## 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. |

### From inside the book

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Page 289

Their

being used to validate the model [see also Balci and Sargent (1981, 1983)]. Two

difficulties with the above replication

Their

**approach**is also applicable when several measures of performance arebeing used to validate the model [see also Balci and Sargent (1981, 1983)]. Two

difficulties with the above replication

**approach**are that it may require a large ...Page 296

If it is possible to collect data on an input random variable of interest, these data

can be used in one of the following

increasing order of desirability): 1. The data values themselves are used directly

in the ...

If it is possible to collect data on an input random variable of interest, these data

can be used in one of the following

**approaches**to specify a distribution (inincreasing order of desirability): 1. The data values themselves are used directly

in the ...

Page 525

1016) for further discussion]. Glynn (1988) discusses a related method where a

one-time pass through the "transient period" is used to specify the starting

conditions for subsequent replications. 9.5.2 Replication/Deletion

Means ...

1016) for further discussion]. Glynn (1988) discusses a related method where a

one-time pass through the "transient period" is used to specify the starting

conditions for subsequent replications. 9.5.2 Replication/Deletion

**Approach**forMeans ...

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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