This book examines how safety failings during the use of any designed product or system-be it a car, a building, or a chemical plant-can be mitigated through effective understanding of the conditions and controls surrounding its use. Drawing on historical failures and their own real-world experience, Dr Andy Painting and David England explain how corporate culture, engineering safety, personnel selection, and proper safety auditing are key ingredients to maintaining safety in all aspects of an organization's operations. This effective strategy is also crucial to linking back to the design of future products in establishing where operational failures have been identified and can therefore be "designed out" in future iterations. The book challenges silo thinking among the various safety-related disciplines and shows how this can be counter-productive to effective safety management. Effectively Managing the Case for Safety draws on key features from engineering, design, and health and safety processes, which, when used cohesively, promote a better working environment for everyone and help to reduce wasted time, money, and effort for any organization. Safety is tracked from the initial design stage through any product's entire service life and includes evidence of how safety affects, and is affected by, all those who interact with a product, system, or project. Following their first book, An Effective Strategy for Safe Design in Engineering and Construction, which demonstrated how current construction regulations can be used as a framework to ensure that safety is embedded into the design of virtually any product from machinery to buildings, this follow up book defines what safe is, how it is initially derived, and how the operational safety of any product, during its in-use phase, can be managed and assessed. The result is not only to ensure compliance with relevant regulations but also to actively ensure the ongoing safety of all those who interact with a product or project.

This revised text discusses key aspects for protective gloves, including glove materials, the manufacture of gloves, how to perform testing of gloves, and glove performance. The book provides guidance on how to select gloves to prevent skin contamination from chemical and microbial exposure in the occupational environment and presents hard-to-find information in one easy-to-use resource. It covers important concepts, including prevention of contact dermatitis, clinical testing of occupation-related glove sensitivity, and infection control and preventative measures for pandemics. The book: Provides update state-of-the-art information, practices, standards, and guidelines Covers information on protective glove material technology, protective effects, and adverse medical effects Explores ways to select gloves to prevent skin contamination from chemical and microbial exposure in the occupational environment Discusses concepts, including glove materials, the manufacture of gloves, how to perform testing of gloves, and glove performance according to standardized technical methods in vivo. The text will be useful for professionals in the fields of occupational and industrial hygiene, health care, and public health. It will also help graduate students in the fields of chemistry, chemical engineering, mechanical engineering, biology, pharmacy, and environmental health. This book offers a wealth of information on protective glove material technology, protective effects, and adverse medical effects. It gives detailed discussion of parameters, including the selection and use of gloves for industrial chemicals, acrylates, and pesticides, and gloves as protection against microbial contamination. It will be a valuable resource for professionals and graduate students in the fields of occupational and industrial hygiene, healthcare, public health, chemistry, chemical engineering, mechanical engineering, biology, pharmacy, and environmental health.

This book statistically confirms that complexity and changing technologies that affect the way operators interact within the systems of the nuclear facili-ties exacerbate the severity of incidents caused by human error and details the application of the systems engineering process to reduce human error given industries' rapidly advancing technology. Technology, Human Performance, and Nuclear Facilities: A Systems Engineering Approach to Reduce Human Error provides a basic understand-ing of Human Error/ P erformance and its relation to industrial operations and advancing technologies incorporated into facilities. The book discusses the context surrounding the complexity of changing technologies at nuclear facili-ties and the potential worsening of problems caused by human error when technology advancements concerning operator interaction with control sys-tems are implemented. It presents how to reduce human error propensity given the incorporation of advanced technology and covers ways to reduce human error using the systems engineering process. Also offered are several concepts related to the operator's involvement in the systems engineering process and the human performance integration with system operational requirements and system testing, evaluation, and validation, and the procedures and training development in the systems engineering process. This book presents empirical evidence for the importance of human performance management in the con-text of nuclear facilities and offers practical recommendations for the improve-ment of this function. Systems engineers, plant/ design engineers, the nuclear industry, plant operations management, and those involved in industrial and nuclear safety will find something of interest in this book.

