IDEAS home Printed from https://ideas.repec.org/a/ids/ijisma/v7y2012i1-2-3p167-191.html
   My bibliography  Save this article

A combined AHP and ISM-based model to assess the agility of supply chain - a case study

Author

Listed:
  • P.G. Saleeshya
  • Karthik Suresh Thampi
  • P. Raghuram

Abstract

An agile supply chain corresponds to the quick responsiveness of an organisation to ever changing market demands without compromising on cost and quality of the product. The textile industry is one such industry having a volatile market demand. This paper is an outcome of a case study conducted in a leading spinning industry in South India. Various enablers and determinants of agility were identified through literature review, field study and industry study. Based on the findings of these studies a multi-level model was developed and the suitability of this model to improve the agility of supply chain was tested. For this, two methodologies - analytical hierarchy process (AHP) and interpretive structural modelling (ISM) were identified as suitable tools. The analysis of the results of AHP and ISM methodologies provide the industry an insight on how the supply chain can be made more agile. Further, the model provides the top management a clear vision of the practices to be implemented and the improvement methods to be adopted by the company for an effective management of supply chains in spinning industries.

Suggested Citation

  • P.G. Saleeshya & Karthik Suresh Thampi & P. Raghuram, 2012. "A combined AHP and ISM-based model to assess the agility of supply chain - a case study," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 7(1/2/3), pages 167-191.
  • Handle: RePEc:ids:ijisma:v:7:y:2012:i:1/2/3:p:167-191
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=51050
    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. Priyank Srivastava & Dinesh Khanduja & V. P. Agrawal, 2020. "Agile maintenance attribute coding and evaluation based decision making in sugar manufacturing plant," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 553-583, June.
    2. Maurizio Bevilacqua & Filippo Emanuele Ciarapica & Davide D'Ettorre & Giovanni Mazzuto & Claudia Paciarotti, 2014. "Total quality control through value stream mapping: a case study of small medium enterprises," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 94-109.
    3. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, 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:ijisma:v:7:y:2012:i:1/2/3:p:167-191. 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=81 .

    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.