Global competition is forcing reliability and other professionals to work closely during the product design and manufacturing phase. Because of this collaboration, reliability, usability, and quality principles are being applied across many diverse sectors of the economy. This book offers the principles, methods, and procedures for these areas in one resource. This book brings together the areas of reliability, usability, and quality for those working in diverse areas to allow them to be exposed to activities that can help them perform their tasks more effectively. This is the only book that covers these areas together in this manner and written in such a way that no previous knowledge is required to understand it. The sources of the material presented are included in the reference section at the end of each chapter along with examples and solutions to test reader comprehension. Applied Reliability, Usability, and Quality for Engineers is useful to design, manufacturing, and systems engineers, as well as manufacturing managers, reliability, usability and, quality specialists. It can also be helpful to graduate, senior undergraduate students, and instructors.

Researchers studying decision making have traditionally studied the phenomenon in the laboratory, with hypothetical decisions that may or may not involve the decision maker's values, passions, or areas of expertise. The assumption is that the findings of these well-controlled laboratory studies will shed light on the important decisions people make in their everyday lives. This book examines that assumption.
The volume begins by covering four basic phases of decision making: setting or clarifying goals, gathering information, structuring the decision, and making a final choice. Comprehensive reviews of existing literature on each of these topics is provided. Next, the author examines differences in decision making as a function of several factors not typically discussed in the literature: the type of decision being made (e.g., legal, medical, moral) and the existence of individual differences in the decision maker (developmental differences, individual differences in style or temperament, differences as a function of expertise). The author then examines the topic of group decision making, contrasting it with individual decision making. The volume concludes with some observations and suggestions for improving peoples' everyday decision making.
This book is intended for use as a core textbook or supplement for courses in psychology, education, or allied disciplines. It will also be an invaluable resource for people who work with people making decisions in various applied settings, such as schools, universities, and health care centers.

Researchers studying decision making have traditionally studied the phenomenon in the laboratory, with hypothetical decisions that may or may not involve the decision maker's values, passions, or areas of expertise. The assumption is that the findings of these well-controlled laboratory studies will shed light on the important decisions people make in their everyday lives. This book examines that assumption.
The volume begins by covering four basic phases of decision making: setting or clarifying goals, gathering information, structuring the decision, and making a final choice. Comprehensive reviews of existing literature on each of these topics is provided. Next, the author examines differences in decision making as a function of several factors not typically discussed in the literature: the type of decision being made (e.g., legal, medical, moral) and the existence of individual differences in the decision maker (developmental differences, individual differences in style or temperament, differences as a function of expertise). The author then examines the topic of group decision making, contrasting it with individual decision making. The volume concludes with some observations and suggestions for improving peoples' everyday decision making.
This book is intended for use as a core textbook or supplement for courses in psychology, education, or allied disciplines. It will also be an invaluable resource for people who work with people making decisions in various applied settings, such as schools, universities, and health care centers.

The book constitutes a valuable guide to the implementation of the CNS/ATM system towards ensuring safe, efficient and orderly evolution of international air transport. It uses a pragmatic approach in addressing the major legal, institutional, technical, political and economic aspects underlying the Global Navigation Satellite System, which is expected to play a fundamental role in aviation safety and air navigation world-wide. The book also examines, through well-reasoned analysis and research, the various controversial and relevant issues which will dominate the system in the years to come. The author demonstrates a profound grasp of the subject-matter through a sustained absorption of technical, institutional and legal principles applying to this complex subject. This is brought to bear in the coherent structure and logical organisation of the chapters which makes the book an invaluable tool for the aviation community, scholars and national and international regulatory authorities. It will also be immensely useful for practitioners who work towards further development and implementation of the CNS/ATM system. There has been no comparable work previously published.

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.

The goal of this book is to help business managers and academic researchers understand the means-end perspective and the methods by which it is used, and to demonstrate how to use the means-end approach to develop better marketing and advertising strategy. The authors discuss methodological issues regarding interviewing and coding, present applications of the means-end approach to marketing and advertising problems, and describe the conceptual foundations of the means-end approach.
This book is of interest to academic researchers in marketing and related fields, graduate students in business, marketing research professionals, and business managers. It is intended as a reference book containing ideas about the means-end approach and its applications.

Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.

