Systematic Routine for Setting Confidence Levels for Mean Time to Failure (MTTF)

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Jimin Lee
Robert Yearout
Donna Parsons


There are circumstances where an item is intentionally tested to destruction.  The purpose of this technique is to determine the failure rate (λ) of a tested item.  For these items, the quality attribute is defined as how long the item will last until failure.  Once the failure rate is determined from the number of survivors and total time of all items tested the mean time to failure (MTTF) which is a typical statistic for survival data analysis issues.  MTTF is calculated by dividing one by failure rate (λ).  From this one obtains the reliability function R(t) = e-λt where t is time.  This allows the cumulative density function F(t) = 1- e-λt  to be determined.  This density function, f(t) = λe-λt is a negative exponential with a standard deviation (σ) = 1/λ.  Thus setting a warranty policy for the tested item is difficult for the practitioner.  An important property of the exponential distribution is that it is memory less.  This means its conditional probability follows P(T > s + t |T > s)=P(T > t) for all s, t ≥0.  The exponential distribution can be used to describe the interval lengths between any two consecutive arrival times in a homogeneous Poisson process.  The purpose of this research paper is to present a simple technique to determine a realistic confidence level. Using the same technique the warranty level for the tested item can be predicted.

Article Details

How to Cite
Lee, J., Yearout, R., & Parsons, D. (2014). Systematic Routine for Setting Confidence Levels for Mean Time to Failure (MTTF). Industrial and Systems Engineering Review, 2(1), 62-69.
Author Biography

Jimin Lee, University of North Carolina Asheville

Assiatant Professor, Department of Mathematics, University of North Carolina Asheville 


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