ΠΠ½ΠΈΠ³Π° Handbook of Simulation: Principles, Methodology, Advances, Applications,... Handbook of Simulation: Principles, Methodology, Advances, Applications, and PracticeΠΠ½ΠΈΠ³ΠΈ ΠΠΈΠ·Π½Π΅Ρ ΠΊΠ½ΠΈΠ³ΠΈ ΠΠ²ΡΠΎΡ: Jerry Banks ΠΠΎΠ΄ ΠΈΠ·Π΄Π°Π½ΠΈΡ: 1998 Π€ΠΎΡΠΌΠ°Ρ: pdf ΠΠ·Π΄Π°Ρ.:Wiley-Interscience Π‘ΡΡΠ°Π½ΠΈΡ: 864 Π Π°Π·ΠΌΠ΅Ρ: 38,6 ISBN: 0471134
Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice
- Year
- 1998
- Tongue
- English
- Leaves
- 840
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The only complete guide to all aspects and uses of simulation-from the international leaders in the field
There has never been a single definitive source of key information on all facets of discrete-event simulation and its applications to major industries. 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, with an in-depth examination of:
* Simulation methodology, from experimental design to data analysis and more
* Recent advances, such as object-oriented simulation, on-line simulation, and parallel and distributed simulation
* Applications across a full range of manufacturing and service industries
* Guidelines for successful simulations and sound simulation project management
* Simulation software and simulation industry vendorsContent:
Chapter 1 Principles of Simulation (pages 1β30): Jerry Banks
Chapter 2 Principles of Simulation Modeling (pages 31β51): A. Alan B. Pritsker
Chapter 3 Input Data Analysis (pages 53β91): Stephen Vincent
Chapter 4 Random Number Generation (pages 93β137): Pierre L'Ecuyer
Chapter 5 Random Variate Generation (pages 139β172): Russell C. H. Cheng
Chapter 6 Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models (pages 173β223): Jack P. C. Kleijnen
Chapter 7 Output Data Analysis (pages 225β272): Christos Alexopoulos and Andrew F. Seila
Chapter 8 Comparing Systems via Simulation (pages 273β306): David Goldsman and Barry L. Nelson
Chapter 9 Simulation Optimization (pages 307β333): Sigrun Andradottir
Chapter 10 Verification, Validation, and Testing (pages 335β393): Osman Balci
Chapter 11 Object?Oriented Simulation (pages 395β427): Jeffrey A. Joines and Stephen D. Roberts
Chapter 12 Parallel and Distributed Simulation (pages 429β464): Richard M. Fujimoto
Chapter 13 On?Line Simulation: Need and Evolving Research Requirements (pages 465β516): Wayne J. Davis
Chapter 14 Simulation of Manufacturing and Material Handling Systems (pages 517β545): Matthew W. Rohrer
Chapter 15 Simulation in the Automobile Industry (pages 547β570): Onur Ulgen and Ali Gunal
Chapter 16 Simulation of Logistics and Transportation Systems (pages 571β604): Mani S. Manivannan
Chapter 17 Simulation in Healthcare (pages 605β627): Frank McGuire
Chapter 18 Simulation of Service Systems (pages 629β644): Ron Laughery, Beth Plott and Shelly Scott?Nash
Chapter 19 Military Simulation (pages 645β658): Keebom Kang and Ronald J. Roland
Chapter 20 Discrete?Event Simulation of Computer and Communication Systems (pages 659β676): Alfred Hartmann and Herb Schwetman
Chapter 21 Simulation and Scheduling (pages 677β717): Ali S. Kiran
Chapter 22 Guidelines for Success (pages 719β743): Kenneth J. Musselman
Chapter 23 Managing the Simulation Project (pages 745β764): Van Norman and Jerry Banks
Chapter 24 How Discrete?Event Simulation Software Works (pages 765β811): Thomas J. Schriber and Daniel T. Brunner
Chapter 25 Software for Simulation (pages 813β835): Jerry Banks
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