Humanities, Social Science and Language


Digital Products


Connect®
Course management, reporting, and student learning tools backed by great support.

ALEKS®
Personalize learning and assessment

ALEKS® Placement, Preparation, and Learning
Achieve accurate math placement

SIMnet
Ignite mastery of MS Office and IT skills

McGraw-Hill eBook & ReadAnywhere App
Get learning that fits anytime, anywhere

Services


Inclusive Access
Reduce costs and increase success

LMS Integration
Log in and sync up

Math Placement
Achieve accurate math placement

Content Collections powered by Create®
Curate and deliver your ideal content

Custom Courseware Solutions
Teach your course your way

Professional Services
Collaborate to optimize outcomes

Lecture Capture
Capture lectures for anytime access

Remote Proctoring
Validate online exams even offsite

Institutional Solutions
Increase engagement, lower costs, and improve access for your students

Support


General Help & Support Info
Customer Service & Tech Support contact information

Online Technical Support Center
FAQs, articles, chat, email or phone support

Support At Every Step
Instructor tools, training and resources for ALEKS, Connect & SIMnet

Instructor Sample Requests
Get step by step instructions for requesting an evaluation, exam, or desk copy

Platform System Check
System status in real time

Simulation Modeling and Analysis https://www.mheducation.com/cover-images/Jpeg_400-high/0073401323.jpeg 5 2015 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.
09780073401324
Simulation Modeling and Analysis
Simulation Modeling and Analysis

Simulation Modeling and Analysis, 5th Edition

ISBN10: 0073401323 | ISBN13: 9780073401324
By Averill Law
© 2015

Purchase Options:

* 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.

Additional Product Information:

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.

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

Connect

By prompting students to engage with key concepts, while continually adapting to their individual needs, Connect activates learning and empowers students to take control resulting in better grades and increased retention rates. Proven online content integrates seamlessly with our adaptive technology, and helps build student confidence outside of the classroom.

SmartBook® 2.0

Available within Connect, SmartBook 2.0 is an adaptive learning solution that provides personalized learning to individual student needs, continually adapting to pinpoint knowledge gaps and focus learning on concepts requiring additional study. SmartBook 2.0 fosters more productive learning, taking the guesswork out of what to study, and helps students better prepare for class. With the ReadAnywhere mobile app, students can now read and complete SmartBook 2.0 assignments both online and off-line. For instructors, SmartBook 2.0 provides more granular control over assignments with content selection now available at the concept level. SmartBook 2.0 also includes advanced reporting features that enable instructors to track student progress with actionable insights that guide teaching strategies and advanced instruction, for a more dynamic class experience.

Video tutorial:

Your text has great instructor tools, like presentation slides, instructor manuals, test banks and more. Follow the steps below to access your instructor resources or watch the step-by-step video.

Steps to access instructor resources:

  1. To get started, visit connect.mheducation.com to sign in. (If you do not have an account, request one from your McGraw Hill rep. To find your rep, visit Find Your Rep)
  2. Then, under "Find a Title," search by title, author, or subject
  3. Select your desired title, and create a course. (You do not have to create assignments, just a course instance)
  4. Go to your Connect course homepage
  5. In the top navigation, select library to access the title's instructor resources

About the Author

Averill Law

Averill M. Law is President of Averill M. Law & Associates, Inc. (Tucson, AZ), a company specializing in simulation training, consulting, and software. He was previously Professor of Decision Sciences at the University of Arizona and Associate Professor of Industrial Engineering at the University of Wisconsin-Madison. He has a Ph.D. and an M.S. in industrial engineering and operations research from the University of California at Berkeley, an M.A. in mathematics from California State University-Long Beach, and a B.S. in mathematics from Pennsylvania State University. Dr. Law has been a simulation consultant to organizations such as Accenture, Boeing, Booz Allen & Hamilton, ConocoPhillips, Defense Modeling and Simulation Office, Federal Express, Ford, Hewlett-Packard, Kimberly-Clark, M&M/Mars, Monsanto, Sandia National Labs, Swedish Defense Material Administration, U.S. Marine Corps, and Xerox. He has presented more than 550 simulation and statistics short courses in 20 countries, including onsite seminars for ALCOA, AT&T, Boeing, Caterpillar, Coca-Cola, CSX, GE, GM, IBM, Intel, Lockheed Martin, Los Alamos National Lab, Missile Defense Agency, Motorola, NASA, National Security Agency, Northrop Grumman, 3M, Time Warner, UPS, U.S. Air Force, U.S. Army, U.S. Navy, and Whirlpool. He is the developer of the ExpertFit distribution-fitting software, which automates the selection of simulation input probability distributions. ExpertFit is used by more than 3000 organizations worldwide. He also developed the videotapes “Simulation of Manufacturing Systems” and “How to Conduct a Successful Simulation Study.” Dr. Law is the author (or coauthor) of three books and numerous papers on simulation, operations research, statistics, manufacturing, and communications networks. His article "Statistical Analysis of Simulation Output Data" was the first invited feature paper on simulation to appear in a major research journal. His series of papers on the simulation of manufacturing systems won the 1988 Institute of Industrial Engineers' best publication award. He was awarded the 2009 INFORMS Simulation Society’s Lifetime Professional Achievement Award for his simulation seminars and book. During his academic career, the Office of Naval Research supported his simulation research for 8 consecutive years. He wrote a regular column on simulation for “Industrial Engineering” during 1990 and 1991.

Need support?   We're here to help - Get real-world support and resources every step of the way.