## 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 88

Page 7

For the objective of estimating the average delay of a customer, the state

variables for a discrete-event simulation model of the facility would be the status

of the server, i.e., either idle or busy, the

be ...

For the objective of estimating the average delay of a customer, the state

variables for a discrete-event simulation model of the facility would be the status

of the server, i.e., either idle or busy, the

**number of customers**waiting in queue tobe ...

Page 142

An arriving customer joins the shortest queue, choosing the leftmost shortest

queue in case of ties. Let n, be the total

including customers in queue as well as the customer in service, if any) at a

particular ...

An arriving customer joins the shortest queue, choosing the leftmost shortest

queue in case of ties. Let n, be the total

**number of customers**in front of teller i (including customers in queue as well as the customer in service, if any) at a

particular ...

Page 144

single sampst variable: sampst variable number Meaning Delay in queue (or

queues) By using sampst, we will automatically get the ... We also want to get the

time-average total

single sampst variable: sampst variable number Meaning Delay in queue (or

queues) By using sampst, we will automatically get the ... We also want to get the

time-average total

**number of customers**in queue, which is computed as follows.### What people are saying - Write a review

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### Contents

Basic Simulation Modeling | 1 |

FixedIncrement Time Advance | 93 |

Problems | 99 |

Copyright | |

21 other sections not shown

### Other editions - View all

### 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