Handbook of Simulation
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More About This Title Handbook of Simulation
English
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 vendors
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 vendors
English
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.
English
PRINCIPLES.
Principles of Simulation (J. Banks).
Principles of Simulation Modeling (A. Pritsker).
METHODOLOGY.
Input Data Analysis (S. Vincent).
Random Number Generation (P. L'Ecuyer).
Random Variate Generation (R. Cheng).
Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models (J. Kleijnen).
Output Data Analysis (C. Alexopoulos & A. Seila).
Comparing Systems via Simulation (D. Goldsman & B. Nelson).
Simulation Optimization (S. Andradóttir).
Verification, Validation, and Testing (O. Balci).
RECENT ADVANCES.
Object-Oriented Simulation (J. Joines & S. Roberts).
Parallel and Distributed Simulation (R. Fujimoto).
On-Line Simulation: Need and Evolving Research Requirements (W. Davis).
APPLICATION AREAS.
Simulation of Manufacturing and Material Handling Systems (M. Rohrer).
Simulation in the Automobile Industry (O. Ulgen & A. Gunal).
Simulation of Logistics and Transportation Systems (M. Manivannan).
Simulation of Healthcare (F. McGuire).
Simulation of Service Systems (R. Laughery, et al.).
Military Simulation (K. Kang & R. Roland).
Discrete-Event Simulation of Computer and Communication Systems (A. Hartmann & H. Schwetman).
Simulation and Scheduling (A. Kiran).
PRACTICE OF SIMULATION.
Guidelines for Success (K. Musselman).
Managing the Simulation Project (V. Norman & J. Banks).
How Discrete-Event Simulation Software Works (T. Schriber & D. Brunner).
Software for Simulation (J. Banks).
Index.
Principles of Simulation (J. Banks).
Principles of Simulation Modeling (A. Pritsker).
METHODOLOGY.
Input Data Analysis (S. Vincent).
Random Number Generation (P. L'Ecuyer).
Random Variate Generation (R. Cheng).
Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models (J. Kleijnen).
Output Data Analysis (C. Alexopoulos & A. Seila).
Comparing Systems via Simulation (D. Goldsman & B. Nelson).
Simulation Optimization (S. Andradóttir).
Verification, Validation, and Testing (O. Balci).
RECENT ADVANCES.
Object-Oriented Simulation (J. Joines & S. Roberts).
Parallel and Distributed Simulation (R. Fujimoto).
On-Line Simulation: Need and Evolving Research Requirements (W. Davis).
APPLICATION AREAS.
Simulation of Manufacturing and Material Handling Systems (M. Rohrer).
Simulation in the Automobile Industry (O. Ulgen & A. Gunal).
Simulation of Logistics and Transportation Systems (M. Manivannan).
Simulation of Healthcare (F. McGuire).
Simulation of Service Systems (R. Laughery, et al.).
Military Simulation (K. Kang & R. Roland).
Discrete-Event Simulation of Computer and Communication Systems (A. Hartmann & H. Schwetman).
Simulation and Scheduling (A. Kiran).
PRACTICE OF SIMULATION.
Guidelines for Success (K. Musselman).
Managing the Simulation Project (V. Norman & J. Banks).
How Discrete-Event Simulation Software Works (T. Schriber & D. Brunner).
Software for Simulation (J. Banks).
Index.
