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.
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]
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Database: Engineering Source
Description
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]
ISSN:19929978