IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v14y2013i1p20-39.html
   My bibliography  Save this article

Material selection using hybrid MCDM approach for automobile bumper

Author

Listed:
  • M. Ilangkumaran
  • A. Avenash
  • V. Balakrishnan
  • S. Barath Kumar
  • M. Boopathi Raja

Abstract

This paper describes an application of multi-criteria decision-making (MCDM) techniques to evaluate optimum material to be employed for manufacturing of automobile bumper. The proposed hybrid MCDM technique involves fuzzy analytical hierarchy process (FAHP) integrated with preference ranking organisation method for enrichment evaluation (PROMETHEE). FAHP is used to compute the criteria weights. PROMETHEE I is used to find out the leaving and entering flows, whereas PROMETHEE II is used to find the total ranking of the material. This study focuses on five alternatives such as polyethylene, polypropylene, acrylonitrile butadiene styrene, polyamide and polystyrene. This study uses six evaluation criteria such as compressive yield strength, flexural modulus, hardness, Charpy impact strength, elongation and cost to select the appropriate material.

Suggested Citation

  • M. Ilangkumaran & A. Avenash & V. Balakrishnan & S. Barath Kumar & M. Boopathi Raja, 2013. "Material selection using hybrid MCDM approach for automobile bumper," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 14(1), pages 20-39.
    • Handle: RePEc:ids:ijisen:v:14:y:2013:i:1:p:20-39
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=52919
    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. Dwivedi, Pankaj Prasad & Sharma, Dilip Kumar, 2023. "Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 212(C), pages 457-474.
    2. Shankha Shubhra Goswami & Dhiren Kumar Behera, 2023. "Developing Fuzzy-AHP-Integrated Hybrid MCDM System of COPRAS-ARAS for Solving an Industrial Robot Selection Problem," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 15(1), pages 1-38, 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:ids:ijisen:v:14:y:2013:i:1:p:20-39. 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.