IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v11y2012i1-2p3-15.html
   My bibliography  Save this article

Selection of industrial robots using compromise ranking method

Author

Listed:
  • Vijay Manikrao Athawale
  • Prasenjit Chatterjee
  • Shankar Chakraborty

Abstract

Many advanced manufacturers are now extensively using robots to perform repetitious, difficult and hazardous tasks with precision. Selection of industrial robots to suit a particular application and production environment from among a large number of alternatives available in the market is a difficult task in real-time manufacturing environment. This has become more and more complicated due to increase complexity, advanced features and facilities that are continuously being incorporated into the robots by different vendors. The decision maker needs to select the most appropriate industrial robot to achieve the desired performance with minimum cost and specific application ability. This paper mainly focuses on solving the industrial robot selection problems using VIse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method, which has already become a quite popular multi-criteria decision-making (MCDM) tool. It evaluates and ranks the alternative candidate robots, while proposing a compromise solution to the robot selection problem. Two real-time examples are illustrated to demonstrate and validate the effectiveness and applicability of VIKOR method, which also prove the computational simplicity of this method.

Suggested Citation

  • Vijay Manikrao Athawale & Prasenjit Chatterjee & Shankar Chakraborty, 2012. "Selection of industrial robots using compromise ranking method," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 11(1/2), pages 3-15.
    • Handle: RePEc:ids:ijisen:v:11:y:2012:i:1/2:p:3-15
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=46651
    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. Madan Jagtap & Prasad Karande, 2024. "New approach for performance score analysis of m-polar Fuzzy ELECTRE-I method," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2095-2130, December.

    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:11:y:2012:i:1/2:p:3-15. 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.