IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v15y2013i4p475-489.html
   My bibliography  Save this article

Assessment of alternative industrial robots using AHP and TOPSIS

Author

Listed:
  • Ateekh Ur Rehman
  • Abdulrahman Al-Ahmari

Abstract

An ever increasing trend in present dynamic markets, the industrial organisations should provide the right amount of flexibility at right time in the right direction. Among many manufacturing strategies available, use of advance industrial robot technology is emerging as an attractive alternative. Although, the successful implementation of advance industrial robot offers manufacturing organisations numerous benefits, the assessment and preference of these technologies is a very versatile task due to the multiple parameters involved. The objective here is to help decision makers to ensure that the selected industrial robot comply with the objective of the organisation. Thus, the paper mainly demonstrates and compares the ranking of the industrial robots using analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). In the present study, the model presented takes into consideration the economic and technical criterion.

Suggested Citation

  • Ateekh Ur Rehman & Abdulrahman Al-Ahmari, 2013. "Assessment of alternative industrial robots using AHP and TOPSIS," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(4), pages 475-489.
    • Handle: RePEc:ids:ijisen:v:15:y:2013:i:4:p:475-489
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=57481
    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. Fawaz M. Abdullah & Abdulrahman M. Al-Ahmari & Saqib Anwar, 2023. "Analyzing Interdependencies among Influencing Factors in Smart Manufacturing," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

    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:15:y:2013:i:4:p:475-489. 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.