Method of Predicting, Estimating and Improving Mean Time between Failures in Reducing Reactive Work in Maintenance Organization

M. M., Noor and K., Kadirgama and E. H., Jamaluddin and M. M., Rahman (2009) Method of Predicting, Estimating and Improving Mean Time between Failures in Reducing Reactive Work in Maintenance Organization. In: Proceedings of National Conference on Postgraduate Research (NCON-PGR) 2009, 1st October 2009 , UMP Conference Hall, Malaysia. pp. 1176-1186., 8. ISSN 1985-9325(Print); 2180-1606 (Online)

[img]
Preview
PDF
29_NCON-PGR2009_M.M.Noor__Emi_Mean_Time_Between_Failure.pdf

Download (490kB)

Abstract

Mean time between failures (MTBF) is a simple way of quantifying a repairable system, subsystem, or component’s reliability. MTBF has been used for various decisions. Reliability of the system quantitatively determine by MTBF. Mathematical approach in quantifying MTBF is being used. Poisson distribution, Weibull model and Bayesian are the most popular approach used in developing MTBF model. MTBF is often confused with mean time to failure (MTTF), which MTTF applies to replaceable, rather than repairable. In current situation, most products designed as non-repairable unit, thus will eliminate varies level of repairing quality due to human error or level of competencies. This paper will explains the underlying complexities and misconceptions of MTBF and clarify in sequence what are the items and concerns that need to be consider in estimating MTBF.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Muhamad Mat Noor (M. M. Noor) Prof. Dr. Md Mustafizur Rahman (M. M. Rahman) Dr. Kumaran Kadirgama (K. Kadirgama)
Uncontrolled Keywords: Mean time between failures; Reliability; System failure
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Farah Najwa Subli
Date Deposited: 04 Feb 2014 07:21
Last Modified: 25 Jan 2018 05:52
URI: http://umpir.ump.edu.my/id/eprint/4205
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item