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    Read more about Beyond Lean: Simulation in Practice - Second Edition

    Beyond Lean: Simulation in Practice - Second Edition

    (2 reviews)

    Charles R. Standridge, Grand Valley State University

    Copyright Year:

    Publisher: Grand Valley State University

    Language: English

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    Reviewed by Omar Ashour, Assistant Professor, Penn State Behrend on 2/1/18

    The book covers a wide spectrum of topics related to simulation for lean purposes. The book assumes a pre-knowledge in lean principles and manufacturing systems design and analysis. The book provides pseudo-codes for different simulation... read more

    Reviewed by Jason Weaver, Assistant Professor, Brigham Young University on 12/5/16

    This book covers a wide variety of scenarios that may be simulated in a Lean manufacturing operation. It appears to assume a fairly good understanding of Lean principles, manufacturing system design, and programming skills. Example simulation set... read more

    Table of Contents

    1. Beyond Lean: Process and Principles
    2. Simulation Modeling
    3. Modeling Random Quantities
    4. Conducting Simulation Experiments
    5. The Simulation Engine
    6. A Single Workstation
    7. Serial Systems
    8. Job Shops
    9. Inventory Organization and Control
    10. Inventory Control Using Kanbans
    11. Cellular Manufacturing Operations
    12. Flexible Manufacturing Systems
    13. Automated Inventory Management
    14. Transportation and Delivery
    15. Integrated Supply Chains
    16. Distribution Centers and Conveyors
    17. Automated Guided Vehicle Systems
    18. Automated Storage and Retrieval

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    About the Book

    Lean thinking, as well as associated processes and tools, have involved into a ubiquitous perspective for improving systems particularly in the manufacturing arena. With application experience has come an understanding of the boundaries of lean capabilities and the benefits of getting beyond these boundaries to further improve performance. Discrete event simulation is recognized as one beyond-the-boundaries of lean technique. Thus, the fundamental goal of this text is to show how discrete event simulation can be used in addition to lean thinking to achieve greater benefits in system improvement than with lean alone. Realizing this goal requires learning the problems that simulation solves as well as the methods required to solve them. The problems that simulation solves are captured in a collection of case studies. These studies serve as metaphors for industrial problems that are commonly addressed using lean and simulation.

    About the Contributors


    Charles R. Standridge, Ph.D.

    Associate Dean, Padnos College of Engineering and Computing

    Interim Director, Occupational Safety & Health

    Professor, Manufacturing Engineering

    Dr. Charles Standridge joined the faculty in January 1999. His primary interests are in energy systems design as well as production operations and supply chain logistics with the application discrete event simulation methods. He teaches courses in energy systems, production operations and material handling, as well as engineering data analysis and computer programming. He has grants having to do with the gathering and modeling of wind resource data in Lake Michigan; the remanufacturing, repurposing and recycling of lithium-ion batteries used to power vehicles, and energy system curriculum development.

    Bachelor of Science in Applied Mathematics and Computer Science from Washington University in St. Louis, 1974.

    Master of Science and Ph.D. in Industrial Engineering / Operations Research from Purdue University, 1977 and 1978.

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