On the Odd Perks Exponential Model: An Application to Quality Control Data

In the present study, the group acceptance plan is examined when the lifetime of an item follows the odd Perks exponential distribution, and a large number of items regarded as a group are evaluated simultaneously. The crucial parameters are derived from the consumer risk and the test termination pe...

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Vydáno v:Advances in Operations Research Ročník 2022; s. 1 - 10
Hlavní autoři: Shafiq, Shakaiba, Jamal, Farrukh, Chesneau, Christophe, Aslam, Muhammad, Mendy, John T.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 28.09.2022
John Wiley & Sons, Inc
Témata:
Acceptance
Algorithms
Comparative analysis
Consumer credit
Control data (computers)
Nanotechnology
Operations research
Optimization techniques
Probability distribution functions
Quality control
Quality management
Sample size
Sampling
Statistical methods
ISSN:1687-9147, 1687-9155
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Shrnutí:In the present study, the group acceptance plan is examined when the lifetime of an item follows the odd Perks exponential distribution, and a large number of items regarded as a group are evaluated simultaneously. The crucial parameters are derived from the consumer risk and the test termination period. The operating characteristics function values are generated for various quality levels. An optimized group acceptance plan and comparison of group acceptance sampling plan with the ordinary sampling plan are also presented. Additionally, a graphical illustration of operating characteristics for diverse groups and parametric values is provided. The minimum ratios of the actual average life to the stipulated average life are likewise computed at the prescribed producer’s risk. Examples are used to illustrate the outcomes via our algorithm under the odd Perks exponential distribution setting. It is explained using a quality control dataset to establish its practical versatility.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1687-9147
1687-9155
DOI:10.1155/2022/5502216