Simulation Modeling and Analysis https://www.mheducation.com/cover-images/Jpeg_400-high/0073401323.jpeg 5 9780073401324 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

Simulation Modeling and Analysis

5th Edition
By Averill Law
ISBN10: 0073401323
ISBN13: 9780073401324
Copyright: 2015
09780073401324

Purchase Options

Students, we’re committed to providing you with high-value course solutions backed by great service and a team that cares about your success. See tabs below to explore options and pricing. Don't forget, we accept financial aid and scholarship funds in the form of credit or debit cards.

Hardcopy

Receive via shipping:

  • Bound book containing the complete text
  • Full color
  • Hardcover or softcover

What are my shipping options?


ISBN10: 0073401323 | ISBN13: 9780073401324

Purchase

$144.00

The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

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