IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v20y2015i3p323-342.html
   My bibliography  Save this article

A hybrid grey-based KOHONEN and genetic algorithm to integrated technology selection

Author

Listed:
  • Abbas Toloie Eshlaghy
  • Farshad Faezy Razi

Abstract

Selecting a proper integrated manufacturing technology is one of the most complicated and time consuming problems for manufacturing companies, because of many possible alternatives and conflicting attributes. This paper presents an integrated technology project portfolio selection using grey relational analysis (GRA) and KOHONEN algorithm. The proposed approach of this paper first clusters different technology based on KOHONEN algorithm and then ranks various alternatives in each cluster by grey relational analysis (GRA). The proposed framework is implemented in a case study to shows its usefulness and applicability in practice.

Suggested Citation

  • Abbas Toloie Eshlaghy & Farshad Faezy Razi, 2015. "A hybrid grey-based KOHONEN and genetic algorithm to integrated technology selection," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 20(3), pages 323-342.
    • Handle: RePEc:ids:ijisen:v:20:y:2015:i:3:p:323-342
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=69911
    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.

    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:20:y:2015:i:3:p:323-342. 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.