IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v17y2014i1p1-14.html
   My bibliography  Save this article

A fuzzy QFD approach to implement reverse engineering in prosthetic socket development

Author

Listed:
  • Richa Pandey
  • L.N. Pattanaik

Abstract

This paper presents a fuzzy quality function deployment (QFD) tool to identify the critical design parameters to satisfy the users of prosthetic sockets. The tailor made socket is considered as an element of major importance in the development of prosthesis. Based on the results of the QFD analysis, the most important parameter identified as the 'manufacturing process' and possible improvements in it is explored. A comparative analysis between conventional and reverse engineering (RE)-based design and development of sockets used in artificial limbs is conducted using the real data from users. The paper reports the shortcomings of the conventional method of preparation of sockets in the small scale industries and proposes the replacement of it by the CAD/CAM and reverse engineering. Five manufacturers involved in the fabrication of the prosthetic sockets and their thirty five users are surveyed for developing the fuzzy QFD. The study may serve to highlight the needs of the users in order to adopt a manufacturing practice to achieve user satisfaction and manufacturing excellence.

Suggested Citation

  • Richa Pandey & L.N. Pattanaik, 2014. "A fuzzy QFD approach to implement reverse engineering in prosthetic socket development," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 17(1), pages 1-14.
  • Handle: RePEc:ids:ijisen:v:17:y:2014:i:1:p:1-14
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=60819
    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. Roman Trach & Yuliia Trach & Agnieszka Kiersnowska & Anna Markiewicz & Marzena Lendo-Siwicka & Konstantin Rusakov, 2022. "A Study of Assessment and Prediction of Water Quality Index Using Fuzzy Logic and ANN Models," Sustainability, MDPI, vol. 14(9), pages 1-19, May.

    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:ijisen:v:17:y:2014:i:1:p:1-14. 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=188 .

    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.