Book Description
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.
Customer Reviews:
Do not buy this CRAM book........2007-01-22
If you want to understand and pass a subject, you have to read the original book (here Introduction to Statistical Quality Control by Montgomery) and try to understand the examples and the concepts in the book. In addition you have to do several exercies in this book to reinforce this understanding. Studying some outlines, highlights and notes prepared by other people won't help you much.
Sacred Book on SQC.......2007-01-12
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.
Great SPC book.......2004-08-14
Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.
good book worst service.......2004-06-30
the book is very good ..no doubt but the service is aweful.
1. on the website they show it is a hardcover book and so i ordered for it but got a soft cover book ...now i have to worry about return or refunds etc...
2. had to wait for 3 weeks to get the book.
3. print quality aweful ...the original book has good color print...the one i received for the same price has a black and white print with very thin see-through pages...
my advice would be to avoid abebooks.com through amazon if possible because the same book is listed for $ 33 on their own website and here they sell it for $ 41 ...so waste ur money if u want.
Everything You Ever Wanted to Know about SPC.......2003-09-12
As the developer of the QI Macros SPC Software for Excel, customers often call with exotic questions about statistical methods for quality control.
Montgomery's book, more often than not, is the one I turn to for answers that I can't seem to find anywhere else. Even if I do find the answer in another book, it's always easier to understand in Montgomery's. The book is written in a way that makes seemingly incomprehensible statistics understandable. And there are plenty of examples.
If you're looking for a book to help you implement quality control in a small business, Montgomery's book is a bit too much, so you might consider my book on the Small Business Guerrilla Guide to Six Sigma or Six Sigma Simplified.
Book Description
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.
Customer Reviews:
Great learning source.......2006-07-30
I found this book to be a good source for review on how the author came up with the formulas and MINI-TAB references were good. I would have rated it 5 stars but there were settings in the MINI-TAB software that needed to be turned on and for a beginning student I found it a little difficult to come up with the same answers without knowing why the author used the non-default mini-tab settings.
Book Description
Many have heard that six sigma methods are necessary to survive, let alone thrive, in today’s competitive markets, but are not really sure what the methods are or how or when to use them.
Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details case studies showing how they have been applied in engineering and business to achieve millions of dollars of savings. Specifically, the methods introduced include many kinds of design of experiments (DOE) and statistical process control (SPC) charting approaches, failure mode and effects analysis (FMEA), formal optimization, genetic algorithms, gauge reproducibility and repeatability (R&R), linear regression, neural nets, simulation, quality function deployment (QFD) and Taguchi methods. A major goal of the book is to help the reader to determine exactly which methods to apply in which situation and to predict how and when the methods might not be effective.
Illustrative examples are provided for all the methods presented and exercises based on case studies help the reader build associations between techniques and industrial problems. A glossary of acronyms provides familiarity with six sigma terminology and solutions to homework and practice exams are included.
Book Description
Designing for Quality explores a vital design technique called design of experiments (DOE). It integrates both the engineering and statistical aspects of designed experiments combining the best of Dr. Genichi Taguchi's approach with the best techniques from western design. With these designs you can: improve product performance; make product and process characteristics less sensitive to factors that cannot be controlled; reduce development, manufacturing, and use costs.
Topics covered include:
Full factorial and fractional factorial designs for two-level experiments.
Experimental designs for factors at three and four levels.
Analysis of variance in engineering design.
Using experiments to improve processes.
Types of computer software for experimental design.
Customer Reviews:
Analyzing Manufacturing Processes "101".......2002-03-26
As a quality assurance manager whose educational background is in management rather than engineering, I had the privilege of using this book as a college text.
I cannot say how well I would have fared by using this book as a stand-alone tool, but it was a valuable tool in my college Design of Experiments course.
We use DOE to a point in my company, a plastics molder. In our business, however, many quality inspections are of the attribute properties, such as appearance, rather than actual, measurable variables. That is no fault of this book; however, it is frustrating that I am not able to utilize DOE more.
The book delivers its message fairly clearly, keeping in mind that I went through it page by page with an experienced instructor. It is not necessary to be a mathematical wizard to use this book, although an understanding of basic statistics would be helpful.
Anyone involved in a manufacturing operation with mutliple variables in the process would be advised to learn more about DOE, and this book would be a valuable resource, particularly for those with an engineering background.
A Very Practical Introduction to Design of Experiments(DOE).......1999-02-05
This book was recommended to me by a quality manager of long experience and it was a very good recommendation. Having aquired an engineering degree before DOE became very widespread, I have largely had to educate myself in DOE methodology. "Designing for Quality" is written in plain language and has easy to understand directions and tables to use both in designing your experiments and analysing the resulting data. With this book, I planned, conducted and analysed data from several experiments before I ever had the assistance of a knowlegable practitioner of DOE. When I gained such assistance, I had my results and conclusions from these experiments confirmed. I am now Quality Manager for a plant of 650 employees and when I need to teach DOE, whether to an experienced engineer or a novice technician, "Designing for Quality" is the text I always use.
Average customer rating:
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Control estadistico de la calidad / Introduction to Statistical Quality
Douglas Montgomery
Manufacturer: Editorial Limusa S.A. De C.V.
