## 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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Page 261

by />U) = £. />(2) = £, p(3) = □&, p(4) = 4 and p(5) = ^ (a) PlotpW. (fc) Compute

and plot F(x). (c) Compute P(1.4 < X < 4.2), £(X), and Var(X). 4.2.

...

**Suppose**that X is a discrete random variable with probability mass function givenby />U) = £. />(2) = £, p(3) = □&, p(4) = 4 and p(5) = ^ (a) PlotpW. (fc) Compute

and plot F(x). (c) Compute P(1.4 < X < 4.2), £(X), and Var(X). 4.2.

**Suppose**that X...

Page 548

A + <o A + a> Thus, the distribution of Y(t) depends on both t and Y(0). By letting t

— » » in these equations, compute the steady-state distribution of Y(t). Does it

depend on K(0)? 93. In Example 9.9,

A + <o A + a> Thus, the distribution of Y(t) depends on both t and Y(0). By letting t

— » » in these equations, compute the steady-state distribution of Y(t). Does it

depend on K(0)? 93. In Example 9.9,

**suppose**that condition (ft) is violated.Page 703

parts. What is the probability distribution of the number of parts produced before

the first jam and what is its mean? Thus, if the average number of parts produced

...

**Suppose**that a part has a probability/? of jamming, independently of all otherparts. What is the probability distribution of the number of parts produced before

the first jam and what is its mean? Thus, if the average number of parts produced

...

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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