Developing process-yield-based acceptance sampling plans for AR(1) auto-correlated process

Banihashemi, Atefe; Nezhad, Mohammad Saber Fallah; Amiri, Amirhossein

doi:10.1080/03610918.2021.1958845

Cited by 5 publications

(1 citation statement)

References 36 publications

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“…Balamurali and Usha's [33] study showed that the Cpm-based QSS system performs better in terms of ASN than the same type of QSS based on the Cpk and Cpmk indices developed by Wu et al [34] and Balamurali and Usha [35], respectively. Banihashemi et al [36] compared the effect of autocorrelation on the performance of the QSS system and the Modified-repetitive group sampling (RGS) plan based on the yield index Spk for a first-order auto-regressive process. They pointed out that the QSS system has a lower ASN than the Modified-RGS (MRGS) plan when the quality level is moderate.…”

Section: Introductionmentioning

confidence: 99%

Dynamic batch sentencing mechanisms for yield-based product acceptance determination with the simple linear profiles

et al. 2022

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Acceptance sampling plan has been extensively used in batch sentencing to provide the manufacturer and the customer a general benchmark to meet their predetermined needs on the batch quality. This paper develops a flexible sampling procedure, based on the S pkA index, for simple linear profiles by switching inspection rules. The plan parameters of the two suggested types of quick switching sampling (QSS) systems, satisfying the desirable quality levels and constraining the manufacturer's and the customer's risks, are derived by solving an optimization model. The comparisons between the suggested systems and the existing sampling plans are discussed, in terms of the discriminatory power and the average sample number to show the better performance of the suggested systems. Finally, the suggested QSS systems are applied in the electronics industry.

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