DocumentCode :
2291671
Title :
Influence of prognostic health management on logistic supply chain
Author :
Khalak, Asif ; Tierno, Jorge
Author_Institution :
Sci. Monitoring, Inc., Scottsdale, AZ
fYear :
2006
fDate :
14-16 June 2006
Abstract :
In this paper, we discuss the problem of determining performance metrics for preemptive condition-based maintenance, also referred to as prognostic health maintenance (PHM). This performance is tightly coupled to the properties of the logistics supply chain. Further, the optimal supply chain design is, in fact, sensitive to the capabilities of the PHM system. We formulate this joint optimization problem, which can be shown to be equivalent to a shortest path problem (SPP). The properties of the solution elucidate the design tradeoffs in using damage prediction technologies in the overall health management solution
Keywords :
cost optimal control; cost-benefit analysis; health care; optimisation; supply chains; damage prediction; joint optimization problem; logistic supply chain; optimal supply chain design; preemptive condition-based maintenance; prognostic health management; shortest path problem; Costs; Life estimation; Logistics; Measurement; Monitoring; Prognostics and health management; Sensor systems; Shortest path problem; Supply chain management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1657300
Filename :
1657300
Link To Document :
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