IDEAS home Printed from https://ideas.repec.org/a/icf/icfjcs/v6y2012i4p48-62.html
   My bibliography  Save this article

Identifying Optimum Inventory by Using Genetic Algorithm with Special Reference to Automobile Sector

Author

Listed:
  • Sanjay Jain
  • Kapil Sharma

Abstract

Inventory management is considered to be an important field in supply chain management. Inventory is one of the factors responsible for minimizing the supply chain cost. Through efficient and effective management of inventory, services provided to the customers get enhanced. In this paper, an attempt has been made to optimize the inventory level of an organization by using genetic algorithm in MATLAB7.6 based on the data obtained from a leading automobile dealer.

Suggested Citation

  • Sanjay Jain & Kapil Sharma, 2012. "Identifying Optimum Inventory by Using Genetic Algorithm with Special Reference to Automobile Sector," The IUP Journal of Computer Sciences, IUP Publications, vol. 0(4), pages 48-62, October.
  • Handle: RePEc:icf:icfjcs:v:6:y:2012:i:4:p:48-62
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:icf:icfjcs:v:6:y:2012:i:4:p:48-62. 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: G R K Murty (email available below). General contact details of provider: .

    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.