TY - GEN
T1 - Collaborative self-configuration and learning in autonomic computing systems
T2 - 3rd International Conference on Autonomic Computing, ICAC 2006
AU - Arora, Hina
AU - Santanam, Raghu
AU - Vinze, Ajay
AU - Brittenham, Peter
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Efficient supply chains should be responsive to demand surges and supply disruptions resulting from internal and external vulnerabilities. Firms can respond to vulnerabilities by either, reallocating and redirecting existing capacity, or, maintaining redundant capacity. Responding to these disruptions depends on efficient real-time decision-making through information sharing and collaboration. The concept of Information Supply Chains captures this focus on information flows between the various entities in the supply chain. In this paper, we use autonomic principles of self-optimization and self-configuration to address demand surges in the context of healthcare information supply chains that have been disrupted by epidemics. We build a prototype system using a multi-agent systems platform and the Autonomic Computing Toolkit, to illustrate how autonomic computing approaches can facilitate resource allocation decisions in responding to public health emergencies.
AB - Efficient supply chains should be responsive to demand surges and supply disruptions resulting from internal and external vulnerabilities. Firms can respond to vulnerabilities by either, reallocating and redirecting existing capacity, or, maintaining redundant capacity. Responding to these disruptions depends on efficient real-time decision-making through information sharing and collaboration. The concept of Information Supply Chains captures this focus on information flows between the various entities in the supply chain. In this paper, we use autonomic principles of self-optimization and self-configuration to address demand surges in the context of healthcare information supply chains that have been disrupted by epidemics. We build a prototype system using a multi-agent systems platform and the Autonomic Computing Toolkit, to illustrate how autonomic computing approaches can facilitate resource allocation decisions in responding to public health emergencies.
KW - Public health emergency
KW - Supply chain vulnerability
UR - http://www.scopus.com/inward/record.url?scp=34247592598&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247592598&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34247592598
SN - 1424401755
SN - 9781424401758
T3 - Proceedings - 3rd International Conference on Autonomic Computing, ICAC 2006
SP - 303
EP - 304
BT - Proceedings - 3rd International Conference on Autonomic Computing, ICAC 2006
Y2 - 13 June 2006 through 16 June 2006
ER -