Human Factor And Reliability Analysis To Prevent Losses In Industrial Processes

Human reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provides a multidisciplinary analysis of work concepts and environments to reduce human error and prevent material, energy, image, and time losses. The book presents a methodology for the quantification and investigation of human reliability, and verification of the influence of human factors in the generation of process losses, consisting of the following steps: contextualization, data collection, and results; performing task and loss observation; socio-technical variable analyses; and data processing. Investigating human reliability, concepts, and models in situations of human error in practice, the book identifies where low reliability occurs and then visualizes where and how to perform an intervention. This guide is an excellent resource for professionals in chemical, petrochemical, oil, and nuclear industries for managing and analyzing safety and loss risks and for students in chemical and process engineering. Relates human reliability to the environment, leadership, decision models, possible mistakes and successes, mental map constructions, and organizational cultures Provides techniques for the diagnosis of human and operational reliability Gives examples of the application of methodologies in the stage of diagnosis and program construction Discusses competences for the analysis of process losses in industry Investigates real-life situations where human errors cause losses Includes practical examples and case studies

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.

This book collects a high-quality selection of contemporary research and case studies on the complexity resulting from human/reliability management in industrial plants and critical infrastructures. It includes: Human-error management issues—considering how to reduce human errors as much as possible. Reliability management issues—considering the ability of a system or component to function under certain conditions for a specified period of time. Thus, the book analyses globally the problem regarding the human and reliability management to reduce human errors as much as possible and to ensure safety and security in critical infrastructures. Accidents continue to be the major concern in “critical infrastructures”, and human factors have been proved to be the prime causes to accidents. Clearly, human dynamics are a challenging management function to guarantee reliability, safety and costs reduction in critical infrastructures. The book is enriched by figures, examples and extensive case studies and is a valuable reference resource for those with involved in disaster and emergency planning as well as researchers interested both in theoretical and practical aspects.

This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation. It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book: • Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.

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 Factors Methods for Improving Performance in the Process Industries provides guidance for managers and plant engineering staff on specific, practical techniques and tools for addressing forty different human factors issues impacting process safety. Human factors incidents can result in injury and death, damage to the environment, fines, and business losses due to ruined batches, off-spec products, unplanned shutdowns, and other adverse effects. Prevention of these incidents increases productivity and profits. Complete with examples, case histories, techniques, and implementation methodologies, Human Factors Methods for Improving Performance in the Process Industries helps managers and engineering staff design and execute an efficient program. Organized for topical reference, the book includes: An overview on implementing a human factors program at the corporate level or the plant level, covering the business value, developing a program to meet specific needs, improving existing systems, roles and responsibilities, measures of performance, and more Summaries of forty different human factors relating to process safety, with a description of the tools, a practical example with graphics and visual aids, and additional resources Information on addressing the OSHA Process Safety Management (PSM) requirement for conducting human factors reviews in process hazard analyses (PHAs) A CD-ROM with a color version of the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

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 development of the theory of fuzzy sets was motivated largely by the need for a computational framework for dealing with systems in which human judgement, behavior and emotions play a dominant role. Although there are very few papers on fuzzy sets in the literature of psychology and cognitive science, the theory of fuzzy sets provides a much better model for human cognition than traditional approaches.