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. |
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Contents
FixedIncrement Time Advance | 93 |
Problems | 99 |
Modeling Complex Systems | 106 |
Copyright | |
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Common terms and phrases
actually algorithm alternative applications approach approximately arrival assume average busy called Chap complete confidence interval configurations contains continuous correlation cost define delay density described desired determine discrete discussed distribution function effect estimate event event list example expected experiments exponential factors FIGURE fitted give given idle independent initial input interarrival inventory length machine manufacturing mean measures method minutes normal Note observations obtain occur operation output parameters particular percent performance plot possible Prob probability problem procedure produce queue random numbers random variables record replications response sample server simulation model specified station statistical steady-state stream Suppose Table tion valid variance variates
Bibliographic information
| Title | Simulation Modeling and Analysis McGraw-Hill international series McGraw-Hill series in industrial engineering and management science |
| Authors | Averill M. Law, Averill M.. Law, W. DAVID AUTOR KELTON, W. David Kelton, David M Kelton |
| Edition | 3, illustrated |
| Publisher | McGraw-Hill, 2000 |
| ISBN | 0070592926, 9780070592926 |
| Length | 760 pages |
| Subjects | › Computers / Computer Engineering Technology & Engineering / Engineering (General) |
| Export Citation | BiBTeX EndNote RefMan |