Simulation Modeling and Analysis
Series: IRWIN INDUSTRIAL ENGINEERING;
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74 290 Ft
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Product details:
- Edition number 5
- Publisher McGraw-Hill Education
- Date of Publication 16 February 2014
- ISBN 9780073401324
- Binding Hardback
- No. of pages800 pages
- Size 241x172x41 mm
- Weight 1168 g
- Language English 0
Categories
Long description:
Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study. The book is widely regarded as the ?bible? of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.
Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study. The book is widely regarded as the ?bible? of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.
Table of Contents:
1) Basic Simulation Modeling
2) Modeling Complex Systems
3) Simulation Software
4) Review of Basic Probability and Statistics
5) Building Valid, Credible, and Appropriately Detailed Simulation Models
6) Selecting Input Probability Distributions
7) Random-Number Generators
8) Generating Random Variates
9) Output Data Analysis for a Single System
10) Comparing Alternative System Configurations
11) Variance-Reduction Techniques
12) Experimental Design, Sensitivity Analysis, and Optimization
13) Simulation of Manufacturing Systems
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