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For the first time in a single volume, quality control, reliability, and design engineers have a comprehensive overview of how each of their disciplines interact to achieve optimum product and/or project success. Thoroughly covering every stage of each phase, this outstanding reference provides detailed discussions of techniques and methods, ensuring cost-effective and time-saving procedures ... contains over 80 solved problems -- as well as numerous end-of-chapter exercises -- for reinforcement of essential material ... presents a complete, relevant mathematics chapter that eliminates the need to refer to other math texts ... offers self-contained chapters with introductions, summaries, and extensive references for quick, easy reading and additional study. Quality Control, Reliability, and Engineering Design is a key, on-the-job source for quality control, reliability, and design engineers and managers; system engineers and managers; and mechanical, electrical and electronic, industrial, and project engineers and managers. The book also serves as an ideal reference for professional seminars and in-house training programs, as well as for upper-level undergraduate and graduate courses in Quality Control, Reliability, Quality Control and Reliability, and Quality Control of Engineering Design. Book jacket.
Integrating development processes, policies, and reliability predictions from the beginning of the product development lifecycle to ensure high levels of product performance and safety, this book helps companies overcome the challenges posed by increasingly complex systems in today’s competitive marketplace. Examining both research on and practical aspects of product quality and reliability management with an emphasis on applications, the book features contributions written by active researchers and/or experienced practitioners in the field, so as to effectively bridge the gap between theory and practice and address new research challenges in reliability and quality management in practice. Postgraduates, researchers and practitioners in the areas of reliability engineering and management, amongst others, will find the book to offer a state-of-the-art survey of quality and reliability management and practices.
Quality control is a constant priority in electrical, mechanical, aeronautical, and nuclear engineering – as well as in the vast domain of electronics, from home appliances to computers and telecommunications. Quality Control Applications provides guidance and valuable insight into quality control policies; their methods, their implementation, constant observation and associated technical audits. What has previously been a mostly mathematical topic is translated here for engineers concerned with the practical implementation of quality control. Once the fundamentals of quality control are established, Quality Control Applications goes on to develop this knowledge and explain how to apply it in the most effective way. Techniques are described and supported using relevant, real-life, case studies to provide detail and clarity for those without a mathematical background. Among the many practical examples, two case studies dramatize the importance of quality assurance: A shot-by-shot analysis of the errors made in the Fukushima Daiichi nuclear disaster; and the engineering failure with new technology due to the absence of quality control in an alternative energy project. This clear and comprehensive approach makes Quality Control Applications an essential reference for those studying engineering as well industry professionals involved in quality control across product and system design.
This book presents the state-of-the-art in quality and reliability engineering from a product life-cycle standpoint. Topics in reliability include reliability models, life data analysis and modeling, design for reliability as well as accelerated life testing and reliability growth analysis, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as environmental stress screening and burn-in, warranty and maintenance. The book provides comprehensive insights into two closely related subjects, and includes a wealth of examples and problems to enhance readers’ comprehension and link theory and practice. All numerical examples can be easily solved using Microsoft Excel. The book is intended for senior undergraduate and postgraduate students in related engineering and management programs such as mechanical engineering, manufacturing engineering, industrial engineering and engineering management programs, as well as for researchers and engineers in the quality and reliability fields. Dr. Renyan Jiang is a professor at the Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China.
Due to global competition, safety regulations, and other factors, manufacturers are increasingly pressed to create products that are safe, highly reliable, and of high quality. Engineers and quality assurance professionals need a cross-disciplinary understanding of these topics in order to ensure high standards in the design and manufacturing proce
This book discusses basic concepts, principles, and quality characteristics in the service industries, an understanding of the techniques and their applications. It helps to close the gap between proven principles and successful applications.
Each industry, from robotics to health care, power generation to software, has its own tailored reliability and quality principles, methods, and procedures. This book brings these together so that reliability and quality professionals can more easily learn about each other's work, which may help them, directly or indirectly, to perform their tasks more effectively.
Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.
This work provides the tools required to help researchers reduce risks and minimize costs, emphasizing the techniques that achieve and improve quality, as well as illustrating the need for change in current laboratory management practices. The book features an in-depth study of the strengths and weaknesses of peer review, with checklist examples from the US office of naval research.;The book is intended for quality, reliability, industrial, design, process, manufacturing, chemical, mechanical, metallurgic and electrical and electronics engineers; cost analysts; physicists; chemists; chief executive officers; laboratory managers and administrators; and upper-level undergraduate and graduate students in these disciplines.