Takes into account the human element as well as the classical aspects of mechanical, electrical and chemical designs that contribute to risk. Features a significant amount of data essential for risk analysis not normally available. Contains numerous examples of authentic applications and case studies.
Human Reliability: With Human Factors focuses on human reliability during system design. The book is organized into 13 chapters, wherein Chapter 1 presents histories of human factors and human reliability along with selective terms and definitions. Chapter 2 shows basic reliability mathematics and concepts. Subsequent chapters then elaborate on human reliability, human errors, six human reliability analysis methods, and reliability evaluation of systems with human errors. Other chapters elucidate human factors in maintenance and maintainability; human safety; human reliability data; and human factors in quality control, design, mathematical models, and formulas. Applications of human factors engineering are also addressed. The text will be valuable to human factor engineers and specialists, reliability and maintainability specialists, system and design engineers, industrial engineers, quality control engineers, and students.
Human error is here to stay. This perhaps obvious statement has a profound implication for society when faced with the types of hazardous system accidents that have occurred over the past three decades. Such accidents have been strongly influenced by human error, yet many system designs in existence or being planned and built do not take human error into consideration.; "A Guide to Practical Human Reliability Assessment" is a practical and pragmatic guide to the techniques and approaches of human reliability assessment HRA. lt offers the reader explanatory and practical methods which have been applied and have worked in high technology and high risk assessments - particularly but not exclusively to potentially hazardous industries such as exist in process control, nuclear power, chemical and petrochemical industries. A Guide to Practical Human Reliability Assessment offers the practitioner a comprehensive tool-kit of different approaches along with guidance on selecting different methods for different applications. It covers the risk assessment and the HRA process, as well as methods of task analysis, error identification, quantification, representation of errors in the risk analysis, followed by error reduction analysis, quality assurance and documentation. There are also a number of detailed case studies from nuclear, chemical, offshore, and marine HRA'S, exemplfying the image of techniques and the impact of HRA in existing and design-stage systems.
The objectives of Human Reliability are to build reliability into the job, into the machine, and into the environment, and to let man perform naturally. In this book the author shows how these objectives can be achieved by concentrating on human reliability issues during the design stage. This is done by illustrating the relationships between various design features and some aspect of human performance, e.g. human errors.The book is designed as a practical guide to the daily performance of tasks in Human Reliability as well as a general reference and tutorial introduction to the field. It is therefore both practical and theoretical: the first four chapters focus on principles and ramifications relevant to human error prevention; the latter four are primarily concerned with human reliability analysis and prediction methodology. Throughout the book there are extensive references, numerous ready-to-use recommendations, formulas and mathematical models, and computer programs for human reliability work for analyzing, predicting and preventing human errors in a variety of situations. Though some of the material requires undergraduate training in engineering, the more difficult mathematical expositions can be omitted without loss of continuity, but are available for the reader who needs a more complete understanding of the relevant theory.
The Human Contribution is vital reading for all professionals in high-consequence environments and for managers of any complex system. The book draws its illustrative material from a wide variety of hazardous domains, with the emphasis on healthcare reflecting the author's focus on patient safety over the last decade. All students of human factors - however seasoned - will also find it an invaluable and thought-provoking read.
Major accidents are rare events due to the many barriers, safeguards and defences developed by modern technologies. But they continue to happen with saddening regularity and their human and financial consequences are all too often unacceptably catastrophic. One of the greatest challenges we face is to develop more effective ways of both understanding and limiting their occurrence. This lucid book presents a set of common principles to further our knowledge of the causes of major accidents in a wide variety of high-technology systems. It also describes tools and techniques for managing the risks of such organizational accidents that go beyond those currently available to system managers and safety professionals. James Reason deals comprehensively with the prevention of major accidents arising from human and organizational causes. He argues that the same general principles and management techniques are appropriate for many different domains. These include banks and insurance companies just as much as nuclear power plants, oil exploration and production companies, chemical process installations and air, sea and rail transport. Its unique combination of principles and practicalities make this seminal book essential reading for all whose daily business is to manage, audit and regulate hazardous technologies of all kinds. It is relevant to those concerned with understanding and controlling human and organizational factors and will also interest academic readers and those working in industrial and government agencies.
Presents a practical approach for incorporating human reliability analysis (HRA) into probabilistic safety assessment (PSA). This document describes the steps needed and the documentation that should be provided both to support the PSA itself and to ensure effective communication of important information arising from the studies.
The growing dependence of working environments on complex technology has created many challenges and lead to a large number of accidents. Although the quality of organization and management within the work environment plays an important role in these accidents, the significance of individual human action (as a direct cause and as a mitigating factor) is undeniable. This has created a need for new, integrated approaches to accident analysis and risk assessment.This book detailing the use of CREAM is, therefore, both timely and useful. It presents an error taxonomy which integrates individual, technological and organizational factors based on cognitive engineering principles. In addition to the necessary theoretical foundation, it provides a step-by-step description of how the taxonomy can be applied to analyse as well as predict performance using a context-dependent cognitive model.CREAM can be used as a second-generation human reliability analysis (HRA) approach in probabilistic safety assessment (PSA), as a stand-alone method for accident analysis and as part of a larger design method for interactive systems. In particular, the use of CREAM will enable system designers and risk analysts to: • identify tasks that require human cognition and therefore depend on cognitive reliability • determine the conditions where cognitive reliability and ensuing risk may be reduced • provide an appraisal of the consequences of human performance on system safety which can be used in PSA.
Although Reliability Engineering can trace its roots back to World War II, its application to medical devices is relatively recent, and its treatment in the published literature has been quite limited. With the medical device industry among the fastest growing segments of the US economy, it is vital that the engineering, biomedical, manufacturing,