A Markov decision model for intruder location in IP networks

Author(s):  
T. Darling ◽  
M.A. Shayman
2016 ◽  
Vol 14 (1) ◽  
pp. 87-95.e2 ◽  
Author(s):  
Caroline S. Andeweg ◽  
Johannes Groenewoud ◽  
Gert Jan van der Wilt ◽  
Harry van Goor ◽  
Robert P. Bleichrodt

Author(s):  
Yunyi Kang ◽  
Feng Ju

In this work, we develop preventative maintenance policies on two-machine-and-one-buffer production systems with machines subject to multi-stage degradation. Condition-based maintenance policies are generated for both machines, with consideration on both the machine degradation stages and the buffer level. Moreover, the policies are flexible, allowing a machine to be recovered to any better operating state, while merely recovering to the best operating state is possible in many previous work. A Markov decision model is formulated to find the optimal maintenance policy and computational experiments show that the policies improve the performance of a system in finite production runs.


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