Decision-Making for the Lifetime Performance Index

Basim S.O. Alsaedi; M. M. Abd El-Raouf; E. H. Hafez; Zahra Almaspoor; Osama Abdulaziz Alamri; Kamel Atallah Alanazi; Saima Khan Khosa

doi:10.1155/2021/3005067

Decision-Making for the Lifetime Performance Index

Basim S.O. Alsaedi, M. M. Abd El-Raouf, E. H. Hafez, Zahra Almaspoor, Osama Abdulaziz Alamri, Kamel Atallah Alanazi, Saima Khan Khosa

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The purpose of this research is to develop a maximum likelihood estimator (MLE) for lifetime performance index CL for the parameter of mixture Rayleigh-Half Normal distribution (RHN) under progressively type-II right-censored samples under the constraint of knowing the lower specification limit (L). Additionally, we suggest an asymptotic normal distribution for the MLE for CL in order to construct a mechanism for evaluating products' lifespan efficiency. We have specified all the steps to carry out the test. Additionally, not only does hypothesis testing successfully assess the lifetime performance of items, but it also functions as a supplier selection criterion for the consumer. Finally, we have added two real data examples as illustration examples. These two applications are provided to demonstrate how the results can be applied.

Original language	English
Article number	3005067
Journal	Computational Intelligence and Neuroscience
Volume	2021
DOIs	https://doi.org/10.1155/2021/3005067
State	Published - 2021
Externally published	Yes

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title = "Decision-Making for the Lifetime Performance Index",

abstract = "The purpose of this research is to develop a maximum likelihood estimator (MLE) for lifetime performance index CL for the parameter of mixture Rayleigh-Half Normal distribution (RHN) under progressively type-II right-censored samples under the constraint of knowing the lower specification limit (L). Additionally, we suggest an asymptotic normal distribution for the MLE for CL in order to construct a mechanism for evaluating products' lifespan efficiency. We have specified all the steps to carry out the test. Additionally, not only does hypothesis testing successfully assess the lifetime performance of items, but it also functions as a supplier selection criterion for the consumer. Finally, we have added two real data examples as illustration examples. These two applications are provided to demonstrate how the results can be applied.",

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doi = "10.1155/2021/3005067",

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AU - Alsaedi, Basim S.O.

AU - Abd El-Raouf, M. M.

AU - Hafez, E. H.

AU - Almaspoor, Zahra

AU - Alamri, Osama Abdulaziz

AU - Alanazi, Kamel Atallah

AU - Khosa, Saima Khan

PY - 2021

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AB - The purpose of this research is to develop a maximum likelihood estimator (MLE) for lifetime performance index CL for the parameter of mixture Rayleigh-Half Normal distribution (RHN) under progressively type-II right-censored samples under the constraint of knowing the lower specification limit (L). Additionally, we suggest an asymptotic normal distribution for the MLE for CL in order to construct a mechanism for evaluating products' lifespan efficiency. We have specified all the steps to carry out the test. Additionally, not only does hypothesis testing successfully assess the lifetime performance of items, but it also functions as a supplier selection criterion for the consumer. Finally, we have added two real data examples as illustration examples. These two applications are provided to demonstrate how the results can be applied.

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Decision-Making for the Lifetime Performance Index

Abstract

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