Development of reliability acceptance sampling plan for the exponential lifetime distribution under periodic inspection

Development of reliability acceptance sampling plan for the exponential lifetime distribution under periodic inspection

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Article ID: iaor19971825
Country: South Korea
Volume: 21
Issue: 1
Start Page Number: 115
End Page Number: 129
Publication Date: Apr 1996
Journal: Journal of the Korean ORMS Society
Authors: ,
Keywords: inspection, statistics: sampling
Abstract:

A Reliability Acceptance Sampling Plan (RASP) is developed for testing the exponential mean lifetime under the periodic ( i.e., equally-spaced) inspection and Type I censoring. Under the periodic inspection, the exact sampling distribution of maximum likelihood (ML) estimator of mean can not be derived. Hence sample size and acceptance criterion are determined by the algorithm proposed on the basis of Monte Carlo simulation such that the producer’s and consumer’s risks are satisfied for given censoring time and number of inspections. In addition, the developed RASP is compared to other RASP’s designed under the continuous inspection and under the periodic inspection in terms of sampling size, OC curve, and expected completion time. The effects for the RASP by the chosen inspection scheme are also discussed. [In Korean.]

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