IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v16y2022i3p349-370.html
   My bibliography  Save this article

New approach for quality function deployment with an extended alternative queuing method under linguistic Pythagorean fuzzy environment

Author

Listed:
  • Ye-Jia Ping
  • Ran Liu
  • Ze-Ling Wang
  • Hu-Chen Liu

Abstract

As a customer-driven tool to support the development of new products or services, quality function deployment (QFD) is able to transform customer requirements (CRs) into suitable engineering characteristics (ECs) to maximise the customer satisfaction. However, the conventional QFD method has some weaknesses limiting its effectiveness in the real applications. In this study, a new QFD approach based on linguistic Pythagorean fuzzy sets (LPFSs) and alternative queuing method (AQM) is constructed to enhance the performance of the traditional QFD. First, we express the assessments from experts on the relationships between CRs and ECs using the LPFSs. Second, we apply an extended AQM to determine the importance prioritisation of ECs. Additionally, a consensus reaching algorithm is adopted to dynamically determine the relative weights of experts considering their inconsistent judgements. An illustrative application of 5G smartphone development is conducted to demonstrate the feasibility and efciency of our proposed QFD approach. Through the empirical case with a comparative analysis, the proposed approach is proved to be useful and practical for capturing experts' opinions and prioritising ECs in QFD. [Submitted: 19 March 2020; Accepted: 11 April 2021]

Suggested Citation

  • Ye-Jia Ping & Ran Liu & Ze-Ling Wang & Hu-Chen Liu, 2022. "New approach for quality function deployment with an extended alternative queuing method under linguistic Pythagorean fuzzy environment," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 16(3), pages 349-370.
  • Handle: RePEc:ids:eujine:v:16:y:2022:i:3:p:349-370
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=121912
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Yang Zhou & Guangmin Yang, 2022. "A Novel Linguistic Interval-Valued Pythagorean Fuzzy Multi-Attribute Group Decision-Making for Sustainable Building Materials Selection," Sustainability, MDPI, vol. 15(1), pages 1-29, December.
    2. Hua Shi & Ling-Xiang Mao & Ke Li & Xiang-Hu Wang & Hu-Chen Liu, 2022. "Engineering Characteristics Prioritization in Quality Function Deployment Using an Improved ORESTE Method with Double Hierarchy Hesitant Linguistic Information," Sustainability, MDPI, vol. 14(15), pages 1-19, August.

    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:ids:eujine:v:16:y:2022:i:3:p:349-370. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=210 .

    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.