Average customer rating:
- Worth the buy!
- A book serves all your needs
- Full of information and errors
- A matchless guide
- Application Oriented
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Design for Six Sigma : A Roadmap for Product Development
Kai Yang , and
Basem S. EI-Haik
Manufacturer: McGraw-Hill Professional
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Similar Items:
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Design for Six Sigma in Technology and Product Development
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The Design for Six Sigma Memory Jogger: Tools and Methods for Robust Processes and Products
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Design for Six Sigma for Service (Six SIGMA Operational Methods)
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Design for Six Sigma (Briefcase Books Series)
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Design for Six Sigma Statistics
ASIN: 0071412085 |
Book Description
Here's the book that clearly and logically answers the complex question quality managers and product developers face almost every day: WHICH PRODUCT DEVELOPMENT TOOLS SHOULD I USE AND WHEN?
This much-needed, well-written roadmap for robust, efficient product development features:
* All the coverage needed to implement six sigma in any manufacturing concern
* A complete review of both traditional and contemporary design methods
* Systems discussed include: DOE (Design Of Experiment), Taguchi Method, QFD (Quality Function Deployment), Axiomatic Design, and TRIZ (Theory for Inventive Problem-Solving)
* Practical examples to highlight important elements of each system
* A unique multi-systems approach to designing products, incorporating the traditional and contemporary methods discussed, detailing how and when to use them
* Valuable assistance when preparing for certification exams
Customer Reviews:
Worth the buy!.......2004-04-02
I have not found such a comprehensive book for design of six sigma. I started using this book for advanced experimental design and taguchi methods, but ended understanding the complete roadmap for design of six sigma. The systems approach allows an enthusiast reader to start anywhere, without having to spend time refering back to earlier chapters. The relatively newer trends as TRIZ and axiomatic design have also been nicely dealt with.
Overall, this is a very nice and easy read book, with excellent and well defined examples. A must for everyone who wants a quick refresher on the design principles of six sigma.
A book serves all your needs.......2004-04-02
This is an outstanding DFSS book for production development. It contains integrated information and some of which you could hardly find anywhere else, thus with one book in hand, you have all the tools to get to your destination. This is also a easy to read book providing the reader with a solid understanding- Concepts are clearly defined, real world examples/ case studies are fully described and the chapters are well organized. It can serve as a textbook for students/beginners and also can serve as a handbook for experienced engineers.
The title says it all- this is a roadmap for you to find the way correctly and easily. I am reading the book right now, and the book is really beneficial to me.
Full of information and errors.......2004-03-30
This is a book with a lot of information. Each chapter can be used as a starting point for a specific six sigma technique. However, this is the worst edited book I have ever read. You can hardly find one page without errors/typos.
A matchless guide.......2003-08-03
While the concept of six-sigma is a very popular one, it is not often that one can find such a comprehensive yet clearly-written volume devoted to the most important topics of six-sigma. A book that contains so much information and not just hot air is especially hard to find. Yang and El-Haik have successfully written one of the most impressive and useful reads I have ever encountered within this field. Especially intriguing and novel concept of TRIZ. A very worthwhile book, in any case.
Application Oriented.......2003-07-01
In recent times, there has been a lot of talk and hype about DFSS with very little substance thus far--until this one! I found the book an easy read, application oriented and a relatively prescritive approach to apply DFSS for products, processes and/or services. The sections on TRIZ and Axiomatic Design expose the opportunities largely untapped in the design world today. A must read book for organizations serious about Six Sigma--whether they are focused on delivering worldclass products and services to their customers or designing processes to run world class business operations--a thumbs up all the way!!
Book Description
An Observational study is an empiric investigation of the effects caused by a treatment, policy , or intervention in which it is not possible to assign subjects at random to treatment or control, as would be done in a controlled experiment. Observational studies are common in most fields that study the effects of treatments on people. The second edition of ¿Observational Studies¿ is about 50 percent longer than the first edition, with many new examples and methods. There are new chapters on nonadditive models for treatment effects (Chapter 5) and planning observational studies (Chapter 11) and Chapter 9, on coherence, has been extensively rewritten. Paul R. Rosenbaum is Robert G. Putzel Professor, Department of Statistics, The Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association.
