Simulation Modeling Handbook: A Practical Approach, 1st Edition (Hardback) book cover

Simulation Modeling Handbook

A Practical Approach, 1st Edition

Edited by Christopher A. Chung

CRC Press

608 pages | 310 B/W Illus.

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pub: 2003-07-15
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Description

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

  • Presents step-by-step procedures for conducting successful simulation modeling and analysis

  • Addresses every phase of performing simulations, from formulating the problem to presenting study results and recommendations

  • Uses approaches applicable regardless of the specific simulation or software used

  • Includes a summary of the major simulation software packages and discusses the pros and cons of using general purpose programming languages
  • Reviews

    "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

    Table of Contents

    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

    About the Series

    INDUSTRIAL AND MANUFACTURING ENGINEERING SERIES

    Learn more…

    Subject Categories

    BISAC Subject Codes/Headings:
    COM059000
    COMPUTERS / Computer Engineering
    TEC009000
    TECHNOLOGY & ENGINEERING / Engineering (General)
    TEC029000
    TECHNOLOGY & ENGINEERING / Operations Research