Beyond Lean: Simulation in Practice, Second Edition
Charles R. Standridge, Grand Valley State University
Pub Date: 2013
Publisher: Grand Valley State University
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Conditions of Use
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
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
- Beyond Lean: Process and Principles
- Simulation Modeling
- Modeling Random Quantities
- Conducting Simulation Experiments
- The Simulation Engine
- A Single Workstation
- Serial Systems
- Job Shops
- Inventory Organization and Control
- Inventory Control Using Kanbans
- Cellular Manufacturing Operations
- Flexible Manufacturing Systems
- Automated Inventory Management
- Transportation and Delivery
- Integrated Supply Chains
- Distribution Centers and Conveyors
- Automated Guided Vehicle Systems
- Automated Storage and Retrieval
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.