Beyond Lean: Simulation in Practice, Second Edition

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Charles Standridge, Grand Valley State University

Pub Date: 2013

ISBN 13:

Publisher: Grand Valley State University

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Reviewed by Jason Weaver, Assistant Professor, Brigham Young University, on 12/6/2016.

This book covers a wide variety of scenarios that may be simulated in a Lean manufacturing operation. It appears to assume a fairly good … read more

 

Table of Contents

  • Preface 
  • Introduction 
  • Basic Organizations for Systems
  • Lean and Beyond Manufacturing
  • Supply Chain Logistics
  • Material Handling
  • Appendix
  • Introduction Automod Models
  • Basic Organizations for Systems Automod Models 
  • Lean and Beyond Manufacturing Automod Models 
  • Supply Chain Logistics Automod Models 
  • Appendix Data Sets

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

Author(s)

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.