Vidal's libraryTitle: | 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