Digital Transformations for Lighting in the Workplace: A Systematic Approach Used in Ergonomics offers a practical concept for the implementation of digital transformation in ergonomics in work settings. It specifically focuses on providing information about illumination in production and non-production fields, and the described design solutions are applicable in practice. The concepts can be used in a typical manufacturing workplace or an academic setting. The methods in the book complement the modern trend to digitalise the workplace, making the research and practical outcomes of this book compatible with the concept of Industry 4.0 - Digital Manufacturing. This title offers a systematic approach to the field of digital transformation for ergonomics. It presents an opportunity for the reader to learn to create a digital model for lighting by analysing mathematical models for calculation through formulas and simulation algorithms. To put learning into context, this book provides two case studies from the production and non-production sectors, including an example of a classroom. The reader will then be able to utilise the methods to create their own digitized illumination system. This monograph is an ideal read for academics and researchers working at universities in the field of Ergonomics and professionals in industrial management including those in manufacturing plants, ergonomists, designers from the industry sector, or people who are interested in ergonomics, digitization, and simulation of a working environment.

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Explains the basis of Brain Computer Interface and how it can be established using different EEG signal characteristics Covers the detail classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from EEG data of a subject Reviews design and development a low cost and robust EEG acquisition system Provides mathematical analysis of EEG including MATLAB codes for students to experiment with EEG data

This book provides an understanding of what is required to engineer and manufacture drug products. It bridges established concepts and provides for a new outlook by concentrating and creating new linkages in the implementation of manufacturing, quality assurance, and business practices related to drug manufacturing and healthcare products. This book fills a gap by providing a connection between drug production and regulated applications. It focuses on drug manufacturing, quality techniques in oral solid dosage, and capsule filling including equipment and critical systems, to control production and the finished products. The book offers a correlation between design strategies and a step-by-step process to ensure the reliability, safety, and efficacy of healthcare products. Fundamentals of techniques, quality by design, risk assessment, and management are covered along with a scientific method approach to continuous improvement in the usage of computerized manufacturing and dependence on information technology and control operations through data and metrics. Manufacturing and Quality Assurance of Oral Pharmaceutical Products: Processing and Safe Handling of Active Pharmaceutical Ingredients (API) is of interest to professionals and engineers in the fields of manufacturing engineering, quality assurance, reliability, business management, process, and continuous improvement, life cycle management, healthcare products manufacturing, pharmaceutical processing, and computerized manufacturing.

1) Introduces a concept with wide ranging applications throughout engineering, from design to business, with case studies as practical examples 2) Provides applications to emerging technologies such as mobile app development and provides online tools to aid readers in practicing Design Thinking 3) Relates Design thinking to artificial intelligence, devops and machine learning 4) Aids students and professionals in gaining experience to prepare for a job in various industries 5) Applies Design Thinking to multiple hot topics such as sustainability

The consumer packaged goods (CPG) industry is dominated by major Western brands. The dominance of such major brands extends to burgeoning Asian markets. These conglomerates often rely on packaging as a strategic tool to entice Asian consumers. This book illustrates how packaging as a marketing tool is more than simply changing the label or translating the brand into vernacular language. It examines how different packaging elements (e.g. information, imagery, packaging type) can help to communicate product values to Asian consumers. Drawing upon rich knowledge of the Asian CPG markets with extensive findings from fieldworks in the key Asian markets, this book explains how Western brands are localising their packaging design in Asian markets. It provides invaluable insight into how major Western CPG brands have relied heavily on their packaging strategies to compete not only against domestic brands but also against other foreign brands. The book includes in-depth interviews with brand managers of several major Western CPG brands and retailers, and sheds light on emerging trends of CPG packaging in Asia.

Applied Attention Theory, Second Edition provides details concerning the relevance of all aspects of attention to the world beyond the laboratory. Topic application areas include the design of warning systems to capture attention; attention distractions in the workplace; failures of dividing attention while driving; and the measurement of mental workload while flying. This new edition discusses the implications of VR and AR for human attention. It also covers the treatment of attention-based pedagogical methods used to enhance learning and presents attentional issues in interacting with automation and AI. New chapters include applications of attention to healthcare, education pedagogy, highway safety, and human interaction with autonomous vehicles and other AI systems. The readership for this book is the professional, the researcher, and the student.

Human error plays a significant role in many accidents involving safety-critical systems, and it is now a standard requirement in both the US and Europe for Human Factors (HF) to be taken into account in system design and safety assessment. This book will be an essential guide for anyone who uses HF in their everyday work, providing them with consistent and ready-to-use procedures and methods that can be applied to real-life problems. The first part of the book looks at the theoretical framework, methods and techniques that the engineer or safety analyst needs to use when working on a HF-related project. The second part presents four case studies that show the reader how the above framework and guidelines work in practice. The case studies are based on real-life projects carried out by the author for a major European railway system, and in collaboration with international companies such as the International Civil Aviation Organisation, Volvo, Daimler-Chrysler and FIAT.

