4.2.4 A component of a computer has an active life, measured in discrete units, that is a random variable έ, where k = 1 Pr{=k} = 0.1 2 3 4 0.3 0.2 0.4 Suppose that one starts with a fresh component, and each component is replaced by a new component upon failure. Let X be the remaining life of the component in service at the end of period n. When X₁ = 0, a new item is placed into service at the start of the next period. (a) Set up the transition probability matrix for {X}. (b) By showing that the chain is regular and solving for the limiting distribution, determine the long run probability that the item in service at the end of a period has no remaining life and therefore will be replaced. (c) Relate this to the mean life of a component.

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4.2.4 A component of a computer has an active life, measured in discrete units, that
is a random variable έ, where
k = 1
Pr{=k} = 0.1
2
3
4
0.3 0.2 0.4
Suppose that one starts with a fresh component, and each component is replaced
by a new component upon failure. Let X be the remaining life of the component
in service at the end of period n. When X₁ = 0, a new item is placed into service
at the start of the next period.
(a) Set up the transition probability matrix for {X}.
(b) By showing that the chain is regular and solving for the limiting distribution,
determine the long run probability that the item in service at the end of a
period has no remaining life and therefore will be replaced.
(c) Relate this to the mean life of a component.
Transcribed Image Text:4.2.4 A component of a computer has an active life, measured in discrete units, that is a random variable έ, where k = 1 Pr{=k} = 0.1 2 3 4 0.3 0.2 0.4 Suppose that one starts with a fresh component, and each component is replaced by a new component upon failure. Let X be the remaining life of the component in service at the end of period n. When X₁ = 0, a new item is placed into service at the start of the next period. (a) Set up the transition probability matrix for {X}. (b) By showing that the chain is regular and solving for the limiting distribution, determine the long run probability that the item in service at the end of a period has no remaining life and therefore will be replaced. (c) Relate this to the mean life of a component.
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