Analisis Distribusi Waktu Kerusakan Mesin pada Lini Produksi Cylinder Comp K-XX (Studi Kasus: PT XYZ)

Gidion Karo-Karo, Panca Jodiawan

Abstract


Technologies development has led industries to the usage of machinery. It certainly will give more output to increase the responsiveness of customers’demand. However, as a machine has a lot of advantages, it will also bear some disadvantages which one of them is downtime issue. A big amount of downtime in a machine will decrease the production overall efficiency. Efforts have been made since a long time ago to overcome downtime issue which one of them that is frequently used is preventive maintenance. Preventive maintenance planning can be implemented if reliability assessment has been made on the related machine, so the preventive maintenance interval can be determined. At XYZ’s corporation, there are two machines which were determined as the object for these report, RB037 and HO012P. Time Between Failure (TBF) of RB037 follows the normal distribution with mean equals to 171,22, standard deviation equals to 107,003, and has an increasing hazard rate. In the other side, HO012P follows the Weibull distribution with shape characteristics equals to 3,067 and scale characteristics equals to 577,96 and has an increasing hazard rate too. Between these two machines, RB037 has bigger hazard rate than HO012P, so further preventive maintenance should be planned well.

Keywords: Downtime, Preventive Maintenance, Reliability.


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References


Caldeira, Duarte Jose dan Soares Carlos Guedes. 2007. Optimization of the Preventive Maintenance Plan of a Series Components Systems with Weibull Hazard Function. RTA 3-4. Hal 33.

Campbell, John D. dan Andrew K.S. Jardine. 2001. Maintenance Excellence Optimizing Equipment Life-Cycle Decisions. New york: Marcell Dekker.

Chouhan et.al. 2013. Implementing a Preventive Maintenance Planning Model on an Ageing and Deteriorating Production System. International Journal of Technology Innovations and Research Vol. 4. Hal 1 -24.

Ebeling, Charles E. 1997. An Introduction to Reliability and Maintainability Engineering. Singapore: McGraw-Hill International Editions.

Jardine, A.K.S. 1973. Maintenance, Replacement, and Reliability. Great Britain: Pitman Press.

Kolodziejski, Marcin. 2011. Failure Finding Tasks in Reliability Centered Maintenance. Scientific Journals of Maritim University of Szczecin vol 28. Hal 53 – 59.

Louit et.al. 2009. A Practical Procedure for The Selection of Time To Failure Models Based On The Assessment of Trends in Maintenance Data. Reliability Engineering and System Safety Vol. 94. Hal 1618 – 1628.

Moghaddam, Kamran S. dan John S. Usher. 2010. Optimal Preventive Maintenance and Replacement Schedules with Variable Improvement Factor. Journal of Quality in Maintenance Engineering Vol. 16 No. 3. Hal 271 – 287

O’Connor, Patrick dan Andre Kleyner. 2012. Practical Reliability Engineering. United Kingdom: John Wiley & Sons.

Sari, Weny Yuliana dan Yudha Prasetyawan. 2012. Perancangan Kebijakan Perawatan dan Penentuan Persediaan Spare Part di Sub Sistem Evaporasi Pabrik Urea Kaltim – 3 PT Pupuk Kalimantan Timur. Jurnal Teknik ITS Vol. 1, No. 1 (Sept. 2012).

Walpole, Ronald E., Raymond H. Myers, Sharon L. Myers, dan Keying Ye. 2012. Probability & Statistics for Engineers and Scientists 9th ed. Boston: Prentice Hall.

Widyaningsih, Sri Astuti. 2011. Perancangan Penjadwalan Pemeliharaan pada Mesin Produksi Bahan Bangunan untuk Meningkatkan Kehandalan Mesin dengan Metode Reliability Centered Maintenance (RCM). Skripsi. Depok: Teknik Industri Universitas Indonesia.

Zhou et. al. 2007. Reliability – centered predictive maintenance scheduling for a continuously monitored system subject to degradation. Reliability Engineering and System Safety Vol.92. Hal 530 – 534.

Zilka, Ing. Miroslav. 2014. Methodology for Selecting The Appropriate Maintenance Strategy for Production Machines. 3rd Conference, Zenica, B&H, June 11 – 13.




DOI: http://dx.doi.org/10.30813/jiems.v9i1.129

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