IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6596483.html
   My bibliography  Save this article

Improve the Resilience of Multilayer Supply Chain Networks

Author

Listed:
  • Hui Xia

Abstract

Due to the increasingly complex and dynamic features of global supply chain networks, it is challenging to provide high supply availability and network connectivity under unexpected disruptions. In this paper, we investigate how to improve the topology resilience of the supply chain network from its multilayer nature. We firstly conduct the study on the connectedness in the supply chain network from a topological perspective and adopt the - core method to decompose the network into multiple layers. Then, we propose a layer-based rewiring algorithm to recover the network from disruptions. The experimental results in the real supply chain network show that our design greatly improves the network resilience under both random and targeted disruptions.

Suggested Citation

  • Hui Xia, 2020. "Improve the Resilience of Multilayer Supply Chain Networks," Complexity, Hindawi, vol. 2020, pages 1-9, January.
    • Handle: RePEc:hin:complx:6596483
    DOI: 10.1155/2020/6596483
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/6596483.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2020/6596483.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/6596483?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. Mohammed Alkahtani, 2022. "Supply Chain Management Optimization and Prediction Model Based on Projected Stochastic Gradient," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    2. Zhimei Lei & Li Cui & Jing Tang & Lujie Chen & Bingbing Liu, 2024. "Supply chain resilience in the context of I4.0 and I5.0 from a multilayer network ripple effect perspective," Annals of Operations Research, Springer, vol. 342(2), pages 1149-1192, November.

    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:complx:6596483. 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.