Title :
Achieving resilience for a class of serial production networks
Author :
Yao Hu ; Jingshan Li ; Holloway, L.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
fDate :
June 30 2010-July 2 2010
Abstract :
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.
Keywords :
optimal control; production control; manufacturing enterprise; optimal control policy; resilient dynamics; serial production network; Control systems; Fires; Hurricanes; Optimal control; Production; Redundancy; Resilience; Supply chains; Terrorism; Virtual manufacturing; Resilience; control; modeling; serial production network;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530745