## Simulation modeling and analysisThis authoritative, comprehensive, and thoroughly up-to-date guide addresses all the important aspects of a simulation study, including modeling, simulation languages, validation, input probability distribution, and analysis of simulation output data. Full scale treatments of manufacturing systems simulation and simulation software and animation are also included along with useful and instructive case studies. |

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Results 1-3 of 88

Page 28

The interarrival and service times will now be modeled as independent random

variables from exponential distributions with mean 1 minute for the interarrival

times and mean 0.5 minute for the service times. The

...

The interarrival and service times will now be modeled as independent random

variables from exponential distributions with mean 1 minute for the interarrival

times and mean 0.5 minute for the service times. The

**exponential distribution**with...

Page 240

The uniform random variable on [0, 1] is fundamental to simulation, since it is the

basis for generating any random quantity on a computer (see Chaps. 7 and 8).

example 4.8. In Chap. 1 the

interarrival ...

The uniform random variable on [0, 1] is fundamental to simulation, since it is the

basis for generating any random quantity on a computer (see Chaps. 7 and 8).

example 4.8. In Chap. 1 the

**exponential random**variable was used forinterarrival ...

Page 390

If {N(t), f s 0} is a Poisson process, then the number of arrivals in any time interval

of length s is a Poisson random ... We now see that the interarrival times for a

Poisson process are IID

80) ...

If {N(t), f s 0} is a Poisson process, then the number of arrivals in any time interval

of length s is a Poisson random ... We now see that the interarrival times for a

Poisson process are IID

**exponential random**variables; see Ģinlar (1975, pp. 79-80) ...

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### Contents

Basic Simulation Modeling | 1 |

FixedIncrement Time Advance | 93 |

Problems | 99 |

Copyright | |

21 other sections not shown

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### Common terms and phrases

acceptance-rejection method algorithm alias method approach average delay batch Chap confidence interval configurations correlation covariance-stationary define delay in queue density function discrete discussed in Sec distribution function estimate event list event type example exponential distribution exponential random factors FIFO FIGURE forklift FORTRAN fprintf(outfile gamma gamma distribution given histogram idle independent initial integer interarrival inverse-transform method job type machine manufacturing system mean metamodel Note number in queue number of customers observations obtain output data percent confidence interval plot Poisson process Prob probability procedure Q-Q plot queueing model queueing system random numbers random variables replications sample sampst scale parameter scheduled server sim_time simlib simulation simulation model simulation packages simulation run simulation study single-server queueing specified station statistical steady-state stochastic stochastic process Suppose Table teller throughput tion update valid variance variates vector Weibull Weibull distribution