IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v13y2020i2p180-198.html
   My bibliography  Save this article

Multi-objective optimisation approach as decision-making support for product mixing and raw material allocation planning

Author

Listed:
  • Sutrisno
  • Solikhin
  • Purnawan Adi Wicaksono

Abstract

This article is addressed to discuss a newly developed decision making support by using multi-objective optimisation approach for production planning and supplier selection problem of raw material. The problem faced is finding an optimal value for the planned production volume of each product at each time period and the raw material volume that should be purchased from each supplier for each type at each time period such that the total occurred cost is minimal and all occurred constraints are satisfied. We have solved the problem by finding the Pareto set to be the optimal solution by initially converting it into single objective optimisation by means of weighting method. From the computational simulation, the optimal decisions were obtained for all time periods which are the optimal volume of each raw material type that should be purchased from each available supplier, and the planned optimal volume of each product to be produced.

Suggested Citation

  • Sutrisno & Solikhin & Purnawan Adi Wicaksono, 2020. "Multi-objective optimisation approach as decision-making support for product mixing and raw material allocation planning," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 13(2), pages 180-198.
    • Handle: RePEc:ids:ijpman:v:13:y:2020:i:2:p:180-198
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106511
    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:ijpman:v:13:y:2020:i:2:p:180-198. 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=255 .

    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.