ProductGroup: Book
Binding: Paperback
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ASIN: 9681862341 |
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Introduction to Modern Statistical Quality Control and Management
J. A. Swift
Manufacturer: St. Lucie Press
ProductGroup: Book
Binding: Hardcover
General
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Management
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ASIN: 1884015506 |
Book Description
PART I: QUALITY MANAGEMENTTotal Quality Management: Concepts and PrinciplesTools and TechniquesImplementationQuality InnovatorsWalter A. ShewhartW. Edwards DemingKaoru IshikawaJoseph M. JuranPART II: QUALITY AWARDSMalcolm Baldrige National Quality AwardGeorge M. Low Award (NASA Excellence Award)The Deming PrizePART III: QUALITY TOOLS AND METHODSData and SamplingProblem Identification ToolsBrainstormingNominal Group TechniqueMultivotingThe Seven Basic Quality Control ToolsCheck SheetsFlowchartsGraphsHistogramsPareto ChartsCause-and-Effect DiagramsScatter DiagramsControl ChartsControl Charts for VariablesUses of Control ChartsVariables Control ChartsApplication of Variables Control ChartsInterpreting the ChartsControl Charts for AttributesFraction Non-Conforming (p Chart)Number Non-Conforming (np Chart)Non-ConformitiesWhen to Use the Different Control ChartsQuality Improvement StoriesWhat is a Quality Improvement StoryStep 1: Identify the Problem AreaStep 2: Observe and Identify Causes of the ProblemStep 3: Analyze, Identify, and Verify Root Cause(s) of the ProblemStep 4: Plan and Implement Preventive ActionStep 5: Check Effectiveness of Action TakenStep 6: Standardize Process ImprovementStep 7: Determine Future ActionOther ConsiderationsThe Seven Quality Management ToolsAffinity Diagram (KJ Method ®)Relations Diagram (Interrelationship Digraph)Systematic Diagram (Tree Diagram)Matrix Diagram Matrix Data-Analysis (Prioritization Matrices)Process Decision Program ChartArrow Diagrams (Activity Network Diagram)PART IV: OTHER QUALITY ISSUESQuality Function DeploymentWhat Is Quality Function DeploymentMethodologyRelationship Matrix ConstructionResultsBenefitsBenchmarkingThe Benchmarking ProcessSpecial ConsiderationsQuality TeamsWhat Are Quality Teams?Types of teamsCore Team ParticipantsSelection of Problem or Improvement GuidelinesTeam Meeting GuidelinesISO 9000International Organization for StandardizationISO 9000Final CommentsPART V: APPENDICESThe European Community: Emergence and Governing InstitutionsThe European CommunityInstitutions of the European CommunityBibliographyNormal Distribution TableFactors Used to Construct Variables Control ChartsData Collection and Plotting Forms for Attributes and Variables Control ChartsINDEXReviews:
Average customer rating:
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Introduction to Quality Management: Assurance and Control
Hutchins
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover
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Quality Control
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Quality Control
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ASIN: 0675208963 |
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Introduction to Distribution Logistics (Statistics in Practice)
Paolo Brandimarte , and
Giulio Zotteri
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover
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Distribution & Warehouse Management
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ASIN: 0471750441 |
Book Description
This text presents the basics of distribution logistics (DL) in both a qualitative and quantitative manner so as to reach out to a multitude of reader backgrounds. Devoid of solid quantitative books in the marketplace, this book fills a gap. The authors do not encourage the undiscriminating use of sophisticated models and algorithms to the detriment of intuition and common sense. The emphases throughout the book are on the variety and complexity of issues and sub problems surrounding DL and their limitations and scope of applicability. The context in which a firm operates, its strategic positioning, and the managerial levers that decision makers may act upon represent key discussions and provide a unified approach to the subject matter.
Book Description
This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on June 1, 1998. The length of the article is 781 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details
Title: Introduction to Statistical Quality Control, 3d ed. (book reviews)
Author: Richard Gerth
Publication:
IIE Transactions (Refereed)
Date: June 1, 1998
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v30
Issue: n6
Page: p574(1)
Article Type: Book Review
Distributed by Thomson Gale
Average customer rating:
- Excellent Book But Beware of Titles with "Introduction"
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Reliability Analysis for Engineers: An Introduction
Roger D. Leitch
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback
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ASIN: 019856371X |
Book Description
In ordinary life "reliability" is an ephemeral but desirable property of a machine or service that is generally judged in a very subjective manner. For an engineer reliability has large cost and sometimes safety implications; it is therefore very important to be able to quantify it. This book is an introduction to reliability analysis aimed at engineers (not statisticians). As such it begins by assuming no prior statistical knowledge. It teaches by examples taken from engineering problems. Exercises are built around real machines and events and the solutions given illuminate the subject. Being able to quantify reliability allows engineers to quantify its financial implications in terms of maintenance policies, running costs, and spares stockholding. In safety critical situations (transport or military equipment) the implications are wider. In any complex project it is extremely important to be able to make reliability predictions.
Customer Reviews:
Excellent Book But Beware of Titles with "Introduction".......2006-01-07
My old chemistry teacher, Mr. MacDonald, once said, "Beware of Textbooks with introduction in the title." He was right. This text was a thoroughly enjoyable read, though sometimes I was over my head. With that said, and I abhore technocrats spouting terminology, it was an excellent text with thorough explanations of risk factor calculations; I bought this book to accompany Mark Tweeddale's "Managing Risk and Reliability of Process Plants." This book is a must-have for those involved in reliability, i.e., process engineers, reliability engineers, and safety engineers.
If this review was helpful, please add your vote -- Thanks.
Books:
- Introduction to Statistical Quality Control
- Introduction to Statistical Quality Control
- Introduction to the Mathematics of Financial Derivatives
- Introduction to Time Series and Forecasting
- Inventory Accuracy: People, Processes, & Technology
- Key Performance Indicators: Developing, Implementing,and Using Winning KPIs
- Key Performance Indicators: Developing, Implementing,and Using Winning KPIs
- Management and the Control of Quality with Student CD-ROM
- Managing New Product and Process Development: Text and Cases
- Managing New Technology Development
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