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This book shows how to identify potential design errors and modify procedures in the design process to mitigate design-induced error. Real life examples are used to demonstrate the points being made. Many of the concerns raised in the book have come from a worldwide study conducted with designers, managers, and end-users.
This book shows how to identify potential design errors and modify procedures in the design process to mitigate design-induced error. Real life examples are used to demonstrate the points being made. Many of the concerns raised in the book have come from a worldwide study conducted with designers, managers, and end-users.
Written by the experts at 37signals, this book shows hundreds of real-world examples from companies like Amazon, Google, and Yahoo that show the right (and wrong) ways to get defensive. Readers will learn 40 guidelines to prevent errors and rescue customers if a breakdown occurs. They'll also explore how to evaluate their own site's defensive design and improve it over the long term.
"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.
Case histories of engineering success and failure are presented to enrich understanding of the design process.
While ultra-precision machines are now achieving sub-nanometer accuracy, unique challenges continue to arise due to their tight specifications. Written to meet the growing needs of mechanical engineers and other professionals to understand these specialized design process issues, Introduction to Precision Machine Design and Error Assessment places
The goal of the world class company is to produce a product or service that offers customers the highest quality at the lowest cost and in the shortest time possible. Product Design Review describes a highly effective method for quality control in product design, as well as its applications in a wide variety of business settings. Take care of the problems that erupt during product development by nipping them in the bud (during the design stage). Takashi Ichida describes a powerful tool insuring quality at concept stage, thereby eliminating redesign, retooling, rework, and error throughout the production process. The program he describes can be carried out through every phase of new product development - - from product planning to design, production, and marketing. Also explains how you can incorporate your customer feedback into the next production cycle. You'll always need to modify any process improvement technology to suit your company's culture, product type, manufacturing approach, and customer needs. Product Design Review has taken case studies from a cross section of industries and describes each company's unique application of Ichida's process. You'll not only see the tremendous results these companies have achieved by using Design Review, but you'll also see the difficulties they've encountered. Also included are five essays that compare Design Review with other innovations in manufacturing process such as artificial intelligence, checklists, quality function deployment (QFD), design of experiments (DOE), and configuration control.
Experts estimate that as many as 98,000 people die in any given year from medical errors that occur in hospitals. That's more than die from motor vehicle accidents, breast cancer, or AIDSâ€"three causes that receive far more public attention. Indeed, more people die annually from medication errors than from workplace injuries. Add the financial cost to the human tragedy, and medical error easily rises to the top ranks of urgent, widespread public problems. To Err Is Human breaks the silence that has surrounded medical errors and their consequenceâ€"but not by pointing fingers at caring health care professionals who make honest mistakes. After all, to err is human. Instead, this book sets forth a national agendaâ€"with state and local implicationsâ€"for reducing medical errors and improving patient safety through the design of a safer health system. This volume reveals the often startling statistics of medical error and the disparity between the incidence of error and public perception of it, given many patients' expectations that the medical profession always performs perfectly. A careful examination is made of how the surrounding forces of legislation, regulation, and market activity influence the quality of care provided by health care organizations and then looks at their handling of medical mistakes. Using a detailed case study, the book reviews the current understanding of why these mistakes happen. A key theme is that legitimate liability concerns discourage reporting of errorsâ€"which begs the question, "How can we learn from our mistakes?" Balancing regulatory versus market-based initiatives and public versus private efforts, the Institute of Medicine presents wide-ranging recommendations for improving patient safety, in the areas of leadership, improved data collection and analysis, and development of effective systems at the level of direct patient care. To Err Is Human asserts that the problem is not bad people in health careâ€"it is that good people are working in bad systems that need to be made safer. Comprehensive and straightforward, this book offers a clear prescription for raising the level of patient safety in American health care. It also explains how patients themselves can influence the quality of care that they receive once they check into the hospital. This book will be vitally important to federal, state, and local health policy makers and regulators, health professional licensing officials, hospital administrators, medical educators and students, health caregivers, health journalists, patient advocatesâ€"as well as patients themselves. First in a series of publications from the Quality of Health Care in America, a project initiated by the Institute of Medicine
In contrast to nuclear plants and aerospace systems, human error is largely ignored in quantitative risk assessment for petroleum and chemical plants. Because of this, current risk analysis methods are able to calculate and predict only about one-third of the accidents happening in practice. Human Error in Process Plant Design and Operations: A Pra