IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v5y2020i10id62184.html

A Fuzzy Inventory Model Considering Imperfect Quality Items with Receiving Reparative Batch and Order

Author

Listed:
  • Hesamoddin Tahami

    (Old Dominion University, USA)

  • Hengameh Fakhravar

    (Old Dominion University, USA)

Abstract

This paper presents an inventory model for imperfect quality items with receiving a reparative batch and order overlapping in a fuzzy environment by employing fuzzy triangular numbers. It is assumed that the imperfect items identified by Screening are divided into either scrap or reworkable items. The reworkable items are kept in store until the next items are received. Afterward, the items are returned to the supplier to be reworked. Also, a discount on the purchasing cost is employed as an offer of cooperation from a supplier to a buyer to compensate for all additional holding costs incurred to the buyer. The rework process is error-free. An overlapping order scheme is employed so that the vendor is allowed to use the previous shipment to meet the demand by the inspection period. In the fuzzy model, the graded mean integration method is taken to defuzzify the model and determine its approximation of a profit function and optimal policy. In doing so, numerical examples are rendered to represent the model behavior, and, eventually, the sensitivity analysis is presented.

Suggested Citation

  • Hesamoddin Tahami & Hengameh Fakhravar, 2020. "A Fuzzy Inventory Model Considering Imperfect Quality Items with Receiving Reparative Batch and Order," European Journal of Engineering and Technology Research, European Open Science, vol. 5(10), pages 1179-1185, October.
  • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:10:id:62184
    DOI: 10.24018/ejeng.2020.5.10.2184
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62184
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62184/12508
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2020.5.10.2184?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:5:y:2020:i:10:id:62184. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.