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.

This book is an implementation guide for creating a Lean Culture from the ground up while gaining buy-in from key stakeholders and being able to sustain the results. Everyone talks about implementing a Lean Culture, but only provides Lean Tools for the implementation. This book discusses implementing the entire system from three main aspects. It covers the people (structural and cultural), the operation system, and the tools. Also included is a full set of case studies to show real-life implementations as well. FEATURES: Discusses Leader Standard work for all employees Covers the escalation process for tiers and daily accountability Shows how to deal with a change of SOP's and standardization within an organization Presents exercises for Lean Tools Implementation Offers real-life case studies of implementing a Lean Culture while sustaining it Building a Sustainable Lean Culture: An Implementation Guide discusses Lean Leadership from a managerial standpoint and ensures the Lean journey succeeds through accountability, standardized work, and technological advances utilizing Lean Systems. Useful in manufacturing, services, IT, and healthcare, this book includes the implementation of empowering employees to want to build a Lean Culture.

- the author is in the BIMA Hall of Fame and is Chief Technology & Innovation Officer at Ernst & Young - the book explains the current state of AI and how it is governed, as well as detailing five potential futures involving AI and providing a clear Roadmap to manage the future of AI - easy and fun to read

Structured with a practical approach, Engineering Capstone Design guides engineering students to successfully manage capstone design projects. The book addresses the challenge of open-ended design projects, often in a team-based format, discussing team member roles, communication, and cooperation. It incorporates accreditation requirements and provides a modern framework for working with industry, reinforced by the inclusion of case studies. Offers a structured process for capstone design, responsive to ABET accreditation requirements Explains how to manage design projects under critical timelines and budgets Covers essential topics and steps in a capstone design sequence, including defining, conceiving, presenting, prototyping, building, testing, and redesigning Considers industry perspectives, as well as design competitions Includes case studies for a look into industry experience In addition to guiding engineering students conducting capstone design projects, this book will also interest industry professionals who are engaged in product development or design problem-solving.

Most approaches that contribute to the design of life-critical systems almost only consider nominal situations where procedures can be developed and used to achieve satisfactory operations. These kinds of approaches lead to rigid ways of doing things and poorly address the needs for flexibility, especially when things go wrong. It is not a matter of human adaptation but of human systems integration (HSI) flexibility. HSI flexibility requires cross-fertilization of appropriate experiences combined with creativity. This book provides risk-management approaches and methods for combining prevention and design. Features: Discusses risk-management approaches and methods for combining prevention and design Examines a transdisciplinary approach to risk management in design and operations of safer life-critical systems Proposes an approach of work analysis during design, which enables design teams to consider HSI issues early enough to fix organizational problems upstream Teaches the combination of prevention and design for safety management This book gathers and analyzes relevant field data to rationalize human and systems activity in various life-critical environments and workplaces, in a systemic manner, and in a variety of safety domains (e.g., aviation, road, navy, manufacturing, hospital, transportation, defense, sport). It further formalizes and analyzes risk-taking experience, expertise, stories about critical events, and scientific and professional literature data to help engineering designers, managers, and health and safety specialists. The text is primarily written for graduate students and professionals working in the fields of occupational health and safety, ergonomics, human factors, cognitive engineering, and human-system integration.

Address brain and cognitive intelligence based control Combine neuroscience with robotics control Combine biomechanics with robotics control Provide applications used in such as human-robot interaction

The book addresses a clear gap in the current literature and comes at a very topical time The five high-level themes provide a highly suitable and multidisciplinary nature and focus; The chapter topics cover a broad and appealing range

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.

