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Designing a variables two-plan sampling system of type TNTVSS-(nT, nN; k) for controlling process fraction nonconforming with unilateral specification limit

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  • Nani Kurniati
  • Ruey-Huei Yeh
  • Chien-Wei Wu

Abstract

This paper proposes a variables two-plan sampling system involving normal and tightened inspections, denoted as TNTVSS-(nT,nN;k)$ (n_{\text{T}}, \, n_{\text{N}}; \, k) $, for controlling process fraction nonconforming with a unilateral specification limit based on one-sided capability indices. The system utilises two single variables sampling plans with different sample sizes (nT,nN)$ (n_{\text{T}} , \, n_{\text{N}} ) $ and the same critical acceptance value k$ k $, where nT$ n_{\text{T}} $ and nN$ n_N $ are sample sizes required for tightened inspection and normal inspection, respectively. The tightened inspection plan is used when the quality deteriorates and the normal inspection plan is used when the quality is found to be good. The operating characteristic (OC) function of the proposed sampling system is developed based on the exact sampling distribution. The plan parameters under various settings are determined by solving two non-linear equations simultaneously, which satisfy the required quality levels and allowable risks given by the producer and the consumer. The behaviour of the proposed sampling system in terms of the OC curve and the average sample number are also examined, discussed and compared with the traditional single variables sampling plan.

Suggested Citation

  • Nani Kurniati & Ruey-Huei Yeh & Chien-Wei Wu, 2015. "Designing a variables two-plan sampling system of type TNTVSS-(nT, nN; k) for controlling process fraction nonconforming with unilateral specification limit," International Journal of Production Research, Taylor & Francis Journals, vol. 53(7), pages 2011-2025, April.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:7:p:2011-2025
    DOI: 10.1080/00207543.2014.946159
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    Cited by:

    1. Pérez-González, Carlos J. & Fernández, Arturo J. & Kohansal, Akram, 2020. "Efficient truncated repetitive lot inspection using Poisson defect counts and prior information," European Journal of Operational Research, Elsevier, vol. 287(3), pages 964-974.
    2. Fernández, Arturo J., 2017. "Economic lot sampling inspection from defect counts with minimum conditional value-at-risk," European Journal of Operational Research, Elsevier, vol. 258(2), pages 573-580.

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