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Author: Rajesh Jugulum Publisher: CRC Press ISBN: 0429877269 Category : Business & Economics Languages : en Pages : 126
Book Description
Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution
Author: Rajesh Jugulum Publisher: CRC Press ISBN: 0429877269 Category : Business & Economics Languages : en Pages : 126
Book Description
Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution
Author: Madhav Phadke Publisher: ISBN: 9780578940892 Category : Languages : en Pages :
Book Description
The book presents a systematic and efficient method to design high quality / reliability and high performance products / processes at low cost. Contains case studies from diverse engineering fields to describe Robust Design / Taguchi method.Some topics covered are: orthogonal arrays, Signal-to-Noise ratios as design quality metric, computer-aided robust design techniques, and more.
Author: Sung H. Park Publisher: World Scientific ISBN: 9812778675 Category : Technology & Engineering Languages : en Pages : 558
Book Description
This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
Author: Sung Park Publisher: Boom Koninklijke Uitgevers ISBN: 9780412556203 Category : Business & Economics Languages : en Pages : 356
Book Description
This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.
Author: Genichi Taguchi Publisher: McGraw Hill Professional ISBN: 9780071399395 Category : Technology & Engineering Languages : en Pages : 266
Book Description
Powerful and elegantly simple. Achieve higher quality...lower costs...faster time to market Companies worldwide have used the methods of quality expert Genichi Taguchi for the past 30 years with phenomenal product development cost savings and quality improvements. Robust Engineering, by this three-time Deming Prize winner, along with Subir Chowdhury and Shin Taguchi, is the first book to explain and illustrate his newest, most revolutionary methodology, Technology Development. It joins Design of Experiments and Robust Design as the framework on which your company can build a competitive edge. Case studies of real-world organizations Ford, ITT, 3M, Minolta, NASA, Nissan, Xerox and 9 others show you how the techniques of all three methodologies can be successfully applied. You'll hammer flexibility into your manufacturing organization to minimize product development costs, reduce product time-to-market, and fully satisfy customers needs. Project Management is going to be huge in the next decade...--Fortune Busy managers single-source guide to planning, organizing and controlling projects At last there's a concise, compact (5Ó x 8Ó) hands-on guide that puts state-of-the-art management concepts and processes at your fingertips. Project Manager's Portable Handbook, by David I. Cleland and Lewis R. Ireland, is your step-by-step guide to the nuts-and-bolts details that spell project management success. YouÕre shown how to organize and manage everything from small to multiple projects...lead and coach project team members...and manage within a strategic context from project partnering to dealing with the board of directors and other stakeholders. You'll find out how to: Select and use PM software; Develop winning proposals; Handle legal considerations; Come out on top in contract
Author: Khosrow Dehnad Publisher: Springer Science & Business Media ISBN: 1468414720 Category : Technology & Engineering Languages : en Pages : 309
Book Description
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.
Author: Sung H Park Publisher: World Scientific Publishing Company ISBN: 9813107073 Category : Technology & Engineering Languages : en Pages : 560
Book Description
This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.
Author: Bo Bergman Publisher: John Wiley & Sons ISBN: 047074880X Category : Technology & Engineering Languages : en Pages : 214
Book Description
Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real–world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented. This book promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty; includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering; takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work; includes case studies and illustrative examples that translate the theory into practice. Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.
Author: Pengzhong Li Publisher: BoD – Books on Demand ISBN: 1839624973 Category : Technology & Engineering Languages : en Pages : 244
Book Description
Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.
Author: Erik Demeulemeester Publisher: Now Publishers Inc ISBN: 1601984340 Category : Business & Economics Languages : en Pages : 187
Book Description
Robust Project Scheduling is to review the fundamentals of robust project scheduling through the deployment of proactive/reactive project scheduling procedures.
Author: Rajesh Jugulum
Author: Rajesh Jugulum
Author: Madhav Phadke
Author: Sung H. Park
Author: Sung Park
Author: Genichi Taguchi
Author: Khosrow Dehnad
Author: Sung H Park
Author: Bo Bergman
Author: Pengzhong Li
Author: Erik Demeulemeester