[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ids/ijpmbe/v14y2023i1p23-51.html
   My bibliography  Save this article

Multi echelon fuzzy inventory model for perishable items in a supply chain with imperfect production and exponential demand rate

Author

Listed:
  • S.V. Singh Padiyar
  • Naveen Bhagat
  • S.R. Singh
  • Neha Punetha
Abstract
In this paper, an integrated inventory model for perishable item is developed from the supplier, manufacturer and buyer's point of view. Generally, the value of perishable items is determined by its quality. Demand is a major factor in supply chain system and it may increase due to consumer's preference. In reality, it is seen that demand and production of perishable item is almost uncertain because at the time of production, there are possibilities of being imperfect production. So the parameters that are affecting the quantity of demand and production rate are taken as triangular fuzzy numbers. Three different methods are used to defuzzify the total profit function. This model has been accomplished with the different rate of deterioration for raw material and finished goods. The change in deterioration rate of finished goods leads to continuous increase in total profit and cycle time, and the change in deterioration rate for raw material leads to gradual decrease in total profit as well as cycle time. The setup has been detected numerically to obtain an optimal solution and also the sensitivity analysis is performed.

Suggested Citation

  • S.V. Singh Padiyar & Naveen Bhagat & S.R. Singh & Neha Punetha, 2023. "Multi echelon fuzzy inventory model for perishable items in a supply chain with imperfect production and exponential demand rate," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 14(1), pages 23-51.
    • Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:23-51
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130451
    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:ijpmbe:v:14:y:2023:i:1:p:23-51. 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=95 .

    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.