Principles of Risk Analysis

Principles of Risk Analysis PDF

Author: Charles Yoe

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 576

ISBN-13: 1439857504

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In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i

Handbook on Decision Making

Handbook on Decision Making PDF

Author: Jie Lu

Publisher: Springer Science & Business Media

Published: 2012-03-15

Total Pages: 457

ISBN-13: 3642257550

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This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

Advances in Decision Making Under Risk and Uncertainty

Advances in Decision Making Under Risk and Uncertainty PDF

Author: Mohammed Abdellaoui

Publisher: Springer Science & Business Media

Published: 2008-08-29

Total Pages: 245

ISBN-13: 3540684360

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Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.

Science and Decisions

Science and Decisions PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2009-03-24

Total Pages: 422

ISBN-13: 0309120462

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Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.

Completing the Forecast

Completing the Forecast PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2006-10-09

Total Pages: 124

ISBN-13: 0309180538

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Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.

Decision-Making in High Risk Organizations Under Stress Conditions

Decision-Making in High Risk Organizations Under Stress Conditions PDF

Author: Anthony J. Spurgin

Publisher: CRC Press

Published: 2016-08-19

Total Pages: 191

ISBN-13: 1498721230

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This book discusses management decision-making under accident conditions as a vehicle to confirm the importance of clear decision-making guided by a systems approach on how an organization functions related to the role of managers, operators, and the operation of the plant. The book shows how to effectively assess the reliability of an organization particularly those organizations responsible for critical infrastructure. The authors have used Stafford Beer’s cybernetic model as a basis to model the behavior and reliability of such organizations. A series of case studies are used to draw conclusions not only how training, experience, and education can improve the strategy and response of management to reduce the probability of an economic or social disaster, but also draw attention to the fact that managers need to be made aware of the consequences of their decisions. Poor management decisions made under stress conditions can lead to the collapse of an organization together with its underlying business, possibly linked to a social disaster with loss of life. Some technology-ignorant management decisions even under non-stress conditions can lead to dangerous situations, which can increase the economic burden placed on an organization. This book describes such situations in order to promote improvement in organizational preparedness by training, experience, and education to reduce safety and economic risks. This book offers: • Case studies of accidents that have affected different HROs (high-risk organizations) and others, due to poor decision-making by management • Training methods (advocated by Admiral Hyman Rickover, adopted by military bodies and others) to prepare staff to make critical decisions under difficult conditions and examine their applicability to training managers of high-risk facilities • Documentation on how making decisions in difficult situations have psychological constraints related to the degree of preparedness and the tools available to aid the decision maker(s) • Studies on the key actions taken before, during, and after accidents and how these management decisions can affect accident propagation, and how one could improve management decision-making by the use of training in decision-making and an understanding of Ross Ashby’s Law of Requisite Variety. • Simulation techniques to improve training of front-line operators and management • Consideration of cost and investment evaluations and how they can distort the selection of tactics and measures that ensure successful operations and avoidance of accidents

Principles of Risk-Based Decision Making

Principles of Risk-Based Decision Making PDF

Author: In c. ABS Consulting

Publisher: Government Institutes

Published: 2002-02

Total Pages: 225

ISBN-13: 0865879087

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Principles of Risk-Based Decision Making provides managers with the foundation for creating a proactive organizational culture that systematically incorporates risk into key decision-making processes. Based on methodology adopted by a number of organizations including the federal government, this book examines risk-based decision making as a process for organizing information about the possibility for unwanted outcomes in a simple, practical way that helps decision makers make timely, informed management choices that minimize harmful effects on safety and health, the environment, property loss, or mission success. Citing practical examples, charts, and checklists, the authors break the risk-based decision making process into five key components: establishing the decision structure, performing the risk assessment, managing sufficient risks, monitoring effectiveness of adopted risk controls through impact assessment, and facilitating risk communication. They examine each component in detail and outline available decision analysis and risk assessment tools that aid in each of these risk-based decision making functions. This book also walks readers through eight project management steps—from scoping a risk assessment to evaluating the recommendations—the components of each, and the importance of these steps to the success of a risk assessment. Special features include a table for applying the risk-based decision-making process, a hazard identification guidesheet, an example of human error, an acronym list, and a glossary.