The world is increasingly turbulent and complex, awash with disruptions, tipping points and knock-on effects exemplified by the implosion of financial markets and economies around the globe. This book is for business and organizational leaders who want and need to think through how best to deal with increasing turbulence, and with the complexity and uncertainty that come with it. The authors explain in clear language how future orientation and, specifically, modern scenario techniques help to address these conditions. They draw on examples from a wide variety of international settings and circumstances including large corporations, inter-governmental organizations, small firms and municipalities. Readers will be inspired to try out scenario approaches themselves to better address the turbulence that affects them and others with whom they work, live and do business. This second edition extends the use of scenarios planning and methods to tackle the risk and uncertainty of financial markets and the potentially massive impacts on businesses of all kinds, providing powerful tools to give far thinking executives an advantage in these turbulent times.

With the recent tightening of air quality standards as mandated by the U.S. EPA, has come great pressure on regulatory bodies at all levels of government, along with the industries and groups affected by these standards, to better assess the hazards and risks that result from air pollutants. Risk Assessment and Indoor Air Quality carefully ties together the tools and methodologies of Risk Assessment to the study of indoor air quality. This informative text takes a look at the problem of long-term exposure to low-level concentrations of toxins. In addition to commonly found toxins, such as chemical fumes from furnishings and carpeting, and indoor use of pesticides, this unique volume discusses risks associated with exposure to indoor allergens and infectious disease pathogens such as Legionnaires Disease. Because few scientific models exist for understanding the dynamics of indoor air quality, Risk Assessment and Indoor Air Quality is an essential resource for all students and professionals involved evaluating, testing and monitoring indoor air quality.

The Risk Management Handbook offers readers knowledge of current best practice and cutting-edge insights into new developments within risk management. Risk management is dynamic, with new risks continually being identified and risk techniques being adapted to new challenges. Drawing together leading voices from the major risk management application areas, such as political, supply chain, cybersecurity, ESG and climate change risk, this edited collection showcases best practice in each discipline and provides a comprehensive survey of the field as a whole. This second edition has been updated throughout to reflect the latest developments in the industry. It incorporates content on updated and new standards such as ISO 31000, MOR and ISO 14000. It also offers brand new chapters on ESG risk management, legal risk management, cyber risk management, climate change risk management and financial risk management. Whether you are a risk professional wanting to stay abreast of your field, a student seeking a broad and up-to-date introduction to risk, or a business leader wanting to get to grips with the risks that face your business, this book will provide expert guidance.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.

A framework for formalizing risk management thinking in today's complex business environment

Security Risk Management Body of Knowledge details the security risk management process in a format that can easily be applied by executive managers and security risk management practitioners. Integrating knowledge, competencies, methodologies, and applications, it demonstrates how to document and incorporate best-practice concepts from a range of complementary disciplines.

Developed to align with International Standards for Risk Management?such as ISO 31000?it enables professionals to apply security risk management (SRM) principles to specific areas of practice. Guidelines are provided for: Access Management; Business Continuity and Resilience; Command, Control, and Communications; Consequence Management and Business Continuity Management; Counter-Terrorism; Crime Prevention through Environmental Design; Crisis Management; Environmental Security; Events and Mass Gatherings; Executive Protection; Explosives and Bomb Threats; Home-Based Work; Human Rights and Security; Implementing Security Risk Management; Intellectual Property Protection; Intelligence Approach to SRM; Investigations and Root Cause Analysis; Maritime Security and Piracy; Mass Transport Security; Organizational Structure; Pandemics; Personal Protective Practices; Psych-ology of Security; Red Teaming and Scenario Modeling; Resilience and Critical Infrastructure Protection; Asset-, Function-, Project-, and Enterprise-Based Security Risk Assessment; Security Specifications and Postures; Security Training; Supply Chain Security; Transnational Security; and Travel Security.

Security Risk Management Body of Knowledge is supported by a series of training courses, DVD seminars, tools, and templates. This is an indispensable resource for risk and security professional, students, executive management, and line managers with security responsibilities.

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks that keep financial firms up at night. In this context effective operational risk management is, simply, a commercial necessity. The management of operational risk, defined by the Basel Accord as arising from failures of processes, people, systems or external events, has developed considerably since its early years. Continued regulatory focus and catastrophic industry events have led to operational risk becoming a crucial topic on senior management's agenda. This book is a practical guide for practitioners which focuses on how to establish effective solutions and avoid common pitfalls. Filled with frameworks, examples and diagrams, this book offers clear advice on key practices including conducting risk assessments, assessing change initiatives, designing key risk indicators, establishing scenario analysis, drafting appetite statements and carrying out risk reporting. Operational Risk Management in Financial Services also features results from polls taken by risk practitioners which provide a snapshot of current practices and allow the reader to benchmark themselves against other firms. This is the essential guide for professionals looking to derive value out of operational risk management, rather than applying a compliance 'tick box' approach.