Customer Reviews:
great overview of the topic.......2006-03-18
The book is very well written. It gives a great overview of the fundamental problems of causal inference in observastional studies. It has a lot of examples, homeworks and extensive references in every chapter.
up-to-date account of methods for observational studies.......2002-02-20
Many years ago the famous statistician Ronald Aylmer Fisher criticized analyses that linked lung cancer to smoking. He argued that these studies had hidden biases because they were not controlled experiments. He proposed that smokers could be different from non-smokers because of a genetic propensity to desire cigarettes and that this genetic trait could be correlated with a higher incidence of lung cancer. Thus it would be possible to see a higher frequency of lung cancer among smokers because of this genetic trait rather than because the smoking itself causes the cancer. As far-fetched as this argument may seem to us today, it is based on sound statistical principles and points out some of the potential problems that occur with observational studies.
Although randomized control trials are the best way to determine differences in treatment effects, they are not always practical or ethical. It would be wrong to randomly choose subjects and force some of them to smoke.
Getting around issues of bias in observational studies was first addressed by Cochran who published a book on the subject in 1983. Rosenbaum came out with his own book in 1995 and this second edition expands and updates that popular text.
In Chapter 1 he present examples of observational studies and raises many important issues. Chapter 2 explains the principles of randomized controlled experiments. In Chapter 3 he covers overt bias and some of the basic methods to adjust for it. The sensitivity of observational studies to hidden biases is covered in Chapter 4.
This book is well written, authoritative and contains numerous references and examples. It also includes a chapter on how to plan an observational study.
Such studies are very important to epidemiologists who want to discover the cause of an epidemic or a disease. With large data base it is possible to remove or adjust biases by matching subjects using propensity scores. Rosenbaum effectively describes how propensity scorng and stratification can be used to make observational studies behave more like randomized control trials.
Average customer rating:
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Reliability Improvement with Design of Experiment, Second Edition, (Qrl Quality and Reliability)
Lloyd Condra
Manufacturer: CRC
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Improving Product Reliability: Strategies and Implementation (Quality and Reliability Engineering Series)
ASIN: 0824705270 |
Book Description
The second edition of a bestseller, this book demonstrates how to implement and operate a practical reliability program using carefully designed experiments to provide information quickly, efficiently, and cost effectively, emphasizing real solutions to daily problems. A special expanded section explains how to combine accelerated testing with design of experiments for immediate improvement. Tracing the transition from reliability assurance by compliance with standards to good design and manufacturing practices, the book covers concurrent product design, process development, deterministic methods, reliability data bases, constant and variable failure rates, Taguchi methods, and more.
Book Description
In DOE Simplified - a comprehensive new introductory text geared towards readers with minimal statistical background - the authors take a fresh and lively approach to learning the fundamentals.
The book coverage includes:
- basic statistics for DOE
- methods for collecting and displaying data
- how to draw inferences from data
- the purpose of confidence intervals
- comparative experiments for testing a hypothesis
- blocking sources of variation from analysis
- two-level factorial designs
- analysis of variance (ANOVA)
Also included with the book is a free 180-day time limited, but fully functional, version of DOE statistical software. *
* A patch is required to run the Design-EaseR 6 software CD-ROM that is distributed with the book. Please visit this web site: http://www.statease.com/simplified.html, download the 6.0.11 to 6.0.11b patch, and run it. If you have any difficulties, please e-mail support@statease.com or call 612.378.9449 and ask for software support.
Customer Reviews:
A Truly Brief Introduction to DOE.......2006-11-10
The book is a very brief introduction to DOE. I had read other reviews that stated that it was only a very brief intro to DOE. My thoughts when purchasing the book was that would be what I needed since I had not previously worked with statistical experimental design. Having now gone more than half way through the book, I found that I could not follow the solutions without the aid of other more detailed statistical design of experiments texts. If you are truly a beginner, I suggest using this book while referring to Design & Analysis of Experiments by Douglas Montgomery. In this manner while using a book similar to Montgoemery's 5th or later edition as a reference, the "DOE Simplified" text serves as a pacer book to hurry you through an intro to DOE. It certainly helped me become much more interested in pursuing DOE and thus order a number of additional books of which Montgomery's was one of seven that I have recently purchased from Amazon. Although I am digressing, my rating of Montgoemry's 5th Edition is FANTASTIC!!!!! DOE Simplified.... good summary as long as you have reference material.
