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
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 situations. The book is nicely organized. The first part provides background on simulation and then moves to explain simulation in different applications.
I have not gone through the whole book at the time of the review. The content seems to be accurate and free from errors.
Content is up-to-date. The applications and case studies are general and expected to stay useful for long time. The use of Automod might dictate necessary updates. The author should look for including other software packages that are up-to-date and provide more capabilities.
The book is clear to read for someone with some background in lean and simulation.
The book is consistent.
The text is divisible especially after part I. Most of the sections need the pre-knowledge from previous sections.
The book is well organized and presented in a logical and clear fashion.
The text is free of significant interface issues, including navigation problems, distortion of images/charts, and any other display features that may distract or confuse the reader. The book can benefit from improving some of the figures.
No grammar issues.
The text is not culturally insensitive or offensive in any way.
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
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 ups are described in a generalized pseudocode, and are meant to be compatible with the AutoMod simulation software, which has a free student version.
I have not looked through the code and equations for accuracy. In the text, it appears to be accurate in general, but there are several instances where it is either unclear or misleading. For example, it will occasionally seem to shift its voice from a textbook to text perhaps copied directly from previous versions or lecture notes. On page 6-18, for example, it says "How to do this case study will be described in tutorial style for the simulation environment that you are using in a separate document." I eventually found that this document is actually in the Appendix of the book, but that was not clear from this statement.
The case studies are generic enough to be useful for quite a while. If the AutoMod software becomes obsolete, a future edition may need to reference a different software package, but the actual instructions are software agnostic in general pseudocode.
It can be difficult to understand the book on a first reading. In many places, it can seem more like an academic paper meant for people already familiar with the basics than a textbook for undergraduate students with little experience in programming.
It appears to be fairly consistent
The individual sections seem fairly modular once the basics of the topic are understood. However, individual sections are not as helpful as an outside reference unless the reader has covered the previous sections, especially the introduction.
The topics are in a good order - basics of simulation are discussed first, followed by how to set up a simulation, followed by simple scenarios and increasingly complex ones.
The book is available as a PDF. As such, it appears to be free from any major issues. It would be convenient to have it available in other formats as well, such as an interactive webpage, kindle or epub book, etc. In PDF, it would be helpful to at least make the table of contents hyperlinks to the different chapters.
No instances appear to be inappropriate.
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.