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Rapid advance have been made in the last decade in the quality control procedures and techniques, most of the existing books try to cover specific techniques with all of their details. The aim of this book is to demonstrate quality control processes in a variety of areas, ranging from pharmaceutical and medical fields to construction engineering and data quality. A wide range of techniques and procedures have been covered.
Rapid advance have been made in the last decade in the quality control procedures and techniques, most of the existing books try to cover specific techniques with all of their details. The aim of this book is to demonstrate quality control processes in a variety of areas, ranging from pharmaceutical and medical fields to construction engineering and data quality. A wide range of techniques and procedures have been covered.
Market_Desc: * Managers* Industry Practitioners About The Book: This is a revision of a classic! This text provides a single source for information on both the structure and management of quality systems and the use of statistics to control and improve quality. It incorporates an international flavor and a good balance of services and manufacturing coverage. The goal of the second edition remains the same as the first edition - to promote learning by means of practical, effective applications intended to develop, control, and improve quality systems and processes.
There is a new chapter on ISO 9000, covering the history and application of the ISO 9000 family of standards; a new chapter on the concept of Total Quality Management; the Six Sigma Approach is introduced; and more comprehensive coverage of Quality, Quality Systems, Quality Assurance, and Quality Management.
Here's the quickest and most inexpensive way to learn about the pioneering work of Shigeo Shingo, co-creator (with Taiichi Ohno) of just-in-time. It's an introductory book containing excerpts of five of his classic books as well as an excellent introduction by Professor Robinson.
This book covers the foundations of modern methods of quality control and improvement that are used in the manufacturing and service industries. Quality is key to surviving tough competition. Consequently, business needs technically competent people who are well-versed in statistical quality control and improvement. This book should serve the needs of students in business and management and students in engineering, technology, and other related disciplines. Professionals will find this book to be a valuable reference in the field.
The rich palette of topics set out in this book provides a sufficiently broad overview of the developments in the field of quality control. By providing detailed information on various aspects of quality control, this book can serve as a basis for starting interdisciplinary cooperation, which has increasingly become an integral part of scientific and applied research.
Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
Quality 4.0 involves leveraging Industry 4.0 advancements like the Internet of Things, artificial intelligence, and big data to enhance products and services. This encompasses employing sensors and data analysis to oversee production processes in real time, detect flaws, and enhance effectiveness. The objective of Quality 4.0 is to attain elevated standards of product excellence, customer contentment, and operational efficiency by harnessing sophisticated technologies. Quality 4.0 can be applied across diverse sectors such as manufacturing, and service industries. In manufacturing, for instance, Quality 4.0 solutions enable real-time monitoring of production processes, defect detection, and efficiency enhancement. This entails utilising sensors, IoT devices, and data analytics to monitor production data and pinpoint areas ripe for improvement. The aim of this book is to introduce the issues of Quality 4.0 to both academic teachers and students. The book was designed to complement the rich literature in the field of quality management. It can be used as an additional guide or textbook for students. The book consists of four chapters. The book is one of the results of the international project “Improving quality management teaching in the era of Industry 4.0”. The project was co-financed by the Governments of Czechia, Hungary, Poland, and Slovakia through Visegrad Grants from International Visegrad Fund. The mission of the fund is to advance ideas for sustainable regional cooperation in Central Europe.
This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.