IDEAS home Printed from https://ideas.repec.org/a/wsi/igtrxx/v22y2020i02ns0219198920400095.html
   My bibliography  Save this article

A Bilevel Programming Model for a Cohesive Decision-Making on Strategic Pricing and Production Distribution Planning for a Small-Scale Supplier

Author

Listed:
  • Akhilesh Kumar

    (Department of Applied Mathematics, Delhi Technological University, Main Bawana Road, New Delhi 110042, Delhi, India2Department of Mathematics, Arignar Anna Government Arts & Science College, Karaikal 609605, Puducherry, India)

  • Anjana Gupta

    (Department of Applied Mathematics, Delhi Technological University, Main Bawana Road, New Delhi 110042, Delhi, India)

  • Aparna Mehra

    (Department of Mathematics, Indian Institute of Technology, Hauz Khas, New Delhi 110016, Delhi, India)

Abstract

This research develops a decision support for strategic pricing and aggregate production distribution planning for a small-scale supplier intending to penetrate into a potential market engendered by a single buyer. A novel mixed integer bilevel programming model is proposed to formulate the problem in which the supplier is considered as a leader and the buyer is a follower. The proposed model subsumes the assessment of demand share against the price quotation, enabling the supplier to prepare an aggregate production distribution plan accordingly. An integer coded genetic algorithm is used to solve the model and its implementation is exhibited through a test scenario.

Suggested Citation

  • Akhilesh Kumar & Anjana Gupta & Aparna Mehra, 2020. "A Bilevel Programming Model for a Cohesive Decision-Making on Strategic Pricing and Production Distribution Planning for a Small-Scale Supplier," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-34, June.
    • Handle: RePEc:wsi:igtrxx:v:22:y:2020:i:02:n:s0219198920400095
    DOI: 10.1142/S0219198920400095
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219198920400095
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219198920400095?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
    ---><---

    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:wsi:igtrxx:v:22:y:2020:i:02:n:s0219198920400095. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/igtr/igtr.shtml .

    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.