IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/758967.html
   My bibliography  Save this article

Research on Self-Organization in Resilient Recovery of Cluster Supply Chains

Author

Listed:
  • Liang Geng
  • Renbin Xiao
  • Shanshan Xie

Abstract

An effective way to deal with high-risk and low-probability disruptions is to create a resilient cluster supply chain, in which the study of resilience lies in its recovery mechanism when failures occur. First, the paper describes the representation method of cluster supply chain resilience. Second, a cluster supply chain network structure generation model is proposed. And based on cascading effect model, it makes analysis of dynamic evolution process when cluster supply chain failure happens. Then it focuses on the self-organization characteristic, which contributes to cluster supply chain emergence overall resilient recovery through local self-organization reconstruction behavior. We also make theoretical analysis of cluster supply chain network characteristics and its effect on the resilience, which helps to illustrate that the root of vulnerability lies in cascading failure while self-organization is the key to resilient recovery. Besides, with the study of self-organization characteristic, it provides theoretical guidance for local control and further achievement of overall resilient optimization.

Suggested Citation

  • Liang Geng & Renbin Xiao & Shanshan Xie, 2013. "Research on Self-Organization in Resilient Recovery of Cluster Supply Chains," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-11, November.
  • Handle: RePEc:hin:jnddns:758967
    DOI: 10.1155/2013/758967
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2013/758967.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2013/758967.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/758967?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. Mahmoud Barakat & Jialin Snow Wu & Nicoleta Tipi, 2023. "Empowering Clusters: How Dynamic Capabilities Drive Sustainable Supply Chain Clusters in Egypt," Sustainability, MDPI, vol. 15(24), pages 1-21, December.
    2. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Prioritization of Supply Chain Capabilities Using the FAHP Technique," Sustainability, MDPI, vol. 15(7), pages 1-19, April.

    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:758967. 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.