Basic book on DOE-lack theory.......2006-03-13
Simplified is the key. This book offers a very basic approach to DOE. It's good for someone who wants a quick start in DOE.
Very straightforward.......2005-11-20
Great book. Steps through basic stats in anticipation of use for DOEs. Good examples and well-written. Easy to recommend.
Using of DOE.......2005-08-16
Using of DOE is useful for metallurgical engineering.I use doe for design of alloys (based on requirments and metallurgical parameters)and control of metallurgical parameters for improvment of mechanical properties.I suggest this book for all engineers especially for metallurgical engineers (for control and improvment of heat tratment, casting, electropalting,and other process).
I use DOE in my PHD project for design of a new steel alloy.
DOE Simplified.......2004-02-14
As a mechanical engineer (just beginning self study on the topic of DOE) I found this book very useful. The author provides practical insight that I was unable to find in other DOE or statistics books. This is not a book for advanced statisticians, however, it is a great book for someone trying to understand and apply the principles of DOE.
Average customer rating:
- Experimental Design with Applications in Management, etc.
|
Experimental Design with Applications in Management, Engineering and the Sciences
Paul D Berger , and
Robert E. Maurer
Manufacturer: Duxbury Press
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ASIN: 0534358225 |
Book Description
Based on decades of teaching, consulting, and industrial experience in the field of design and analysis of experiments, the authors provide an intuitive understanding of the principles of experimental design and analysis. The emphasis is on the application of experimental design concepts in such traditional management and industrial engineering areas such as marketing, operations, management information systems, organizational behavior, and others. The authors also apply this material to such non-profit areas as education, health care, and government. Using popular analytical tools such as SPSS, JMP, and Microsoft Excel, Berger and Maurer emphasize the modern application of experimental design to real problems.
Customer Reviews:
Experimental Design with Applications in Management, etc........2003-03-03
I have found this book for all that I have read (about half of it) extremely useful for my PhD research work. The lessons are lucid. The exercises first ground your basics firmly then challenge your understanding of the fundamental concepts. Many of the questions are designed keeping in mind so many confounding little situations that we face often in the real world of experimenting. The text and questions, in short, prepare you for the 'real world' of experimenting.
A must have in every student/user of Experimental Designs
Book Description
The Art and Craft of Case Writing is a practical, comprehensive, multidisciplinary guide. The authors take readers through the entire case-writing process, including the development of objectives, data collection, drafting the case, testing and revising, and the development of polished teaching notes. Skills for writing both teaching cases and research cases are included. Authors William and Margaret J. Naumes are veteran case writers and have conducted many case-writing workshops with such leading organizations as the Academy of Management and the Decision Science Institute. This book is filled with examples and anecdotes from their experiences. The Art and Craft of Case Writing is an essential primer for novices, yet contains plenty of valuable suggestions for experienced case writers. It will appeal to everyone who is doing, or considering doing, case research in business and the social sciences.
Customer Reviews:
The art and craft for case writing.......2007-10-02
This is an excellent book for case writing. I really like the examples found at the end of the book regarding a real case situation and the decision made at the end of the company. I also like the ways we can compare and contrast the format of a case study and the actual case I am writing about.
The author has authority about this subject matter by the credentials mentioned in the book. Moreover, the division about the student learning case and the professor's instruction manual is confusing. It seems that the student's case needs improvement and the instructor's manual is the finished product. I find the instructor's manual very captivating in terms of the comprehensiveness of the case analysis. That is why I like this book because I patterned my own case writing and analysis from the student case towards the instructor's manual, although I have no intentions of teaching how to write case studies in the university.
A must for beginners.......2007-01-09
As a beginner in case writing I have found this book really helpful in grasping what is really essential. At the same time I believe I'll go back when refining my cases.
Customer Reviews:
DOE step by step with examples.......2006-10-28
DOE is the set of process improvement tools for studying more than one factor in a single experiment. The 92 page book is straight forward with many examples to show the methodology for setting up 2, 3 and up to 31 factor experiments which according to the author will cover >90% of the DOE requirements.
The workbook is filled with case studies and examples from manufacturing problems which guide you through the process and help evaluate your understanding before moving to the next section. The mathematical/statistical equations are a bit intimidating but these can be set-up in a spreadsheet. The author says that these DOE tools can be used on office or sales processes but never gives an example of one.
