IDEAS home Printed from https://ideas.repec.org/a/ids/ijbsre/v5y2011i1p35-56.html
   My bibliography  Save this article

Application of the fuzzy analytic hierarchy process to the lead-free equipment selection decision

Author

Listed:
  • Yu-Cheng Tang
  • Thomas W. Lin

Abstract

After 1 July 2006, a major challenge that the manufacturing industry has to confront now is the effect of the lead-free equipment system selection process on companies' capital expenditure decision. With capital investment, the criteria may be financial (e.g. expected cash flows) and non-financial (e.g. product quality). We use a systems approach with the fuzzy analytic hierarchy process (FAHP) method as the decision support system to help decision makers making better choices both in relation to tangible criteria and intangible criteria. Fuzzy set theory will be utilised to provide an effective way of dealing with the uncertainty of human subjective interpretation of tangible and intangible criteria.

Suggested Citation

  • Yu-Cheng Tang & Thomas W. Lin, 2011. "Application of the fuzzy analytic hierarchy process to the lead-free equipment selection decision," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 5(1), pages 35-56.
    • Handle: RePEc:ids:ijbsre:v:5:y:2011:i:1:p:35-56
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=37289
    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. Jean-Claude Baraka Munyaka & Venkata Seshachala Sarma Yadavalli, 2021. "Decision support framework for facility location and demand planning for humanitarian logistics," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 9-28, February.
    2. Račić Željko V., 2018. "Fuzzification - Decision Making in Terms of Uncertainty," Economics, Sciendo, vol. 6(2), pages 87-94, December.
    3. Anirut Pipatprapa & Hsiang-Hsi Huang & Ching-Hsu Huang, 2016. "A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques," Sustainability, MDPI, vol. 8(3), pages 1-16, March.

    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:ijbsre:v:5:y:2011:i:1:p:35-56. 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=206 .

    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.