TY - GEN
T1 - Achieving resilience for a class of serial production networks
AU - Hu, Yao
AU - Li, Jingshan
AU - Holloway, Lawrence E.
PY - 2010
Y1 - 2010
N2 - This paper studies real-time operation to achieve resilience in a class of serial production networks. Although resilience has been studied extensively, a systematic method to model and analyze the resilient dynamics during disruption and corresponding control policies to achieve quick recovery in manufacturing enterprises is not well developed. In this paper, we present an optimal control policy to achieve resilience in a production network with a series of suppliers and producers.
AB - This paper studies real-time operation to achieve resilience in a class of serial production networks. Although resilience has been studied extensively, a systematic method to model and analyze the resilient dynamics during disruption and corresponding control policies to achieve quick recovery in manufacturing enterprises is not well developed. In this paper, we present an optimal control policy to achieve resilience in a production network with a series of suppliers and producers.
KW - Control
KW - Modeling
KW - Resilience
KW - Serial production network
UR - https://www.scopus.com/pages/publications/77957783981
UR - https://www.scopus.com/pages/publications/77957783981#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:77957783981
SN - 9781424474264
T3 - Proceedings of the 2010 American Control Conference, ACC 2010
SP - 5326
EP - 5331
BT - Proceedings of the 2010 American Control Conference, ACC 2010
T2 - 2010 American Control Conference, ACC 2010
Y2 - 30 June 2010 through 2 July 2010
ER -