## 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 83

Development and evaluation of distributed processing in simulation is currently

an active area of research. ... 1.7 STEPS IN A SOUND

that we have looked in some detail at the inner workings of a discrete-event ...

Development and evaluation of distributed processing in simulation is currently

an active area of research. ... 1.7 STEPS IN A SOUND

**SIMULATION STUDY**Nowthat we have looked in some detail at the inner workings of a discrete-event ...

Page 92

In a

than would generally be possible when experimenting with the system itself (see

Chap. 11). •

In a

**simulation**we can maintain much better control over experimental conditionsthan would generally be possible when experimenting with the system itself (see

Chap. 11). •

**Simulation**allows us to**study**a system with a long time frame ...Page 276

This approach has the following benefits: • When a

there may not be a clear idea of the problem to be solved. Thus, as the study

proceeds and the nature of the problem becomes clearer, this information should

be ...

This approach has the following benefits: • When a

**simulation study**is initiated,there may not be a clear idea of the problem to be solved. Thus, as the study

proceeds and the nature of the problem becomes clearer, this information should

be ...

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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