Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice (Repost)

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 1–30): Jerry BanksChapter 2 Principles of Simulation Modeling (pages 31–51): A. Alan B. PritskerChapter 3 Input Data Analysis (pages 53–91): Stephen VincentChapter 4 Random Number Generation (pages 93–137): Pierre L'EcuyerChapter 5 Random Variate Generation (pages 139–172): Russell C. H. ChengChapter 6 Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models (pages 173–223): Jack P. C. KleijnenChapter 7 Output Data Analysis (pages 225–272): Christos Alexopoulos and Andrew F. SeilaChapter 8 Comparing Systems via Simulation (pages 273–306): David Goldsman and Barry L. NelsonChapter 9 Simulation Optimization (pages 307–333): Sigrun AndradottirChapter 10 Verification, Validation, and Testing (pages 335–393): Osman BalciChapter 11 Object?Oriented Simulation (pages 395–427): Jeffrey A. Joines and Stephen D. RobertsChapter 12 Parallel and Distributed Simulation (pages 429–464): Richard M. FujimotoChapter 13 On?Line Simulation: Need and Evolving Research Requirements (pages 465–516): Wayne J. DavisChapter 14 Simulation of Manufacturing and Material Handling Systems (pages 517–545): Matthew W. RohrerChapter 15 Simulation in the Automobile Industry (pages 547–570): Onur Ulgen and Ali GunalChapter 16 Simulation of Logistics and Transportation Systems (pages 571–604): Mani S. ManivannanChapter 17 Simulation in Healthcare (pages 605–627): Frank McGuireChapter 18 Simulation of Service Systems (pages 629–644): Ron Laughery, Beth Plott and Shelly Scott?NashChapter 19 Military Simulation (pages 645–658): Keebom Kang and Ronald J. RolandChapter 20 Discrete?Event Simulation of Computer and Communication Systems (pages 659–676): Alfred Hartmann and Herb SchwetmanChapter 21 Simulation and Scheduling (pages 677–717): Ali S. KiranChapter 22 Guidelines for Success (pages 719–743): Kenneth J. MusselmanChapter 23 Managing the Simulation Project (pages 745–764): Van Norman and Jerry BanksChapter 24 How Discrete?Event Simulation Software Works (pages 765–811): Thomas J. Schriber and Daniel T. BrunnerChapter 25 Software for Simulation (pages 813–835): Jerry Banks