Studies on the Supply Chain Risk Management Using Complex Network
Yi Cong-qin,
Meng Shao-dong () and
Zhang Da-min
Additional contact information
Yi Cong-qin: Shanghai Ocean University
Meng Shao-dong: Customs Management Department of Shanghai Customs College
Zhang Da-min: GuiZhou University
A chapter in LISS 2012, 2013, pp 181-187 from Springer
Abstract:
Abstract The complexity of supply chain networks become increasingly vulnerable to the invasion of various types of risks and thus the supply chain risk management (SCRM) is widespread concerned in academia and industry. Our contribution reveal the source of the supply chain risk through a complex supply chain network modeling evolution, identify the key nodes in the supply chain network, and improve the ability to resist risks in supply chain network by working closely with key nodes and increasing network resilience.
Keywords: Complex network; Supply chain risk; Key nodes; Network resilience (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_27
Ordering information: This item can be ordered from
http://www.springer.com/9783642320545
DOI: 10.1007/978-3-642-32054-5_27
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().