Statistics as a science of control

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.

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 gives the reader an up-to-date overview of the medical device manufacturing process and its influence on current regulations highlighting the importance of quality control in pharmaceutical products and medical devices, which must have very high-quality standards so as not to cause problems to the health of patients"--

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.

The questionable practices and policies of many businesses are coming under scrutiny by consumers and the media. As such, it important to research new methods and systems for creating optimal business cultures. Organizational Culture and Behavior: Concepts, Methodologies, Tools, and Applications is a comprehensive resource on the latest advances and developments for creating a system of shared values and beliefs in business environments. Featuring extensive coverage across a range of relevant perspectives and topics, such as organizational climate, collaboration orientation, and aggressiveness orientation, this book is ideally designed for business owners, managers, entrepreneurs, professionals, researchers, and students actively involved in the modern business realm.

"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--