On the Possibility of Improving the Mean Useful Life of Items by Eliminating Those with Short Lives

Watson, G. S.; Wells, W. T.

doi:10.1080/00401706.1961.10489946

Cited by 92 publications

(36 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, the probability P(LD−SS| −SS; , ) can be calculated. This probability is required in the warranty cost model shown in Equation (7). The probability of P(LD−SS| −SS; , ) for the various EST termination times, , are shown in Table VII.…”

Section: Calculating P(ld−ss| −Ss; )mentioning

confidence: 98%

Stress test optimization using an integrated production test and field reliability model

Honari

Donovan

Joyce³

et al. 2009

Quality & Reliability Eng

View full text Add to dashboard Cite

Numerous papers and texts have been written in the reliability literature regarding the determination of the optimum test duration for a production stress or a burn-in test. The techniques presented have largely been based on the identification of the change point at which infant mortality has largely been removed from the units. The time-on-test is typically the only factor that influences this decision. Few of these models have attempted to integrate the field performance or the influence of warranty costs into this decision. This paper proposes and validates a methodology that integrates the influence of the production test failures and the field performance including their respective costs into a single unified model. The objective is to identify a production test duration that minimizes the overall cost. A Weibull model is initially developed for the production test that incorporates the failure observations in different time segments of the test based on the ability to detect latent defects in the product. A separate Weibull model is then developed for the product's performance in the field that includes the lifetime of the unit. This paper identifies how both these Weibull models can be combined into a single model including both test and field costs with the objective of minimizing the overall cost. The advantage of the proposed technique is that it does not require one to track individual units from production through to the field in order to develop an integrated test and field cost model.

show abstract

Section: Calculating P(ld−ss| −Ss; )mentioning

confidence: 98%

Stress test optimization using an integrated production test and field reliability model

Honari

Donovan

Joyce³

et al. 2009

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Another ageing property for M OEEE distribution is the mean residual life (mrl), was introduced by Watson and Wells [20] to analyse burn-in problems, has been studied by reliabilists, statisticians, survival analysts and others. Its defined simply as the expected value of the remaining lifetime beyond an age t. If X is M OEEE rv with sf (4), The residual life rv at age t, denoted by X t = X − t|X > t. The mrl is defined formally as,…”

Section: Hazard Rate Function and Mean Residual Lifementioning

confidence: 99%

An Extended Exponentiated Exponential Distribution and its Properties

Abu-Youssef¹,

Mohammed²,

Sief³

2015

IJCA

View full text Add to dashboard Cite

In this paper, we introduce an extension of the exponentiated exponential(EE) distribution which offers a more flexible model for lifetime data. This model is generated by compound distribution with mixing exponential model. Several statistical and reliability properties of the proposed distribution are explored as the geometric extreme stability, sufficient conditions for the shape behavior of the density and hazard rate functions, the moments and mean residual life time. Estimation of unknown parameters using the maximum likelihood are obtained. Moreover, an application to a real data set is presented for illustrative purposes.

show abstract

“…Note, however, that rF(t) *I/mF(t) is usually the case. See Hall and Wellner (1981), RoIski (1975), Meilijson (1972), and Watson and wells (1961) In a multivariate setting, Lee (1985) shows the effect of dependence by total positivity on MRL functions.…”

Section: M(t) a (U-t)÷/f'(t) For Tmentioning

confidence: 99%

“…For ex~aple, Watson and Wells (1961) use MJL in studying burn-in. Kuo (1984) '(1980) and Gross and Clark (1975).…”

mentioning

confidence: 99%

12 Mean residual life: Theory and applications

Guess¹,

Proschan²

1988

Handbook of Statistics

145

View full text Add to dashboard Cite

On the Possibility of Improving the Mean Useful Life of Items by Eliminating Those with Short Lives

Cited by 92 publications

References 3 publications

Stress test optimization using an integrated production test and field reliability model

Stress test optimization using an integrated production test and field reliability model

An Extended Exponentiated Exponential Distribution and its Properties

12 Mean residual life: Theory and applications

Contact Info

Product

Resources

About