DMB Machine Reliability Analysis Through Failure Mode Effect Analysis and Reliability Block

Annisa Indah Pratiwi, Boyman Sihombing, Muhamad Sayuti, Nugraha Pradana, Dewih Adetia

Abstract


The production process is carried out continuously, it will result in decreased machine capability. When a component on a machine is damaged resulting in the production process being interrupted, the machine's performance depends on the Reliability of the machine or the component. The DMB machine is a sorting machine at PT Etex Building Performance Indonesia, because it is the main machine in the production process and DMB has a high downtime in 2019. Failure Mode effect And Analysis, aims to determine the machine failure factor. Reliability Block Diagram, to determine machine reliability. The results of research with FMEA are Pneumatic with RPN value 60, Decelerator value RPN 64, Accelerator value RPN 56, Hydraulic Table Safety Lock value RPN 48, Roller value RPN 48 Bearing Lifting value RPN 36, Sensor Transfer Dolly value RPN 48, Motor Transfer Template RPN value 36, the Suction Cup is the component that has the lowest RPN value with a value of 30, from the Reliability Block Diagram (RBD) calculation, the DMB machine reliability opportunity value is obtained including 88.42% of the production process for 23 hours, 42.25% of the process for 161 hours of operation. , and decreased by 2.70% when used for 674 hours of operation. Recommended action is to perform maintenance actions with the type of daily care and weekly maintenance.


Keywords


failure; preventive maintenance; reliability

References


Harpster, R. A. (2016). How FMEAs can be the cornerstone of ISO 2001: 2015 compliant risk based quality management system. In 2016 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-5). IEEE.

Jakkula, B., Mandela, G. R., & SN, M. C. (2020). Reliability block diagram (RBD) and fault tree analysis (FTA) approaches for estimation of system reliability and availability–a case study. International Journal of Quality & Reliability Management.

Kurniawan, F. (2013). Manajemen perawatan industri. Yogyakarta: Graha Ilmu.

Liu, H. C., You, J. X., Ding, X. F., & Su, Q. (2015). Improving risk evaluation in FMEA with a hybrid multiple criteria decision smaking method. International Journal of Quality & Reliability Management.

Pranoto, H. (2015). Reliability Centered Maintenance. Jakarta: Mitra Wacana media.

Rajput, B. S., & Chourey, V. (2015). Uml based approach for system reliability assessment. International Journal of Computer Applications, 131(2), 0975-8887.

Rasindyo, M. R., Leksananto, K., & Helianty, Y. (2015). Analisis Kebijakan Perawatan Mesin Cincinnati Dengan Menggunakan Metode Reliability Centered Maintenance Di Pt. Dirgantara Indonesia. REKA INTEGRA, 3(1).

Ramesh, C. (2012). Antibacterial activity of curcuma longa rhizome extracton pathogenic bacteria.

Yanti, S., Idris, I., Hermawan, I., & Ibrahim, I. (2018). Estimasi Waktu Perawatan Preventif Mesin Produksi Pada PTPN V SEI Tapung. Jurnal Teknovasi: Jurnal Teknik dan Inovasi, 5(1), 54-65




DOI: https://doi.org/10.31315/opsi.v14i1.4745

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Sekretariat :
Jurusan Teknik Industri
FTI UPN "Veteran" Yogyakarta
d.a Jalan Babarsari 2 Tambakbayan Yogyakarta 55281
Telp. (0274) 486256
Website http://jurnal.upnyk.ac.id/index.php/opsi
email : jurnal.opsi@upnyk.ac.id

 

indexed by:

 
 
 


Lisensi Creative Commons
This work is Licensed Under a Creative Commons Attribution 4.0 International license.

View My Stats