Enterprise Risk Management: Advances on its Foundation and Practice relates the fundamental enterprise risk management (ERM) concepts and current generic risk assessment and management principles that have been influential in redefining the risk field over the last decade. It defines ERM with a particular focus on understanding the nexus between risk, uncertainty, knowledge and performance. The book argues that there is critical need for ERM concepts, principles and methods to adapt to the latest and most influential risk management developments, as there are several issues with outdated ERM theories and practices; problems include the inability to effectively and systematically balance both opportunity and downside performance, or relying too much on narrow probability-based perspectives for risk assessment and decision-making. It expands traditional loss-based risk principles into new and innovative performance-risk frameworks, and presents fundamental risk principles that have recently been developed by the Society for Risk Analysis (SRA). All relevant statistical and risk concepts are clearly explained and interpreted using minimal mathematical notation. The focus of the book is centered around ideas and principles, more than technicalities. The book is primarily intended for risk professionals, researchers and graduate students in the fields of engineering and business, and should also be of interest to executive managers and policy makers with some background in quantitative methods such as statistics.

Compliance has become key to our contemporary markets, societies, and modes of governance across a variety of public and private domains. While this has stimulated a rich body of empirical and practical expertise on compliance, thus far, there has been no comprehensive understanding of what compliance is or how it influences various fields and sectors. The academic knowledge of compliance has remained siloed along different disciplinary domains, regulatory and legal spheres, and mechanisms and interventions. This handbook bridges these divides to provide the first one-stop overview of what compliance is, how we can best study it, and the core mechanisms that shape it. Written by leading experts, chapters offer perspectives from across law, regulatory studies, management science, criminology, economics, sociology, and psychology. This volume is the definitive and comprehensive account of compliance.

This book arose out of a conference on "Epistemic Logic and the Theory of Games and Decisions" that took place in January 1994 at the Centre Inter- national de Recherches Mathematiques in Marseille. The convergence of game theory and epistemic logic has been in progress for two decades. The aim of the conference was to explore this rapprochement further by gathering spe- cialists from different professional communities, i. e. , economics, mathematics, philosophy, and computer science. Also, the organizors aimed at fostering the work centered on the issues of knowledge and belief that has recently been pursued amongst game theorists and decision theorists. The conference was funded by the following institutions: Centre National de la Recherche Sci- entifique (France), Ministere de l'Enseignement Superieur et de la Recherche (France), Association pour Ie Developpement de la Recherche en Economie et Statistique (France). It was also supported by the Human Capital and Mobility Programme of the EU, as well as, locally, by the Ville de Marseille. We would like to express our gratitude to these institutions for their generous help. Despite the success of the conference, it was not the editors' intention to circulate just another volume of proceedings in the usual style. Throughout the more than two-year editorial process, they have pursued the goal of providing a no doubt non-exhaustive, but hopefully thorough and accurate, state of the art account of a promising field of research.

Is your business playing it safe&#8212or taking the right risks? If you read nothing else on managing risk, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help your company make smart decisions and thrive, even when the future is unclear. This book will inspire you to: Avoid the most common errors in risk management Understand the three distinct categories of risk and tailor your risk-management processes accordingly Embrace uncertainty as a key element of breakthrough innovation Adopt best practices for mitigating political threats Upgrade your organization's forecasting capabilities to gain a competitive edge Detect and neutralize cyberattacks originating inside your company This collection of articles includes "Managing Risks: A New Framework," by Robert S. Kaplan and Anette Mikes; "How to Build Risk into Your Business Model," by Karan Girotra and Serguei Netessine; "The Six Mistakes Executives Make in Risk Management," by Nassim N. Taleb, Daniel G. Goldstein, and Mark W. Spitznagel; "From Superstorms to Factory Fires: Managing Unpredictable Supply-Chain Disruptions," by David Simchi-Levi, William Schmidt, and Yehua Wei; "Is It Real? Can We Win? Is It Worth Doing?: Managing Risk and Reward in an Innovation Portfolio," by George S. Day; "Superforecasting: How to Upgrade Your Company's Judgment," by Paul J. H. Schoemaker and Philip E. Tetlock; "Managing 21st-Century Political Risk," by Condoleezza Rice and Amy Zegart; "How to Scandal-Proof Your Company," by Paul Healy and George Serafeim; "Beating the Odds When You Launch a New Venture," by Clark Gilbert and Matthew Eyring; "The Danger from Within," by David M. Upton and Sadie Creese; and "Future-Proof Your Climate Strategy," by Joseph E. Aldy and Gianfranco Gianfrate.