The value in this book is if you are doing a quality or six sigma project. Also, it will be of value if you are working in industries like chemical or mining, where yields are the key to success. The book shows the equations to use, the eight steps for analysis and the logical steps to creating an experiment. Additionally, it includes an appendix with T (95% confidence level) and F (degree of freedom) values which are necessary references if you attempt to do this without a statistical software package.
This book is headed in the right direction..........1999-09-09
This is the second least complicated book I have ever read on DOE. Thanks Larry for writing the book! I wish that it had MANY more examples showing each DOE type he covers...Also, there is a need to FURTHER elaborate in simpler terms all of the concepts. I am still not understanding why a DOE book can't come out that isn't easy to read!
Book Description
Whether in the laboratory or while doing fieldwork, all researchers face an important challenge - designing research that will have sufficient sensitivity to detect those effects it purports to investigate. Sample size, validity, and sensitivity, experimental error, subject variability and the type of statistical analysis all influence the sensitivity of a research design.
In this volume Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it. Through careful explanations and selection of examples he explores a variety of topics: factors that degrade design sensitivity, effect size parameters and approaches to assessing it, how to estimate statistical power for various statistical tests, and the special problems statistical power poses for treatment effectiveness research. This book is a vital resource for evaluators, methodologists, statisticians, psychologists, public health professionals and educators.
Customer Reviews:
Great book for those that can understand the material.......2007-03-14
I thought this was a great book. The information presented in the book should form the foundational knowledge of a researcher or evaluator. However, the book does require a certain level of sophistication on the part of the reader. While the prose are clear and concise, readers who do not possess a modest amount of statistical knowledge may get lost.
Horrible, a waste of money.......2007-01-03
I had to buy this book since it was mandated by the instructor to do so. It was so bad on so many levels. Maybe it was beyond my understanding, but it left me with no useful information. If you can avoid buying this book, I would do so. If you must buy it for a course, good luck!
Average customer rating:
|
Practical Experiment Designs : for Engineers and Scientists, 3rd Edition
William J. Diamond
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback
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Similar Items:
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Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building
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Design of Experiments for Engineers and Scientists
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Applied reliability
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Total Quality Management (3rd Edition)
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Principles of Quality Costs: Principles, Implementation, and Use
ASIN: 0471390542 |
Book Description
Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form.
* Features new and updated material, including cases and a larger focus on multivariate analysis.
* Uses simple analysis tools for practical implementation on the job.
* Targets experiment planning as the groundwork for quality experiments.
Customer Reviews:
Title says it all.......2001-08-03
This book is a great introduction to ballanced orthogonal experimental designs. The so-called Scientific Method (tweak one parameter while holding the other variables fixed) is not used that much where there are complicated interactions between variables. This Designed Experimental (DOX) approach is used more frequently in the Semiconductor industry. This approach envolves a series of experiments where all the variables are potentially changed form one trial to another, but in such a way that one can resolved the effects of one variable from another AND understand interactions and non-linear effects. It is simply the best way to optimize a complicated system.
OK, if you have SAS or RS/1 or ...packages you may ask yourself "why bother learning the theory." I would say for 2 reasons - if you need to manually intervene or supplement an existing experiment AND seeing some more designs that are very effecient (John's 3/4 designs and Plackett-Burman designs) for initial screening that is not ususally part of the packages.
Compared to Box, Box, Hunter this book is easier to read, has a huge summary fold out sheet and is geared to a practicing engineer or scientist not a professional mathematician. Best introduction and most likely the only book you will ever need on the subject.
Book Description
Laboratory experiments with human subjects provide crucial data in most fields of economics. There has been a tremendous upsurge in interest in this relatively new field of economics.
This textbook is an introduction to the world of experimental economics. Contributors such as Reinhard Selten and Axel Leijonhufvud add to a book that begins with an exploration of the history of experimental economics before moving on to describing how to set up an economics experiment and surveying selected applications and the latest methods. This user-friendly book demonstrates how students can use the lessons learned within it to conduct original research.
With their free-flowing, discursive yet precise style, Friedman and Cassar have created a book that will be simply essential to students of experimental economics across the world. Thanks to its authoritative content, the book will also find its way onto every respectable economists bookshelf.
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