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Proposal of variable sequential sampling plan having desired operating characteristics indexed by quality loss

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  • Ryosuke Tomohiro
  • Ikuo Arizono
  • Yasuhiko Takemoto

Abstract

The proportion of non-conforming items has been traditionally utilised as an evaluation criterion for quality of items. However, the proportion of non-conforming items is not necessarily useful as a proper evaluation criterion for controlling high-quality manufacturing in recent years. Accordingly, in order to achieve further quality improvement and innovation, more careful quality evaluation has been required newly. Then, a concept of quality loss in the Taguchi methods has been devised as a severe criterion of quality evaluation. Hereby, a variable single sampling plan having desired operating characteristics (OCs) indexed by quality loss has been proposed in the area of statistical quality control. By the way, the most economical sampling inspection in the average sample number (ASN) is the sequential sampling plan based on the Wald’s sequential probability ratio test. Then, from the viewpoint of cost reduction, we discuss a variable sequential sampling plan having desired OC indexed by quality loss with the aim of expansion of the utility of variable sampling plan for quality loss. As the result, the design procedure of the sequential sampling plan for satisfying some required design conditions indexed by quality loss is provided. In addition, the effectiveness of the proposed sequential sampling plan is verified through some numerical examples.

Suggested Citation

  • Ryosuke Tomohiro & Ikuo Arizono & Yasuhiko Takemoto, 2016. "Proposal of variable sequential sampling plan having desired operating characteristics indexed by quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 54(19), pages 5742-5760, October.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:19:p:5742-5760
    DOI: 10.1080/00207543.2016.1173249
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    References listed on IDEAS

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    1. W L Pearn & Chien-Wei Wu, 2006. "Variables sampling plans with PPM fraction of defectives and process loss consideration," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 450-459, April.
    2. Ikuo Arizono & Akihiro Kanagawa & Hiroshi Ohta & Kyouko Watakabe & Kouji Tateishi, 1997. "Variable sampling plans for normal distribution indexed by Taguchi's loss function," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(6), pages 591-603, September.
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    Cited by:

    1. Chien-Wei Wu & Zih-Huei Wang, 2017. "Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2351-2364, April.

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