5. consider the example below, where the states are Condition State and the transition matrix is 0 1 2 3 Good as new Operable-minimum deterioration πto = Operable major deterioration Inoperable and replaced by a good-as-new machine P = we found that the steady-state probabilities are 2 π1 13' 0 0 0 1 7 13 78314 0 1 1 8 16 16 0 HAIRLINO HTBLINO 1 1 8 8 1 1 2 π₂ = 2 13' T3 = 2 13 (a) Find the expected recurrence time for state 0 (i.e., the expected length of time a machine can be used before it must be replaced) by solving a linear system for Moo, 10, 20, and μ30. 1 (b) Find the expected recurrence time for state 0 directly by the formula μ0o = TTO

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5. consider the example below, where the states are
Condition
State
and the transition matrix is
0
1
23
2
Πο
Good as new
Operable-minimum deterioration
Operable-major deterioration
Inoperable and replaced by a good-as-new machine
we found that the steady-state probabilities are
2
13'
T1=
=
P =
78314
00
1 0
7
13'
HARTNO
LELBLINO
1
16
1
1 1
1
16
8 8
0
2 2
=
π2
2
13'
I3 =
2
13
(a) Find the expected recurrence time for state 0 (i.e., the expected length of time a machine can be used
before it must be replaced) by solving a linear system for Moo, M10, 20, and μ30.
(b) Find the expected recurrence time for state O directly by the formula Moo
1
πο
=
Transcribed Image Text:5. consider the example below, where the states are Condition State and the transition matrix is 0 1 23 2 Πο Good as new Operable-minimum deterioration Operable-major deterioration Inoperable and replaced by a good-as-new machine we found that the steady-state probabilities are 2 13' T1= = P = 78314 00 1 0 7 13' HARTNO LELBLINO 1 16 1 1 1 1 16 8 8 0 2 2 = π2 2 13' I3 = 2 13 (a) Find the expected recurrence time for state 0 (i.e., the expected length of time a machine can be used before it must be replaced) by solving a linear system for Moo, M10, 20, and μ30. (b) Find the expected recurrence time for state O directly by the formula Moo 1 πο =
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