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A practical work aid for experimental design, this handy reference provides practitioners of Taguchi Methods ready access to 20 of the more commonly used orthogonal arrays and 149 linear graphs, as well as brief explanatory information.

Taguchi Methods: Case Studies from the U.S. and Europe (Quality Engineering, Vol 6) [hardcover] Taguchi, Genichi,Wu, Yuin [Mar 01, 1993]

(12) 399 S., zahlr. Fig., gr.okt., Ln., StaT.- [ Wirtschaftswissenschaft Betriebswirtschaft Management SpracheEN J 1989 N A. Bendell ] --

"This book is a great demonstration of this powerful approach andhow it can make a meaningful difference in any type of business. Ittakes a dedicated engineering approach to implement, but thepayback in customer satisfaction and growth is dramatic." --Lou Giuliano, chairman, president, and CEO, ITT Industries No other single volume presents the full breadth of foundingbeliefs behind the successful engineering practices used by today'sleading companies. Helpful to companies in both manufacturing andservice industries, Taguchi's Quality Engineering Handbookprovides accessible material on such topics as: * Quality loss function * On-line quality engineering * Signal-to-noise ratio * Robust engineering * Design of experiments (known as the "Taguchi method") * Mahalanobis-Taguchi Systems (MTS) * and more. Prize or Award * AAP Awards for Excellence in Professional and ScholarlyPublishing, 2006

Taguchi Techniques Made Easier Than Ever! Regardless of your experience with statistics, the Second Edition of Taguchi Techniques for Quality Engineering, by Saturn quality engineer Phillip J. Ross, shows you step-by-step how to design effective experiments to reduce variation, improve the quality of products and processes, and slash development time and costs. Now organized in the chronological order of the DOE process, this revised and updated edition give you the tools to exploit: the loss function concept--to quantify the cost of product and process variations; orthogonal experiment design--to pinpoint areas where variation may be reduced; parameter and tolerance design--to reduce variations in products and processes at little or no cost.

Through the theories, strategies, and broad range of case studies in Taguchi Methods for Robust Design, you gain exposure to the entire spectrum of robust design, and master its application. You also learn to prevent quality problems in the early stages of product development/design, to use the dynamic signal-to-noise (SN) ratio as the performance index for robustness of production functions, and to evaluate methods of data collection and analyze case studies of parameter design. Contents include: Types of SN ratios Basic dynamic-type SN ratios for continuous variables Various cases Non-dynamic SN ratios Classified attributes SN ratio with complex numbers Layout and analysis of Youden Square Incomplete data Robust technology department Case studies.

The legendary Dr. Taguchi's comprehensive system of quality engineering is one of the great engineering achievements of the twentieth century. In this pioneering work, Dr. Taguchi uses easy to understand examples to show engineers and managers how to bring the immense power of his quality engineering methods upstream to develop the robust technologies that are essential for rapidly creating new product, refining existing ones, and manufacturing higher quality products at significantly lower cost. Contents include: Quality and Productivity, Methods for Evaluating Quality, Methods for Specifying Tolerances, Quality Management for Production Processes, and Parameter Design.

"This book is a great demonstration of this powerful approach andhow it can make a meaningful difference in any type of business. Ittakes a dedicated engineering approach to implement, but thepayback in customer satisfaction and growth is dramatic." --Lou Giuliano, chairman, president, and CEO, ITT Industries No other single volume presents the full breadth of foundingbeliefs behind the successful engineering practices used by today'sleading companies. Helpful to companies in both manufacturing andservice industries, Taguchi's Quality Engineering Handbookprovides accessible material on such topics as: * Quality loss function * On-line quality engineering * Signal-to-noise ratio * Robust engineering * Design of experiments (known as the "Taguchi method") * Mahalanobis-Taguchi Systems (MTS) * and more. Prize or Award * AAP Awards for Excellence in Professional and ScholarlyPublishing, 2006

Taguchi Techniques Made Easier Than Ever! Regardless of your experience with statistics, the Second Edition of Taguchi Techniques for Quality Engineering, by Saturn quality engineer Phillip J. Ross, shows you step-by-step how to design effective experiments to reduce variation, improve the quality of products and processes, and slash development time and costs. Now organized in the chronological order of the DOE process, this revised and updated edition give you the tools to exploit: the loss function concept--to quantify the cost of product and process variations; orthogonal experiment design--to pinpoint areas where variation may be reduced; parameter and tolerance design--to reduce variations in products and processes at little or no cost.

A clear, simple and essentially non-mathematical presentation, this practical guide introduces you to the basic concepts, techniques and applications of the renowned Taguchi approach. Numerous real-world examples will help you see how the Taguchi Method works in a variety of manufacturing applications. For those who need a more rigorous statistical treatment, the book’s working appendices provide full mathematical details on orthogonal arrays, triangular tables and linear graphs, plus fully worked solutions to problems presented in the example case studies.

Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system. Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include: * An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book * Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text * Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.

Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system. Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include: * An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book * Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text * Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.

The heat exchanger is major element as far as heat transfer and energy conservation is concern. There are so many types of heat exchangers available but due to wide range of design possibilities, simple manufacturing, low maintenance cost, cross flow and counter flow heat exchanger extensively used in petroleum, petrochemical , air conditioning, food storage and other industries. The shell and tube heat exchanger is widely used in industries as a chiller plant for transfer waste heat from the injection molding machine to the cooling water for improve the efficiency of the injection molding machine. The transformations of the waste heat from the injection molding machine to the cooling water are dependent on the heat exchange capacity of heat exchangers. To increase the heat exchange capacity of heat exchanger optimization is done which seeks to identify the best parameter combination of heat exchangers. Nine models are made on the basis of taguchi method in NX 10.00 and CFX analysis is carried out in ANSYS 14.5. Result obtained from that gives the best dimension of heat exchanger for minimum outlet temperature of water.

In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity "signal-ta-noise" ratio was to be optimized. Since then, this experi­ mental approach has been named "robust design" and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation.

The book contains complete information on the process of engineering robust products that are insensitive to sources of variability in manufacturing and customer use. You will find detailed instructions for planning, designing, conducting, and analyzing the experiments that are used to optimize a product's performance under a variety of "stressed" conditions. An entire section focuses on designing products that achieve additivity, the property that reduces negative interactions. In addition, the book offers a systematic method for optimizing cost, quality, and cycle time. It even discusses the relationship of robust design to such other quality processes as Quality Function Deployment and Six Sigma.

The heat exchanger is major element as far as heat transfer and energy conservation is concern. There are so many types of heat exchangers available but due to wide range of design possibilities, simple manufacturing, low maintenance cost, cross flow and counter flow heat exchanger extensively used in petroleum, petrochemical , air conditioning, food storage and other industries. The shell and tube heat exchanger is widely used in industries as a chiller plant for transfer waste heat from the injection molding machine to the cooling water for improve the efficiency of the injection molding machine. The transformations of the waste heat from the injection molding machine to the cooling water are dependent on the heat exchange capacity of heat exchangers. To increase the heat exchange capacity of heat exchanger optimization is done which seeks to identify the best parameter combination of heat exchangers. Nine models are made on the basis of taguchi method in NX 10.00 and CFX analysis is carried out in ANSYS 14.5. Result obtained from that gives the best dimension of heat exchanger for minimum outlet temperature of water.

Formerly titled Quality Control, the field’s most accessible introduction to quality has been renamed and revamped to focus on quantitative aspects of quality improvement. New chapters on Lean Enterprise, Six Sigma, Experimental Design, and Taguchi’s Quality Engineering have been added, and this new Ninth Edition adds comprehensive coverage of fundamental statistical quality improvement concepts. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles. To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts. As with previous editions, this text is written to serve a widely diverse audience of students, including the growing number of “math shy” individuals who must play key roles in quality improvement.

Formerly titled Quality Control, the field’s most accessible introduction to quality has been renamed and revamped to focus on quantitative aspects of quality improvement. New chapters on Lean Enterprise, Six Sigma, Experimental Design, and Taguchi’s Quality Engineering have been added, and this new Ninth Edition adds comprehensive coverage of fundamental statistical quality improvement concepts. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles. To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts. As with previous editions, this text is written to serve a widely diverse audience of students, including the growing number of “math shy” individuals who must play key roles in quality improvement.

This book develops a quantitative structured methodology for managing the development of new products for highly competitive markets. Particular attention has been given to integrating a number of experimental tools and concepts within a common framework including marketing research. Taguchi methods, value benchmarking, value engineering, total quality management, activity based costing, concurrent engineering, statistical quality control, systems engineering, and organization treated today as related but separate tools and concepts. The reader should gain an understanding of how these tools complement each other and when they can be used most effectively to aid product decision making.

Formerly titled Quality Control, the field’s most accessible introduction to quality has been renamed and revamped to focus on quantitative aspects of quality improvement. New chapters on Lean Enterprise, Six Sigma, Experimental Design, and Taguchi’s Quality Engineering have been added, and this new Ninth Edition adds comprehensive coverage of fundamental statistical quality improvement concepts. A practical state-of-the-art approach is stressed throughout, and sufficient theory is presented to ensure that students develop a solid understanding of basic quality principles. To improve accessibility, probability and statistical techniques are presented through simpler math or developed via tables and charts. As with previous editions, this text is written to serve a widely diverse audience of students, including the growing number of “math shy” individuals who must play key roles in quality improvement.