The state of a particular continuous time Markov chain is defined as the number of jobs currently at a certain work center, where a maximum of two jobs are allowed. Jobs arrive individually. Whenever fewer than two jobs are present, the next arrival occurs at a mean rate of one in two days. Jobs are processed at the work center one at a time, at a mean rate of one per three days, and then leave immediately. (a) Develop the rate diagram for this Markov chain. (b) Write down time-dependent ordinary differential equations for this Markov chain. (c) Construct the steady-state equations. (d) Determine the the steady-state probabilities.

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The state of a particular continuous time Markov chain is defined as the number of jobs
currently at a certain work center, where a maximum of two jobs are allowed. Jobs arrive
individually. Whenever fewer than two jobs are present, the next arrival occurs at a mean
rate of one in two days. Jobs are processed at the work center one at a time, at a mean
rate of one per three days, and then leave immediately.
(a) Develop the rate diagram for this Markov chain.
(b) Write down time-dependent ordinary differential equations for this Markov chain.
(c) Construct the steady-state equations.
(d) Determine the the steady-state probabilities.
Transcribed Image Text:The state of a particular continuous time Markov chain is defined as the number of jobs currently at a certain work center, where a maximum of two jobs are allowed. Jobs arrive individually. Whenever fewer than two jobs are present, the next arrival occurs at a mean rate of one in two days. Jobs are processed at the work center one at a time, at a mean rate of one per three days, and then leave immediately. (a) Develop the rate diagram for this Markov chain. (b) Write down time-dependent ordinary differential equations for this Markov chain. (c) Construct the steady-state equations. (d) Determine the the steady-state probabilities.
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