[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v32y2017i2p99-104n3.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eqc-2017-0018
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/eqc-2017-0018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abdul Haq & Amer Al-Omari, 2015. "A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1185-1202, May.
    2. Muhammad Abid & Hafiz Zafar Nazir & Muhammad Tahir & Muhammad Riaz, 2018. "On designing a new cumulative sum Wilcoxon signed rank chart for monitoring process location," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-18, April.
    3. Bock, David, 2007. "Consequences of using the probability of a false alarm as the false alarm measure," Research Reports 2007:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    4. Amer Ibrahim Al-Omari & Abdul Haq, 2012. "Improved quality control charts for monitoring the process mean, using double-ranked set sampling methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(4), pages 745-763, August.
    5. Ruiying Li & Qiang Dong & Wenting Ma & Rui Kang, 2023. "A test-based methodology for the probabilistic assessment of system resilience under random disturbances," Journal of Risk and Reliability, , vol. 237(4), pages 671-685, August.
    6. Hsi-Tien Chen & Kuen-Suan Chen, 2016. "Assessing the assembly quality of a T-bar ceiling suspension by using an advanced multi-process performance analysis chart with asymmetric tolerance," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 264-283.
    7. Al-Omari Amer Ibrahim & Al-Nasser Amjad D., 2011. "Statistical Quality Control Limits for the Sample Mean Chart Using Robust Extreme Ranked Set Sampling," Stochastics and Quality Control, De Gruyter, vol. 26(1), pages 73-89, January.
    8. David Bock, 2008. "Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(2), pages 213-227.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:ecqcon:v:32:y:2017:i:2:p:99-104:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.