IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/5807976.html
   My bibliography  Save this paper

Analysis Of Inventory Policy For Perishable Goods Having Constant Demand

Author

Listed:
  • Sarbjit Singh

    (Institute of Management Technology)

Abstract

One of the major problems of retailers is when to order and how much to order their products so that the total inventory cost is minimized i.e. their operating profit is maximized. This study focuses on the inventory management of perishable items having constant demand. Firstly, the mathematical model for perishable items have been framed and then using the principle of maxima- minima the optimal cycle time equation has been obtained. Also using simulation the best possible solution has been obtained for the various cases. By using the above model retailer can easily decide his inventory cycle time and optimal ordering quantity. The above model can be converted into the classical EOQ model if nonperishable items are considered. Otherwise, also it follows the classical EOQ principle which states that the optimal order quantity is obtained when ordering cost is equal to the carrying cost

Suggested Citation

  • Sarbjit Singh, 2017. "Analysis Of Inventory Policy For Perishable Goods Having Constant Demand," Proceedings of International Academic Conferences 5807976, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:5807976
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/33rd-international-academic-conference-vienna/table-of-content/detail?cid=58&iid=066&rid=7976
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Deterioration; Optimality; Sensitivity;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sek:iacpro:5807976. 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.