Simulation Modeling Handbook: A Practical Approach

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9780878498222: Simulation Modeling Handbook: A Practical Approach

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
  • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Contenuti:

    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

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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    James F. Shackelford
    ISBN 10: 0878498222 ISBN 13: 9780878498222
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    Descrizione libro 1999. Paperback. Condizione libro: Fair. 1999 paperback edition. Ex library copy with stamps and labels to spine and endpapers but the text is clean and the binding is tight. Posted promptly by UK seller. Codice libro della libreria QL-HY6A-JZ0Q

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    Christopher A. Chung
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    Descrizione libro CRC Press, 2000. Hardcover. Condizione libro: Good. Good condition, some are ex-library and can have markings. Codice libro della libreria GD-070-22-0436800

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    Christopher A. Chung
    Editore: CRC Press (2000)
    ISBN 10: 0878498222 ISBN 13: 9780878498222
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    Descrizione libro CRC Press, 2000. Hardcover. Condizione libro: As New. Like new condition. Codice libro della libreria XX-070-22-0436800

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    Shackelford, Ja
    Editore: CRC (2000)
    ISBN 10: 0878498222 ISBN 13: 9780878498222
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