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Author: Jiju Antony
Publisher: Springer Science & Business Media
ISBN: 1461552931
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines.
Author: Jiju Antony
Publisher: Springer Science & Business Media
ISBN: 1461552931
Category : Business & Economics
Languages : en
Pages : 260
Get Book Here
Book Description
Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike. In today's business world, the implementation of experimental design techniques often falls short of the mark due to a lack of statistical knowledge on the part of engineers and managers in their analyses of manufacturing process quality problems. This timely book aims to fill this gap in the statistical knowledge required by engineers to solve manufacturing quality problems by using Taguchi experimental design methodology. The book increases awareness of strategic methodology through real-life case studies, providing valuable information for both academics and professionals with no prior knowledge of the theory of probability and statistics. Experimental Quality: Provides a unique framework to help engineers and managers address quality problems and use strategic design methodology. Offers detailed case studies illustrating the implementation of experimental design theory. Is easily accessible without prior knowledge or understanding of probability and statistics. This book provides an excellent resource for both academic and industrial environments, and will prove invaluable to practising industrial engineers, quality engineers and engineering managers from all disciplines.
Author: Thomas B. Barker
Publisher: CRC Press
ISBN: 1482249677
Category : Business & Economics
Languages : en
Pages : 740
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Book Description
Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of ResourcesWritten by longtime experimental design guru Thomas B. Barker and experimental development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze ex
Author: Thomas B. Barker
Publisher: CRC Press
ISBN: 9780824723095
Category : Mathematics
Languages : en
Pages : 726
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Book Description
Continuing a best-selling tradition, the third edition of Quality by Experimental Design uses the same easy-to-read and understand format that made the previous two editions so popular with newcomers and experienced readers alike. Completely revised and revamped, the third edition has lost none of the features that made each of the previous editions bestsellers in their own right. Written in Thomas Barker's trademark, conversational style, the third edition includes new topics on inference, more realistic practice problems, examples using Minitab®, and a large dose of Robust Design philosophy and methods. Barker integrates the Robust Design, sometimes known as the Taguchi approach, as a natural part of the design effort and establishes a criterion for measurement variables. He provides step-by-step guides to the Minitab software that give you the ability to apply the concepts in practical applications and includes easy to use experimental design templates. The author presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner. Emphasizing both the philosophy and the techniques for setting up experiments, the book shows you how to achieve increased efficiency, timely accomplishment of goals, visualization through graphical and numerical representation, and control of the experiment through careful planning. Those new to QED will find some of the most powerful ideas in scientific investigation and engineering understanding in this book. Seasoned QED'ers will appreciate the new insight it offers and timely reviews of subjects in which they may have become a bit rusty.
Author: United States. Congress. Senate. Committee on Labor and Public Welfare. Subcommittee on Health
Publisher:
ISBN:
Category : Human experimentation in medicine
Languages : en
Pages : 834
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
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Book Description
Author: United States. Congress. Senate. Committee on Labor and Public Welfare. Subcommittee on Health
Publisher:
ISBN:
Category : Human experimentation in medicine
Languages : en
Pages : 1360
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Book Description
Author: Robert H. Lochner
Publisher: Productivity Press
ISBN:
Category : Art
Languages : en
Pages : 266
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Book Description
Author: United States. Congress. Senate. Committee on Labor and Public Welfare. Subcommittee on Health
Publisher:
ISBN:
Category : Human experimentation in medicine
Languages : en
Pages : 466
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Book Description
Author: Stephen B. Vardeman
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
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Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Author: Chao-Ton Su
Publisher: CRC Press
ISBN: 1466569484
Category : Business & Economics
Languages : en
Pages : 391
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Book Description
As quality becomes an increasingly essential factor for achieving business success, building quality improvement into all stages—product planning, product design, and process design—instead of just manufacturing has also become essential. Quality Engineering: Off-Line Methods and Applications explores how to use quality engineering methods and other modern techniques to ensure design optimization at every stage. The book takes a broad approach, focusing on the user’s perspective and building a well-structured framework for the study and implementation of quality engineering. Starting with the basics, this book presents an overall picture of quality engineering. The author delineates quality engineering methods such as DOE, Taguchi, and RSM as well as computational intelligence approaches. He discusses how to use a general computational intelligence approach to improve product quality and process performance. He also provides extensive examples and case studies, numerous exercises, and a glossary of basic terms. By adopting quality engineering, the defect rate during manufacturing shows noticeable improvement, the production cost is significantly lower, and the quality and reliability of products can be enhanced. Taking an integrated approach that makes the methods of upstream quality improvement accessible, without extensive mathematical treatments, this book is both a practical reference and an excellent textbook.
