Summary: Stochastic Modelling Operation Management

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  • 1 Markov Chains

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  • What is meant with the steady state probabilities?

    Probabilities to describe long-run behaviour of a Markov chain.
  • Explain the objective of the mean first passage time and how you calculate it;

    Expected number of transitions before reaching state j given you are in state i.
  • What is the definition of a closed set and what is closed set in the image.

    When no state outside S is reachable from any state S. S1 and S2 are both closed sets.
  • What is the definition of an absorbing state?

    Whenever you enter an absorbing state you never leave the state. It is a closed set containing only one state.
  • What is the definition of a transient state?

    State i is transient when there exists a state j that is reachable from i but, i is not reachable from j. 

    There is a way to leave i but never return to i.
  • When is a chain called ergodic?

    When it communicates, is aperiodic recurrent.
  • What is the opposite of ergodic?

    Nonergodic
  • 2 Queuing theory

  • 2.1 Terminology

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  • What is meant with bulk arrivals

    More than one arrival can occur at a given instant (most of the time not allowed);
  • What is a finite source model

    Arrivals are drawn from small (most of the times ending) population;
  • What are balked customers?

    Customer arrives but fails to enter the system;
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