## 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

Results 1-3 of 93

Page 6

1.9) and is dealt with in Chaps. 9 through 12 of this book. • Continuous vs.

continuous simulation models analogously to the way

systems were ...

1.9) and is dealt with in Chaps. 9 through 12 of this book. • Continuous vs.

**Discrete**Simulation Models. Loosely speaking, we define**discrete**andcontinuous simulation models analogously to the way

**discrete**and continuoussystems were ...

Page 89

1.8.2 Combined

completely

model with aspects of both

1.8.2 Combined

**Discrete**-Continuous Simulation Since some systems are neithercompletely

**discrete**nor completely continuous, the need may arise to construct amodel with aspects of both

**discrete**-event and continuous simulation, resulting ...Page 471

(Their treatment is for a

applied to the present case.) The empirical/exponential distribution mentioned

briefly in Sec. 6.2.4 can also be inverted so that the inverse-transform method can

be ...

(Their treatment is for a

**discrete**empirical distribution function but can also beapplied to the present case.) The empirical/exponential distribution mentioned

briefly in Sec. 6.2.4 can also be inverted so that the inverse-transform method can

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