IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v27y2017i1p73-89.html
   My bibliography  Save this article

A grey-based approach for managing uncertainties and performance in automotive supply chains

Author

Listed:
  • Parveen Farooquie
  • Arif Suhail
  • Mohd. Nishat Faisal

Abstract

Automotive supply chains are among the most complicated chains to manage because of the involvement of enormous number of suppliers and the associated uncertainties. Any disruption in the chain has a great impact on the performance of the entire chain. Uncertainties in supply chains interfere with their performance and managing uncertainties and risks to reduce this interference is a costly affair. The supply chain managers, therefore, need to prioritise uncertainties in terms of their negative impact on the performance. This will help them identify and adopt an appropriate mitigation strategy to reduce the effect of any kind of uncertainty on a given parameter of performance. Since the occurrence of any kind of uncertainty and its effect on a given performance parameter cannot be ascertained for a selected time horizon, a grey-based modelling technique has been developed to model the relationship between uncertainty and performance.

Suggested Citation

  • Parveen Farooquie & Arif Suhail & Mohd. Nishat Faisal, 2017. "A grey-based approach for managing uncertainties and performance in automotive supply chains," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 27(1), pages 73-89.
    • Handle: RePEc:ids:ijisen:v:27:y:2017:i:1:p:73-89
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=85755
    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:ijisen:v:27:y:2017:i:1:p:73-89. 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.