Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice / Edition 1

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Overview

The Handbook of Simulation brings together the contributions of leading academics, practitioners, and software developers to offer authoritative coverage of the principles, techniques, and uses of discrete-event simulation. Comprehensive in scope and thorough in approach, the Handbook is the one reference on discrete-event simulation that every industrial engineer, management scientist, computer scientist, operations manager, or operations researcher involved in problem-solving should own.

"Written by 33 leading professionals, this handbook takes yo through step-by-step every aspect of simulation from basic principles to the latest applications."

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Editorial Reviews

Booknews
Provides a reference to important topics in simulation of discrete- event systems. Contributors come from academia, industry, and software development. Material is arranged in sections on principles, methodology, recent advances, application areas, and the practice of simulation. Topics include object-oriented simulation, software for simulation, simulation modeling, and experimental design. Applications explored are in fields such as transportation, healthcare, and the military. Includes guidelines for project management, and a list of software vendors. Co-published by Engineering and Management Press. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780471134039
  • Publisher: Wiley
  • Publication date: 9/28/1998
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 864
  • Product dimensions: 6.44 (w) x 9.45 (h) x 1.79 (d)

Meet the Author

JERRY BANKS is a professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology. He has taught simulation at the university level and in short courses for many years. He is a frequent author on the topic and a longtime consultant in the area.
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Table of Contents

Preface
Contributors
1 Principles of Simulation 3
2 Principles of Simulation Modeling 31
3 Input Data Analysis 55
4 Random Number Generation 93
5 Random Variate Generation 139
6 Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models 173
7 Output Data Analysis 225
8 Comparing Systems via Simulation 273
9 Simulation Optimization 307
10 Verification, Validation, and Testing 335
11 Object-Oriented Simulation 397
12 Parallel and Distributed Simulation 429
13 On-Line Simulation: Need and Evolving Research Requirements 465
14 Simulation of Manufacturing and Material Handling Systems 519
15 Simulation in the Automobile Industry 547
16 Simulation of Logistics and Transportation Systems 571
17 Simulation of Healthcare 605
18 Simulation of Service Systems 629
19 Military Simulation 645
20 Discrete-Event Simulation of Computer and Communication Systems 659
21 Simulation and Scheduling 677
22 Guidelines for Success 721
23 Managing the Simulation Project 745
24 How Discrete-Event Simulation Software Works 765
25 Software for Simulation 813
Index 837
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