Published July 15th 2003 by CRC Press – 608 pages
The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support material, including checklists, data-collection forms, and sample simulation project reports and publications to facilitate practitioners' efforts in conducting simulation modeling and analysis projects.
Simulation Modeling Handbook: A Practical Approach has two major advantages over other treatments. First, it is independent of any particular simulation software, allowing readers to use any commercial package or programming language. Second, it was written to insulate practitioners from unnecessary simulation theory that does not focus on their average, practical needs.
As the popularity of simulation studies continues to grow, the planning and execution of these projects, more and more engineering and management professionals will be called upon to perform these tasks. With its simple, no-nonsense approach and focus on application rather than theory, this comprehensive and easy-to-understand guide is the ideal vehicle for acquiring the background and skills needed to undertake effective simulation projects.
Features
"Chung provides clear explanations with very little math … . The screen shots are clear and easy to read, as is the text. … [This book] is a practical text for professionals involved in, and students of, simulation modeling. Due to its detail and coverage, it would be an excellent book for those starting in simulation modeling, and would be a good reference for those with experience in the field. It is recommended for collections that cater to manufacturing and mechanical engineering students and professionals, as well as others who focus on simulation modeling. "
- E-Streams, Vol. 7, No. 10, Oct. 2004
INTRODUCTION
Simulation Modeling and Analysis
Other Types of Simulation Models
Purposes of Simulation
Advantages to Simulation
Disadvantages to Simulation
Other Considerations
Famous Simulation Quotes
Basic Simulation Concepts
Additional Basic Simulation Issues
Summary
PROBLEM FORMULATION
Formal Problem Statement
Orientation
Project Objectives
Summary
PROJECT PLANNING
Project Management Concepts
Simulation Project Manager Functions
Developing the Simulation Project Plan
Compressing Projects
Example Gantt Chart
Advanced Project Management Concepts
Project Management Software Packages
Summary
SYSTEM DEFINITION
System Classifications
High-Level Flow Chart Basics
Components and Events to Model
Data to Be Included in the Model
Output Data
Summary
INPUT DATA COLLECTION AND ANALYSIS
Sources for Input Data
Collecting Input Data
Deterministic versus Probabilistic Data
Discrete versus Continuous Data
Common Input Data Distributions
Less Common Distributions
Offset Combination Distributions
Analyzing Input Data
How Much Data Needs to Be Collected
What Happens if I Cannot Fit the Input Data?
Software Implementations for Data Fitting
Summary
MODEL TRANSLATION
Simulation Program Selection
Model Translation Section Content
Program Organization
Summary
VERIFICATION
Divide-and-Conquer Approach
Animation
Advancing the Simulation Clock by Event by Event
Writing to an Output File
Summary
VALIDATION
Assumptions
Simplifications
Oversights
Limitations
Need for Validation
Two Types of Validation
Face Validity
Statistical Validity
Validation Data Analysis Process
When a Model Cannot Be Statistically Validated and What to Do About It
Summary
EXPERIMENTAL DESIGN
Factors and Levels
Two Alternative Experimental Designs
One-Factor Experimental Designs
Two-Factor Experimental Designs
Multifactor Experimental Designs
2^k Experimental Designs
Experimental Alternative Factor Interactions
Refining the Experimental Alternatives
Summary
ANALYSIS
Terminating System Analysis
Non-Terminating System Analysis
Summary
PROJECT REPORTS AND PRESENTATIONS
Written Report Guidelines
Executive Summary
Equations
Importing Screen Captures
Presentation Guidelines
Presentation Media
Electronic Presentation Software Issues
Actual Presentation
Summary
TRAINING SIMULATORS
Problem Formulation
Project Planning
System Definition
Input Data Collection
Model Translation
Verification
Validation
Implementation
Summary
EXAMPLES
ARENA USER'S MINIMANUAL
SIMULATION USING AUTOMOD AND AUTOSTAT
SIMPAK USER'S MINIMANUAL
APPENDIXES
Name: Simulation Modeling Handbook: A Practical Approach (Hardback) – CRC Press
Description: Edited by Christopher A. ChungSeries Editor: Hamid R. ParsaeiContributors: Charles E. Donaghey, Randal Sitton, Abu Huda, Somasundaram Gopalakrishnan, Matt Rohrer, Erick Jones. The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step...
Categories: Engineering Management, Operations Research, Computer Engineering
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