IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v27y2017i3p343-362.html
   My bibliography  Save this article

Modelling supply chain of rice, uncertainty factors and strategic supply management

Author

Listed:
  • Pradipta Kishore Das
  • Narayan Chandra Nayak

Abstract

Rice is the major staple food of India where the impact of technoenvironmental uncertainty factors like logistical problems, on time delivery, opportunistic behaviour, product specification, average lateness, on time governance mechanism, reduction in cost, degree of inconsistency, increase in knowledge flow between firms and climate change on agricultural ecosystems have been a matter of concern for food security in the present situation. In this research, influence of uncertainty factors on strategic supply management relevant to rice-based supply chain of Odisha has been reported with a objective to fill the gap by providing a framework addressing how to leverage uncertainty factors to improve supply chain performance. A model has been developed to analyse and access qualitative as well as quantitative measures and the impact of uncertainties on strategic supply management is tested. The present work has efficiently demonstrated the different techno-environmental uncertainties and its significance in strategic decision-making.

Suggested Citation

  • Pradipta Kishore Das & Narayan Chandra Nayak, 2017. "Modelling supply chain of rice, uncertainty factors and strategic supply management," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 343-362.
    • Handle: RePEc:ids:ijlsma:v:27:y:2017:i:3:p:343-362
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=84470
    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.

    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:ijlsma:v:27:y:2017:i:3:p:343-362. 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=134 .

    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.