## 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 551

(d) Let M, be the

the replication/deletion approach to construct a point estimate and 90 percent

confidence interval for the steady-state mean daily

(d) Let M, be the

**throughput**for the ith 24-hour day. Use the data from part (c) andthe replication/deletion approach to construct a point estimate and 90 percent

confidence interval for the steady-state mean daily

**throughput**v = E(M) = 240.Page 670

However, this additional machine will also increase the

this station. This increased

rates to downstream work stations, which may cause new capacity shortages to ...

However, this additional machine will also increase the

**throughput**of parts fromthis station. This increased

**throughput**will, in turn, show up as increased arrivalrates to downstream work stations, which may cause new capacity shortages to ...

Page 691

Therefore, it is reasonable to ask whether all three machines are actually

necessary to achieve an expected

machine from station 2 for system design 3 (total number of machines is 15) and

obtained an ...

Therefore, it is reasonable to ask whether all three machines are actually

necessary to achieve an expected

**throughput**of 120. We first removed onemachine from station 2 for system design 3 (total number of machines is 15) and

obtained an ...

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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