrahim, Rosmiati Rosmiati

Abstract


During World War II, demand for goods and aspects of logistics speed began to increase while the availability of workers dropped dramatically. This creates the mechanization and automation of the production of goods so that the industry begins to depend on machinery and causes engine downtime to be a major concern. Similarly, if the assets fail not only the economic aspect which adversely affected but the environmental aspects and safety of life threatened. This condition causes the maintenance program to be planned with the preventive maintenance concept being the flagship program. But this condition creates additional operational costs for the industry which are often considered not as profit producers. Until now, the field of maintenance management experienced rapid development compared to other management fields. The global industrial movement with just-in-time (JIT) concepts, efficient logistics, customer satisfaction and others forces industries in the world not to mention Indonesia to keep physical assets working according to the expectations above. So that a strategic framework is created to ensure that physical assets continue to operate in accordance with these goals and expectations. This framework started from the aviation industry known as MSG3 and then spread to industries outside of airlines known as Reliability-Centered Maintenance (RCM), Moubray 2011. The success of applying RCM in the industry has been widely reported by previous research, including: Singh and Suhane, 2010: In RCM journal, Availability of Centrifugal Pump on the Base of Weibull Analysis: produces motivation and teamwork and with the Weibull approach in RCM, maintenance tasks can save material costs 35% - 65%. Ogaji and Robert, 2006: "Improving a culture of improvement work that focuses on proactive maintenance". Oyj and Ekholm, 2009 in the journal "Feasibility Study of Reliability Centered Maintenance Process", RCM produces a database for numerical format statistical purposes. Petrovic, et al., 2014: Pump failure can be prevented by up to 61% in selecting maintenance tasks based on the mode level. Afefy, 2010 in the Reliability-Centered Maintenance Methodology and Application case study produced: RCM approach Maintenance costs decreased from $ 295,200 / year to $ 220,800 / year, reduced total labor costs 25.8%, PM savings 80% of total downtime and Savings of 22.17% for spare parts costs. Makwana and Pancholi, 2014 in the case study "Implementation of Reliability Centered Maintenance (RCM) and design out for Reliability" concluded: 12% -15% uptime increase and setup and failure time reduction.

Keywords


Availability; FMEA; framework; LTA; maintenance profit; MTTR; RCM II; Reliability and Weibull

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References


Abid, M., Ayub, S., Wali, H., and Tariq, M. N. (2014). Reliability Centered Maintenance Plan for the Utility Section of a Fertilize Industry: A Case Study. The International Study. The International Journal of Science and Advanced Technology, 4(3), 9-16.

Afefy, I. H. (2010). Reliability - centered maintenance methodology and application: a case study. Engineering Journal, 2(11), 863-872.

Allen, B. J. (2004) . The Use Of Weibull In Defect Data Analysis. Warwick Group Publishing.

Alwi, R. (2016). Reliability Centered Maintenance Dalam Perawatan FO Service Pump Sistem Pump Sistem Bahan Bakar Kapal Ikan. Jurnal Riset Teknologi kelautan, 14(1), 77-86.

Dantes, N. (2012). Metode Penelitian. Andi Jogyakarta.

Dhillon, B.S. (2006). Maintainability, Maintenance, and Reliability for Engineers. Bacon Raton, Florida: CRC Press

Eti, M. C., Ogaji, S. O. T., & Probert, S. D. (2006). Reducing the cost of preventive maintenance (PM) through adopting a proactive reliability focused culture. Applied energy, 83(11), 1235-1248.

Kołodziejski, M. (2011). Failure Finding Tasks in Reliability Centred Maintenance. Scientific Journals, 28(100), 53-59.

Lindley R. & Keith M. (2002). Maintenance Enginering Handbook, Sixth Edition. McGraw-Hill Publishing.

Makwana, R., & Pancholi, N. (2014). Implementation of Reliability centered maintenance (RCM) and design out for reliability (DOFR) approaches to milk powder drying unit of dairy plant – a case study. International Journal for Scientific Research & Development. 2(4), 217-221.

Moubray, J. (2011). Reliability - centered maintenance (RCM-II). PT. Relogica Indonesia.

Mudiastuti, R. D. (2014). Maintenance Activity Planning on Cenrtifugal Pump System With Failure Modes and Effects Analysis (Fmea) Method Based on Fuzzy Cost Estimation and Reliability Centered Maintenance II Method. Australian Journal of Basic and Applied Sciences, 8(13), 34-40.

Naik, B. D., & Soni, P. K. (2016). Application of Reliability Centered Maintenance on Horizontal Boring Machine - A Case Study. International Journal of Advanced Engineering Research and Science, 3(7), 17-34.

Nilsson, J., Wojciechowski, A., Stromberg, A. B., Patriksson, M., & Bertling, L. (2009). An maintenance optimization model for shaft seals in feed-water pump systems in nuclear power plants. In PowerTech, IEEE Bucharest (pp. 1-8).

Nosal, N. P. (2016). High Vibration Problem On Sea Water pump. Turn Around Specialty Report PT. KMI. 1(1) 1-12.

Peters, R. (2014). Reliable maintenance planning, estimating, and scheduling. Gulf Professional Publishing.

Petrovic, Z., Car, Z., Radicevic, B., Sikulec, L., & Grkovic, V. (2014) Implementation of the RCM Methodology on the Example of City Waterworks. The International Journal Heavy Machinery, 7(3), 38-47.

Puthillath, B., & Sasikumar, R. (2012). Selection of maintenance strategy using failure mode effect and criticality analysis. International Journal of Engineering and Innovative Technology, 1(6), 73-79.

Rausand, M., & Arnljot, H. (2004). System reliability theory: models, statistical methods, and applications (Vol. 396). John Wiley & Sons.

Saravanan, Altaf, M., & Udaiappan, M. (2014). Profitable Condition Monitoring And Conditions Apply. International Journal Condotion Monitoring, 15(54), 133-142.

Sari, W., & Prasetyawan, Y. (2012). Perancangan Kebijakan Perawatan dan Penentuan Persediaan Spare Parr di Sub Sistem Evaporasi Pabrik Urea Kaltim - 3 PT. Pupuk Kalimantan Timur. Jurnal Teknik ITS, 1(1), 141-146.

Singh, D., & Suhane, A. (2015). Study of Centrifugal Pump sing Failure Mode Effect & Critical Analysis Based on Fuzzy Cost Estimation: A Case Study. International Journal of Scientific Research (IJSR), 4(7), 19-22.

Yam, R. C. M., Tse, P. W., Li, L., & Tu, P. (2001). Intelligent predictive decision support system for condition-based maintenance. The International Journal of Advanced Manufacturing Technology, 17(5), 383-391.


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