2020
DOI: 10.1016/j.apm.2019.11.037
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Optimal design of overall yield-based variable repetitive sampling plans for processes with multiple characteristics

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Cited by 21 publications
(4 citation statements)
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“…Moreover, the MQCs may be mutually correlated in practice. The exploration of the principal component analysis recommended by Nadi et al 22 that first converts correlated variables into uncorrelated linear variables is suggested. A deeper investigation into the proposed CitalicpkT‐VQSS system would be considered a valuable area for future research.…”
Section: Discussionmentioning
confidence: 99%
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“…Moreover, the MQCs may be mutually correlated in practice. The exploration of the principal component analysis recommended by Nadi et al 22 that first converts correlated variables into uncorrelated linear variables is suggested. A deeper investigation into the proposed CitalicpkT‐VQSS system would be considered a valuable area for future research.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, in practical lot disposition, multiple quality characteristics (MQCs) of sampling items are simultaneously considered. 22 With the development of sensor technologies, cost-and time-efficiently measuring MQCs in different supply chain channels have become a reality in today's manufacturing environments. [23][24][25] Accordingly, numerous motivated researchers have applied comprehensive techniques that can extend the evaluation domain of the PCI from the single variable of a quality characteristic to an integrated variable of the MQCs.…”
Section: Introductionmentioning
confidence: 99%
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“…Yen et al used the one-sided process capability indices ( C pu and C pl ) to develop the repetitive sampling plan 15 . More information about PCI-based sampling can be seen in three references 12 , 16 , 17 .…”
Section: Introductionmentioning
confidence: 99%