OPTIMAL RANDOMIZED REPLACEMENT UNDER MARKOVIAN DETERIORATION.
Rept. for Jul 63-Dec 64,
COLUMBIA UNIV NEW YORK SCHOOL OF ENGINEERING AND APPLIED SCIENCE
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The nature of the optimal replacement rules for a system subject to Markovian deterioration and failure is studied. It is shown that under a generalized aging property a randomized control limit rule maximizes the expected cycle length of the system subject to an upper bound on the probability of failure. Author