IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v14y2015i04ns0219622014500369.html
   My bibliography  Save this article

Redesigning a Supply Chain Distribution Network: Formulation and Genetic Algorithm-Based Solution Procedure

Author

Listed:
  • Lina Zhou

    (School of Software, Harbin Institute of Technology, Harbin, Heilongjiang, P. R. China)

  • Xiaofei Xu

    (School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, P. R. China)

  • Shengchun Deng

    (School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, P. R. China)

  • Xudong Liu

    (School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, P. R. China)

Abstract

Distribution affects company cost and customer satisfaction. Distribution network design is a strategic concern for nearly all companies, and must be periodically reviewed to ensure fitness to today's rapidly changing business environment. Unlike most of previous research, this paper investigates a highly complicated and realistic distribution network, and develops a multi-objective model to achieve an effective redesign solution. Reconfiguring cost, service differentiation, multiple products, and optional capacity levels are simultaneously considered. A determinant code-based encoding structure is designed to represent the complicated multi-objective optimization problem, and a genetic algorithm (GA)-based procedure is developed as a solution. The paper provides an application example using actual data. Finally, a comparison between the empirical results and those of the Prüfer-based GA demonstrate the efficiency of the proposed GA.

Suggested Citation

  • Lina Zhou & Xiaofei Xu & Shengchun Deng & Xudong Liu, 2015. "Redesigning a Supply Chain Distribution Network: Formulation and Genetic Algorithm-Based Solution Procedure," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 847-876.
    • Handle: RePEc:wsi:ijitdm:v:14:y:2015:i:04:n:s0219622014500369
    DOI: 10.1142/S0219622014500369
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622014500369
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219622014500369?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:ijitdm:v:14:y:2015:i:04:n:s0219622014500369. 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/ijitdm/ijitdm.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.