IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-35548-6_89.html
   My bibliography  Save this book chapter

Study on Multi-Resolution and Multi-Objective Site Selection Model for Logistics Distribution Centre

In: Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Lian-fu Jiang

    (Shenzhen University)

  • Yong-jie Cui

    (Shenzhen University)

Abstract

According to the idea of multi-resolution model, the objective of the paper is to establish site selection model through the combination of qualitative and quantitative site selection methods to get the best site selection scheme of distribution centers. The primary site selection scheme is obtained by using Analytic Hierarchy Process which analyses the macro factors influencing the site selection. After the primary selection, the mixed integer programming is used to get the final site selection scheme. In the mixed integer programming model, besides basic influencing factors, environment protection, distribution centre management and customer satisfaction are considered. Genetic algorithm is used to solve the models which would be calculated in Matlab software to ensure the accuracy of model solution. In the end of the essay, the case study analysis illustrates that the effective combination and integration of qualitative and quantitative site selection methods could make the site model more comprehensive, more accurate and accord closer with practical situations.

Suggested Citation

  • Lian-fu Jiang & Yong-jie Cui, 2014. "Study on Multi-Resolution and Multi-Objective Site Selection Model for Logistics Distribution Centre," Springer Books, in: Jiayuan Wang & Zhikun Ding & Liang Zou & Jian Zuo (ed.), Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 869-876, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-35548-6_89
    DOI: 10.1007/978-3-642-35548-6_89
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:sprchp:978-3-642-35548-6_89. 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.