IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v46y2023i2p189-209.html
   My bibliography  Save this article

Aggregate production planning of Abu Ghraib Dairy factories based on forecasting and goal programming

Author

Listed:
  • Wakas Saad Khalaf
  • Mustafa G. Ali

Abstract

The aim of this article is to build a comprehensive multi-objective production plan for Al-Rafidain plant spanning 12 months based on two methods - the auto regression integrated moving averages (ARIMA) model to forecast the market demand for the products and the method of goal programming (GP) - to find compatible solutions among the goals to be achieved. The ready-made program MATLAB was used to find the future values of the time series and also to solve the multi-objective mathematical model. For the most important results achieved, the mathematical model was able to achieve the first goal by 97%, which was the maximisation of profits; the total profits achieved a value of USD3,625,856. The second goal was achieved successfully because of the decrease that occurred in the costs, the value of which was USD2,456,625. Finally, the third goal was achieved by 98%, in that the plant's return on investment was decreased to 1.476.

Suggested Citation

  • Wakas Saad Khalaf & Mustafa G. Ali, 2023. "Aggregate production planning of Abu Ghraib Dairy factories based on forecasting and goal programming," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 46(2), pages 189-209.
    • Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:189-209
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129156
    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:ijores:v:46:y:2023:i:2:p:189-209. 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=170 .

    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.