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An Economic Design of Rectifying Double Acceptance Sampling Plans via Maxima Nomination Sampling

Author

Listed:
  • Razmkhah Mansooreh

    (Department of Statistics, Ferdowsi University of Mashhad (FUM), Mashhad, Iran)

  • Sadeghpour Gildeh Bahram

    (Department of Statistics, Ferdowsi University of Mashhad (FUM), Mashhad, Iran)

  • Ahmadi Jafar

    (Department of Statistics, Ferdowsi University of Mashhad (FUM), Mashhad, Iran)

Abstract

In industry when a lot of items is sent for inspection, double acceptance sampling plans (DASP) are considered as a way to decide on acceptance or rejection of the lot. If the lot contains items with high sensitivity, then the measuring of quality characteristics is destructive or costly. So we are looking for a method to decide that it has high performance. Using the ranked set sampling (RSS) method will make it stricter and more accurate whether or not to accept a lot. Moreover, it is affordable and will not burden extra costs on the buyer or the producer. In this paper, by using a special type of RSS, with the name of maxima nomination sampling (MNS), we design a DASP with regards to the total loss function. The results indicate that the total loss function, which is acquired by the MNS method, has lower values than the one using the simple random sampling (SRS) method.

Suggested Citation

  • Razmkhah Mansooreh & Sadeghpour Gildeh Bahram & Ahmadi Jafar, 2017. "An Economic Design of Rectifying Double Acceptance Sampling Plans via Maxima Nomination Sampling," Stochastics and Quality Control, De Gruyter, vol. 32(2), pages 99-104, December.
    • Handle: RePEc:bpj:ecqcon:v:32:y:2017:i:2:p:99-104:n:3
    DOI: 10.1515/eqc-2017-0018
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    References listed on IDEAS

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    1. Mu'azu Abujiya & Hassen Muttlak, 2004. "Quality Control Chart for the Mean using Double Ranked Set Sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(10), pages 1185-1201.
    2. Gülser Köksal & Aysun Taşeli & Leman Esra Dolgun & İnci Batmaz, 2013. "The effect of inspection error on quality and producer losses: the case of nominal-the-best type quality characteristic and rework," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 7(4), pages 497-528.
    3. Hassen Muttlak & Walid Al-Sabah, 2003. "Statistical quality control based on ranked set sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(9), pages 1055-1078.
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