The testing procedure for the overall lifetime performance index of Rayleigh products in multiple production lines based on the progressive type I interval censored sample

doi:10.3390/sym16020195

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Title:	The testing procedure for the overall lifetime performance index of Rayleigh products in multiple production lines based on the progressive type I interval censored sample
Authors:	Wu, Shu-Fei;Huang, Pei-Tzu
Keywords:	Rayleigh distribution;multiple production lines;progressive type I interval censoring;maximum likelihood estimator;lifetime performance index;testing procedure
Date:	2024-02-06
Issue Date:	2024-12-13 12:05:31 (UTC+8)
Abstract:	The lifetime performance index is a process capability index that is commonly used for the evaluation of the durability of products in life testing and reliability analysis. In the context of multiple production lines, we introduce an overall lifetime performance index and explore the relationship between this comprehensive index and individual lifetime performance indices. For products with lifespans following the Rayleigh distribution in the ith production line, we delve into the maximum likelihood estimator and asymptotic distribution to derive both the individual and overall lifetime performance indices. By establishing a predetermined target for the overall lifetime performance index, we can determine the corresponding target for each individual lifetime performance index. The testing algorithmic procedure is proposed to ascertain whether the overall lifetime performance index has reached its target value based on the maximum likelihood estimator, accompanied by figures illustrating the analysis of test power. We found that there is a monotonic relationship for the test power with various structures of parameters. Finally, a practical illustration with one numeral example is presented to demonstrate how the testing procedure is employed to evaluate the capabilities of multiple production lines.
Relation:	Symmetry-Basel. 16, 195,p.1-19.
DOI:	10.3390/sym16020195
Appears in Collections:	[Graduate Institute & Department of Statistics] Journal Article

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