Vidal's library
Title: A Practical Multiagent Model for Resilience in Commercial Supply Networks
Author: Andrew Smith and José M. Vidal
Book Tittle: Proceedings of the Twelfth International Workshop on Agent-Mediated Electronic Commerce
Year: 2010
Abstract: As commercial supply chains grow into complex global supply networks, more and greater risks are introduced for cooperating and competing companies alike. These networks can be affected by events such as natural disasters, terrorism, and of late, economic downturn. Supply industry leaders, such as IBM, have announced a need for methods to identify and prevent risks in these ever-growing complex networks. Multiagent-based simulation lends itself perfectly to supply network modeling due to its autonomous nature. Our research illustrates a multiagent supply network formation technique using greedy supply agents and limited resource allocation. Using these formations, the resilience of each network is compared with others and assessed so that we may ascertain the characteristics of risky supply network structure. Our results show that an increase in relationship resources results in a more resilient network; however, as the amount of available resources increases, the risk of the most vulnerable agent in the network decreases by a smaller margin.



@InProceedings{smith10a,
  author =	 {Andrew Smith and Jos\'{e} M. Vidal},
  title =	 {A Practical Multiagent Model for Resilience in
                  Commercial Supply Networks},
  booktitle =	 {Proceedings of the Twelfth International Workshop on
                  Agent-Mediated Electronic Commerce},
  year =	 2010,
  abstract =	 { As commercial supply chains grow into complex
                  global supply networks, more and greater risks are
                  introduced for cooperating and competing companies
                  alike. These networks can be affected by events such
                  as natural disasters, terrorism, and of late,
                  economic downturn. Supply industry leaders, such as
                  IBM, have announced a need for methods to identify
                  and prevent risks in these ever-growing complex
                  networks. Multiagent-based simulation lends itself
                  perfectly to supply network modeling due to its
                  autonomous nature. Our research illustrates a
                  multiagent supply network formation technique using
                  greedy supply agents and limited resource
                  allocation. Using these formations, the resilience
                  of each network is compared with others and assessed
                  so that we may ascertain the characteristics of
                  risky supply network structure. Our results show
                  that an increase in relationship resources results
                  in a more resilient network; however, as the amount
                  of available resources increases, the risk of the
                  most vulnerable agent in the network decreases by a
                  smaller margin.},
  url = 	 {http://jmvidal.cse.sc.edu/papers/smith10a.pdf}
}
Last modified: Wed Mar 9 10:16:59 EST 2011