Optimal Designing of Skip Lot Sampling Plan-2 with Bootstrap Approach based on Process Capability Index.
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| Title: | Optimal Designing of Skip Lot Sampling Plan-2 with Bootstrap Approach based on Process Capability Index. |
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| Authors: | Sukparungsee, Saowanit1 saowanit.s@sci.kmutnb.ac.th, Tinochai, Khanittha2 Khanitthat@nu.ac.th |
| Source: | IAENG International Journal of Applied Mathematics. Jun2026, Vol. 56 Issue 6, p2159-2167. 9p. |
| Subjects: | Process capability, Statistical bootstrapping, Weibull distribution, Quality control |
| Abstract: | The objective of this research is focused on the optimal parameters of SkSP-2 based on process capability analysis using bootstrap approach. The bootstrap method is considered as following the percentile bootstrap (PB) confidence interval and bias-corrected percentile bootstrap (BCPB) confidence interval for estimating the PCI of Cpk. The process of data can be considered nonnormal distribution as following Weibull distribution. The SkSP-2 with PB and SkSP-2 with BCPB are compared with SSP. In addition, the criteria for comparison can be utilized as the probability of acceptance (Pa) and average sample number (ASN). The proposed plans are provided Pa higher than traditional approach as SSP while proposed plans are provided ASN smaller than SSP. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194195905 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal Designing of Skip Lot Sampling Plan-2 with Bootstrap Approach based on Process Capability Index. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sukparungsee%2C+Saowanit%22">Sukparungsee, Saowanit</searchLink><relatesTo>1</relatesTo><i> saowanit.s@sci.kmutnb.ac.th</i><br /><searchLink fieldCode="AR" term="%22Tinochai%2C+Khanittha%22">Tinochai, Khanittha</searchLink><relatesTo>2</relatesTo><i> Khanitthat@nu.ac.th</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Jun2026, Vol. 56 Issue 6, p2159-2167. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Process+capability%22">Process capability</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+bootstrapping%22">Statistical bootstrapping</searchLink><br /><searchLink fieldCode="DE" term="%22Weibull+distribution%22">Weibull distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The objective of this research is focused on the optimal parameters of SkSP-2 based on process capability analysis using bootstrap approach. The bootstrap method is considered as following the percentile bootstrap (PB) confidence interval and bias-corrected percentile bootstrap (BCPB) confidence interval for estimating the PCI of Cpk. The process of data can be considered nonnormal distribution as following Weibull distribution. The SkSP-2 with PB and SkSP-2 with BCPB are compared with SSP. In addition, the criteria for comparison can be utilized as the probability of acceptance (Pa) and average sample number (ASN). The proposed plans are provided Pa higher than traditional approach as SSP while proposed plans are provided ASN smaller than SSP. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194195905 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 2159 Subjects: – SubjectFull: Process capability Type: general – SubjectFull: Statistical bootstrapping Type: general – SubjectFull: Weibull distribution Type: general – SubjectFull: Quality control Type: general Titles: – TitleFull: Optimal Designing of Skip Lot Sampling Plan-2 with Bootstrap Approach based on Process Capability Index. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sukparungsee, Saowanit – PersonEntity: Name: NameFull: Tinochai, Khanittha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 6 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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