IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4225202.html
   My bibliography  Save this article

Research on Optimization of Intelligent Logistics Agile Distribution Model in Supply Chain Networks

Author

Listed:
  • Yun Ping Ai
  • Dong Yan Liu
  • Jia-Bao Liu
  • Yun Liu
  • Shaojian Qu

Abstract

In the supply chain environment, agile distribution refined the division of operations, responded quickly to the customer needs of the mobile terminal, and promoted the construction of an intelligent logistics distribution system. In order to integrate the distribution resources of the distribution system of the logistics industry and maximize the overall benefits of distribution, this paper designs an intelligent logistics agile distribution model and optimizes the distribution strategy. Firstly, this paper puts forward a rationalization evaluation system based on the established logistics agile distribution model. Make full use of the fuzzy subsets of each level to quantify the fuzzy indexes to evaluate, and then comprehensively clarify the index attributes through the fuzzy transformation criteria to obtain the evaluation results. Secondly, aiming at the networked agile distribution organization form, the scientific location mathematical model of agile distribution center and the path mathematical model of the agile distribution are established. Finally, the uncertain influence of many objective conditions on distribution agility has been analyzed, and the dynamic optimization model of an agile distribution path with the concept of time window under random demand is constructed. Through the experimental analysis, the rationalization evaluation strategy and index of verification test results show that the model has significant optimization advantages, which not only improve the rationality and economic benefits of distribution, but also meet the time requirements of all users.

Suggested Citation

  • Yun Ping Ai & Dong Yan Liu & Jia-Bao Liu & Yun Liu & Shaojian Qu, 2022. "Research on Optimization of Intelligent Logistics Agile Distribution Model in Supply Chain Networks," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, April.
  • Handle: RePEc:hin:jnlmpe:4225202
    DOI: 10.1155/2022/4225202
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/4225202.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/4225202.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/4225202?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:4225202. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.