IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v43y2009i6p999-1009.html
   My bibliography  Save this article

Using OWA aggregation technique in QFD: a case study in education in a textile engineering department

Author

Listed:
  • Ayşe Okur
  • Efendi Nasibov
  • Musa Kiliç
  • Murat Yavuz

Abstract

No abstract is available for this item.

Suggested Citation

  • Ayşe Okur & Efendi Nasibov & Musa Kiliç & Murat Yavuz, 2009. "Using OWA aggregation technique in QFD: a case study in education in a textile engineering department," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(6), pages 999-1009, November.
    • Handle: RePEc:spr:qualqt:v:43:y:2009:i:6:p:999-1009
    DOI: 10.1007/s11135-008-9170-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-008-9170-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-008-9170-2?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Richard Hnilica & Martin Jankovský & Miroslav Dado & Valéria Messingerová & Marián Schwarz & Darina Veverková, 2017. "Use of the analytic hierarchy process for complex assessment of the work environment," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 93-101, January.
    2. Asadabadi, Mehdi Rajabi, 2017. "A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1049-1062.
    3. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel & Al-Badi, Abdullah, 2012. "Wind farm land suitability indexing using multi-criteria analysis," Renewable Energy, Elsevier, vol. 44(C), pages 80-87.
    4. Hasan Zabihi & Mohsen Alizadeh & Philip Kibet Langat & Mohammadreza Karami & Himan Shahabi & Anuar Ahmad & Mohamad Nor Said & Saro Lee, 2019. "GIS Multi-Criteria Analysis by Ordered Weighted Averaging (OWA): Toward an Integrated Citrus Management Strategy," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    5. Hsin-Hung Wu & Ya-Ning Tsai, 2012. "Using AHP to evaluate the criteria of auto spare parts industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 359-364, January.

    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:spr:qualqt:v:43:y:2009:i:6:p:999-1009. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.