Analisis Performansi Nakayama Plant Menggunakan Metode Ramd di PT XYZ

  • Sheila Sekar Soka Universitas Telkom
  • Fransiskus Tatas Dwi Atmaji Universitas Telkom
  • Marina Yustiana Lubis Universitas Telkom


PT XYZ is one of the manufacturing industries engaged in the manufacture of spare parts on a national scale. One of the products produced by PT XYZ is magnifold intake pipe which is made in nakayama plant. Based on data from nakayama plant obtained system breakdown structure of the system namely Sand Core, Furnace Gravity, Finishing, Machining, Leaktest. Of the five subsystems will be selected critical subsystems based on the results of RAMD analysis. The result of the data processing that has been done is known that the Reliability value of the system at the time of t = 8 hours is 63.92%. Availability markov process value is 98.546%. The average value of Maintainability at the time of t = 8 hours is 98.951%. The lowest Dependability and Dependability Ratio values are in the Gravity Furnace subsystem with values of 95.634% and 131.759. Therefore, it can be known that the critical subsystem in the system is gravity furnace so it needs to be maintained regularly and scheduled.

Keywords: Reliability, Availability, Maintainability, Dependability, Markov Process


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Ahmadi, S., Moosazadeh, S., Hajihassani, M., Moomivand, H., & Rajaei, M. (2019). Reliability, availability and maintainability analysis of the conveyor system in mechanized tunneling. Measurement.

Atmaji, F. T. (2015). Optimasi Jadwal Perawatan Pencegahan Pada Mesin Tenun Unit Satu di PT KSM Yogyakarta. Jurnal Rekayasa Sistem & Industri, 7-11.

Calixto, E. (2016). Gas and Oil Reliability Engineering (Second Edition). Gulf Professional Publishing.

Choudhary, D., Tripathi, M., & Shankar, R. (2019). Reliability, availability and maintainability analysis of a cement plant: a case. International Journal of Quality & Reliability Management.

Dhillon, B. (2006). Maintainability, Maintenance, and Reliability for Engineers.

Ebeling, C. E. (1997). An Introduction to Reliability and Maintainability Engineering. Unites States : Mc-Graw Companies.

Ertas, A. (1993). The Engineering Design Process. New York: Wiley.

I., Q. A., & Reza, K. A. (2014). A risk-based availability estimation using Markov method. International Journal of Quality & Reliability Management.

Kumar, A., & Ram, M. (2021). The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling. Candice Janco.

Lienig, J., & Bruemmer, H. (2017). Fundamentals of Electronic Systems Design. Springer International Publishing.

Mehmood, R., & Lu, J. A. (2011). Compulation Markovian Analysis of Large System. Journal of Manufacturing Technology Management.

Nainggolan, D. J., Alhilman, J., & Supratman, N. A. (2017). Performance Assessment Based on Reliability of Weaving M251 Machine Using Reliability, Availability & Maintainability (RAM) and Cost of Unreliability (COUR) Methods (Case Study at PT Buana Intan Gemilang). International Journal of Innovation in Enterprise System.

Singh, A. A. (2015). Performance modeling of the skim milk powder production system of a dairy plant using RAMD analysis. International Journal of Quality and Reliability Management.

Tsarouhas, P. (2019). Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line. Journal of Quality in Maintenance Engineering.

Wohl, J. G. (1966). System Operational Readiness and Equipment Dependability. IEEE Transactions on Reliability.

How to Cite
Soka, S. S., Atmaji, F. T. D., & Lubis, M. Y. (2021). Analisis Performansi Nakayama Plant Menggunakan Metode Ramd di PT XYZ. Jurnal Teknik, 19(2), 130-139.
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