Simulation Modeling and AnalysisThis thoroughly up-to-date guide addresses all 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, simulation software, and animation are also included along with useful and instructive case studies. |
Contents
FixedIncrement Time Advance | 93 |
Problems | 99 |
Modeling Complex Systems | 106 |
Copyright | |
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Common terms and phrases
a₂ acceptance-rejection method algorithm alias method approach arrival average delay 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 expected exponential distribution factors FIFO FIGURE forklift FORTRAN fprintf outfile gamma gamma distribution histogram idle independent initial integer interarrival inverse-transform method M/M/1 queue machine manufacturing system mean metamodel number in queue number of customers observations obtain output data percent confidence interval plot Poisson process Prob probability Q-Q plot queueing model queueing system random numbers random variables replications sample sampst scale parameter server sim_time simlib simulation simulation model simulation packages simulation run single-server queueing specified station statistical steady-state stochastic stochastic process Table teller timest tion U₁ variance variates vector void Weibull distribution X₁ Y₁ Y₂