Designing a yield-based skip-lot sampling plan for lot acceptance determination

Abstract

Acceptance sampling has been widely used in practical applications for incoming or receiving inspections, and various sampling plans have been developed for different circumstances and purposes. Skip-lot sampling plans (SkSPs) are an effective sampling procedure and may be useful as a reduced inspection system when a submitted lot’s quality is good and stable. Thus, this study attempts to integrate the concept of the SkSP and the process yield index S_pk to develop a variables SkSP of type 2 (SkSP-2) with an S_pk-based single sampling plan (SSP) as the reference plan. This plan is suitable for today’s high-yield process environments and products, with a normally distributed quality characteristic under bilateral specification limits. The plan parameters are solved by an optimisation model with nonlinear constraints, which minimises the average sample number (ASN) and satisfies the quality and risk requirements specified by the producer and consumer. The performance and efficiency of the proposed SkSP-2 are examined and compared with the variables SSP in terms of the operating characteristic and ASN curves. Additionally, tables of the plan parameters under selected conditions are provided for reference, and an example from the printed circuit board industry is presented to demonstrate the practicality of the proposed plan.

Keywords:

• Skip-lot sampling
• lot sentencing
• process yield
• operating characteristic function
• average sample number

Acknowledgement

The authors would like to thank the Associate Editor and three anonymous referees for their helpful comments and careful readings, which significantly improved the presentation of this paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was partially supported by the Ministry of Science and Technology of Taiwan under grant number MOST 103-2221-E-007-103-MY3.