## Simulation of Queuing Systems |

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### Contents

metric distribution 20 | 20 |

criticalevent method 24 simulation by | 35 |

ANALYSIS OF A SIMULATION | 49 |

1 other sections not shown

### Common terms and phrases

actual system approximation arrival and service arrival rate assumed automatic computer calculated CALL RANDM channel is empty confidence limits cost/sample critical event cumulative distribution function determined distributed random numbers ebtt equal equations Erlangian distribution estimates exponential arrivals exponential channels exponentially distributed random Figure 22 flow chart Fortran program hypergeometric distribution increased infinite queue large number mean and variance mean arrival mean number mean of 1/X mean service mean waiting min/arrival minutes Monte Carlo method normally distributed number of arrivals number of channels number of docks number of iterations number of samples number of service number of trucks o«iaav parameters Poisson distribution queuing theory random arrival random exponential number random hypergeometric numbers random service reference result service channel simple queuing systems simu steady state conditions total number total waiting truck dock problem Truck Dock Simulation truck was incoming truck was large unit is discharged Var(XY waNva zero