IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v71y1997i0p317-33410.1023-a1018927700552.html
   My bibliography  Save this article

Hierarchical constraint satisfaction of multilateral trade matching in commodity auction markets

Author

Listed:
  • Young Ryu

Abstract

A commodity auction market provides a trading intermediary whose role is to find optimal trade matching between buyers and sellers that satisfies their trading constraints. Some commodity auction markets utilize forms of electronic trading intermediary systems in order to improve the efficiency and effectiveness of trading of huge volumes of transactions during short periods of time. Previous research works on electronic trading intermediary systems focus on the maximization of the trade volume obtained by satisfying mainly price and quantity constraints. The principal restriction of these approaches is that the heterogeneity of the commodity is ignored or at least not significantly considered. The objective of the study in this paper is to propose a computable mechanism of trading inter-mediaries for commodity auction markets, supporting not only ordinary trading constraints of prices and quantities but also other qualitative and quantitative constraints on the commodity properties and trading conditions. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Young Ryu, 1997. "Hierarchical constraint satisfaction of multilateral trade matching in commodity auction markets," Annals of Operations Research, Springer, vol. 71(0), pages 317-334, January.
    • Handle: RePEc:spr:annopr:v:71:y:1997:i:0:p:317-334:10.1023/a:1018927700552
    DOI: 10.1023/A:1018927700552
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1018927700552
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1018927700552?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng, Meng & Xu, Su Xiu & Huang, George Q., 2016. "Truthful multi-unit multi-attribute double auctions for perishable supply chain trading," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 21-37.

    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:spr:annopr:v:71:y:1997:i:0:p:317-334:10.1023/a:1018927700552. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.