IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/5480135.html
   My bibliography  Save this article

Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information

Author

Listed:
  • Ming-fei Chen
  • Yan-qiu Liu
  • Yang Song
  • Qi Sun
  • Chuang-chuang Cong

Abstract

A production department and two distribution departments form a multimodal logistics supply network. The production department provides two ordering opportunities within one production cycle, and the real-time updates of demand information are required in the interval between two orders. Based on this, the paper studies the security inventory optimization problem of multimodal transport networks. On the basis of portraying the real-time information update process, the multimodal network optimization model without considering safety stock and the multimodal network optimization model considering safety stock are constructed, respectively, and the transshipment price and demand information of the intermodal network are updated. The parameters are analyzed for sensitivity. The analysis of examples shows that, on the one hand, with the update of demand information, the distribution department adopts the multimodal transport model with safety stock to improve the profit of the distribution department and the supply network. On the other hand, the production sector can meet market demand with a lower production scale, while the distribution department can effectively respond to stochastic demand through a multimodal model with safety stock.

Suggested Citation

  • Ming-fei Chen & Yan-qiu Liu & Yang Song & Qi Sun & Chuang-chuang Cong, 2019. "Multimodal Transport Network Optimization Considering Safety Stock under Real-Time Information," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-12, July.
  • Handle: RePEc:hin:jnddns:5480135
    DOI: 10.1155/2019/5480135
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2019/5480135.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2019/5480135.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/5480135?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
    ---><---

    Citations

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


    Cited by:

    1. Vitalii Naumov & Igor Taran & Yana Litvinova & Marek Bauer, 2020. "Optimizing Resources of Multimodal Transport Terminal for Material Flow Service," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    2. Shouchen Liu, 2023. "Multimodal Transportation Route Optimization of Cold Chain Container in Time-Varying Network Considering Carbon Emissions," Sustainability, MDPI, vol. 15(5), pages 1-20, March.

    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:jnddns:5480135. 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.