IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v35y2025i2p55-92id3.html
   My bibliography  Save this article

Solution of an uncertain EPQ model using the neutrosophic differential equation approach

Author

Listed:
  • Mostafijur Rahaman
  • Rakibul Haque
  • Soheil Salahshour
  • Anna Sobczak
  • Fariba Azizzadeh
  • Shariful Alam
  • Sankar Prasad Mondal

Abstract

Time is a very crucial factor in controlling demand patterns for certain products. In manufacturing processes, the production rate must be regulated according to the demand pattern and available stock as a part of effective lot size management policies. We incorporate this fundamental idea for constructing the production rate as a function of demand and stock, which is the primary contribution of this paper. Predicting demand patterns and adjusting the production rate inherently involve vagueness. We use neutrosophic logic, an advanced mathematical tool for addressing imprecision in decision planning. Neutrosophic calculus-based analysis of uncertainty involved with the proposed model is the secondary contribution in this paper. Numerical results indicate that the proposed approach yields superior results compared to the crisp environment and traditional neutrosophic approaches for cost minimization. Furthermore, it is worth noting that Case 1 of the proposed neutrosophic differential approach guarantees better results than Case 2.

Suggested Citation

  • Mostafijur Rahaman & Rakibul Haque & Soheil Salahshour & Anna Sobczak & Fariba Azizzadeh & Shariful Alam & Sankar Prasad Mondal, 2025. "Solution of an uncertain EPQ model using the neutrosophic differential equation approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 35(2), pages 55-92.
    • Handle: RePEc:wut:journl:v:35:y:2025:i:2:p:55-92:id:3
    DOI: 10.37190/ord250203
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no2_3.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.37190/ord250203?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:wut:journl:v:35:y:2025:i:2:p:55-92:id:3. 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.html .

    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.