Understanding Interaction explores the interaction between people and technology in the broader context of the relations between the human-made and the natural environments. It is not just about digital technologies - our computers, smartphones, the Internet - but all our technologies, such as mechanical, electrical, and electronic. Our ancestors started creating mechanical tools and shaping their environments millions of years ago, developing cultures and languages, which in turn influenced our evolution. Volume 1 looks into this deep history, starting from the tool-creating period (the longest and most influential on our physical and mental capacities) to the settlement period (agriculture, domestication, villages and cities, written language), the industrial period (science, engineering, reformation, and renaissance), and finally the communication period (mass media, digital technologies, and global networks). Volume 2 looks into humans in interaction - our physiology, anatomy, neurology, psychology, how we experience and influence the world, and how we (think we) think. From this transdisciplinary understanding, design approaches and frameworks are presented to potentially guide future developments and innovations. The aim of the book is to be a guide and inspiration for designers, artists, engineers, psychologists, media producers, social scientists, etc., and, as such, be useful for both novices and more experienced practitioners. Image Credit: Still of interactive video pattern created with a range of motion sensors in the Facets kaleidoscopic algorithm (based underwater footage of seaweed movement) by the author on 4 February 2010, for a lecture at Hyperbody at the Faculty of Architecture, TU Delft, NL.

This volume of the Handbook of Usability and User Experience (UX) presents research and case studies used to design products, systems and environments with good usability and consequent acceptance, pleasure in use, good user experience, and understanding of human interaction issues with products and systems for their improvement. The book presents concepts and perspectives of UX; it also discusses methods and tools that use requirements analysis activity elicitation, recording, and analysis to guarantee a good user experience. In addition, it introduces usability and UX in the automotive industry, usability and UX in a digital interface, game design and digital media, usability and UX in fashion design, and some case studies on usability and UX in various contexts in product design. We hope that this second volume will be helpful to a larger number of professionals, students and practitioners who strive to incorporate usability and UX principles and knowledge in a variety of applications. We trust that the knowledge presented in this volume will ultimately lead to an increased appreciation of the benefits of usability and incorporate the principles of usability and UX knowledge to improve the quality, effectiveness, and efficiency of everyday consumer products, systems, and environments.

- Unlike other AI titles, this book takes a step further towards the real applicability and transferability of AI, through detailed examples in a very important region of Spain - Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry and tourism - Great diversity of authors, expert in the varied sectors and problems addressed, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucia TECH Campus

Foreign Object Debris and Damage in Aviation discusses both biological and non-biological Foreign Object Debris (FOD) and associated Foreign Object Damage (FOD) in aviation. The book provides a comprehensive treatment of the wide spectrum of FOD with numerous cost, management, and wildlife considerations. Management control for the debris begins at the aircraft design phase, and the book includes numerical analyses for estimating damage caused by strikes. The book explores aircraft operation in adverse weather conditions and inanimate FOD management programs for airports, airlines, airframe, and engine manufacturers. It focuses on the sources of FOD, the categories of damage caused by FOD, and both the direct and indirect costs caused by FOD. In addition, the book provides management plans for wildlife, including positive and passive methods. The book will interest aviation industry personnel, aircraft transport and ground operators, aircraft pilots, and aerospace or aviation engineers. Readers will learn to manage FOD to guarantee air traffic safety with minimum costs to airlines and airports.

This book explores how the circular economy influences product design in today's business and society. Drawing on contributions from a wide range of expert thinkers, this volume assesses the existing approaches, strategies and tools which facilitate socially and environmentally responsible production and consumption systems. It then goes on to highlight the ways in which the circular economy conceptual framework could be implemented effectively at both micro (product policy) and macro (sustainable consumption) levels in order to alter the industrial landscape and increase its interconnectedness with materials and scarce resources. Highlighting the pros and cons of transitioning to this new model, the book also cautions that it will only be made possible via significant behavior change at both industry and consumer levels. Sustainable Products in the Circular Economy will be of great interest to students and scholars of sustainable manufacturing, sustainable consumption, corporate social responsibility and business ethics. It will also be relevant to industry professionals whose work dovetails with these areas.

< p="" style=""> This highly informative and carefully presented book focuses on the fields of ergonomics/human factors and discusses the future of the community vis-a-vis health problems, productivity, aging, etc. Ergonomic intercession must be seen in light of its effect on productivity because ergonomic solutions will improve productivity as the reduction of environmental stressors, awkward postures and efforts lead to a reduction in task execution time. The book provides promising evidence that the field of ergonomics continues to thrive and develop deeper insights into how work environments, products and systems can be developed to meet needs, demands and limitations of humans and how they can support productivity improvements. Some of the themes covered are anthropometry and workplace design, biomechanics and modelling in ergonomics, cognitive and environmental ergonomics, ergonomic intervention and productivity, ergonomics in transport, mining, agriculture and forestry, health systems, work physiology and sports ergonomics, etc. This book is beneficial to academicians, policymakers and the industry alike. ^