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Author: Akio Torii
Publisher: Springer Nature
ISBN: 9819730562
Category :
Languages : en
Pages : 113
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Book Description
Author: Akio Torii
Publisher: Springer Nature
ISBN: 9819730562
Category :
Languages : en
Pages : 113
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Book Description
Author: Amarjit Singh
Publisher: ASCE Press
ISBN: 9780784414637
Category : Construction industry
Languages : en
Pages : 0
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Book Description
Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.
Author: Franck Marle
Publisher: Springer
ISBN: 1447167872
Category : Technology & Engineering
Languages : en
Pages : 283
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Book Description
Maximizing reader insights into project management and handling complexity-driven risks, this book explores propagation effects, non-linear consequences, loops, and the emergence of positive properties that may occur over the course of a project. This book presents an introduction to project management and analysis of traditional project management approaches and their limits regarding complexity. It also includes overviews of recent research works about project complexity modelling and management as well as project complexity-driven issues. Moreover, the authors propose their own new approaches, new methodologies and new tools which may be used by project managers and/or researchers and/or students in the management of their projects. These new elements include project complexity definitions and frameworks, multi-criteria approaches for project complexity measurement, advanced methodologies for project management (propagation studies to anticipate potential behaviour of the project, and clustering approaches to improve coordination between project actors) and industrial case studies (automotive industry, civil engineering, railroad industry, performing arts,...) and exercises (with their solutions) which will allow readers to improve and strengthen their knowledge and skills in the management of complex and (thus) risky projects.
Author: Hugo Priemus
Publisher: Edward Elgar Publishing
ISBN: 1848440170
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
It will be useful for those experienced and senior professionals who are charged with authorizing and controlling projects. Recommended. P.F. Rad, Choice Building on the seminal work of Bent Flyvbjerg, this book is a collection of expert contributions that will prove essential to anyone wanting to understand why mega-projects go wrong and how they can be made to work better. Professor Sir Peter Hall, University College London, UK This book offers a refreshing and fascinating look at mega-projects from the perspective of public evaluation and planning. With the changing role of the public sector in planning and implementing large-scale projects and a subsequent strong emergence of private public modes of operation, mega-projects have become a problematic phenomenon. This volume is a major source of information and reference. It provides the reader with unique insights and caveats in mega-projects planning. Peter Nijkamp, VU University Amsterdam, The Netherlands This book enlarges the understanding of decision-making on mega-projects and suggest recommendations for a more effective, efficient and democratic approach. Authors from different scientific disciplines address various aspects of the decision-making process, such as management characteristics and cost benefit analysis, planning and innovation and competition and institutions. The subject matter is highly diverse, but certain questions remain at the forefront. For example, how do we deal with protracted preparation processes, how do we tackle risks and uncertainties, and how can we best divide the risks and responsibilities among the private and public players throughout the different phases of the project? Presenting a state-of-the-art overview, based on experiences and visions of authors from Europe and North America, this unique book will be of interest to practitioners of large-scale project management, politicians, public officials and private organisations involved in mega-project decision-making. It will also appeal to researchers, consultants and students dealing with substantial engineering projects, complex systems, project management and transport infrastructure.
Author:
Publisher: Stanford University Press
ISBN: 0804765073
Category : Political Science
Languages : en
Pages : 540
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Book Description
Risks are an integral part of complex, high-stakes decisions, and decisionmakers are faced with the unavoidable tasks of assessing risks and forming risk preferences. This is true for all decision domains, including financial, environmental, and foreign policy domains, among others. How well decisionmakers deal with risk affects, to a considerable extent, the quality of their decisions. This book provides the most comprehensive analysis available of the elements that influence risk judgments and preferences. The book has two dimensions: theoretical and comparative-historical. The study of risk-taking behavior has been dominated by the rational choice approach. Instead, the author adopts a socio-cognitive approach involving: a multivariate theory integrating contextual, cognitive, motivational, and personality factors that affect an individual decisionmaker's judgment and preferences; the social interaction and structural effects of the decisionmaking group and its organizational setting; and the role of cultural-societal values and norms that sanction or discourage risk taking behavior. The book's theoretical approach is applied and tested in five historical case studies of foreign military interventions. The richly detailed empirical data on the case studies make them, metaphorically speaking, an ideal laboratory for applying a process-tracing approach in studying judgment and decision processes at varying risk levels. The case studies analyzed are: U.S. interventions in Grenada in 1983 and Panama in 1989 (both low risk); Soviet intervention in Czechoslovakia in 1968 (moderate risk): U.S. intervention in Vietnam in 1964-68 (high risk); and Israel's intervention in Lebanon in 1982-83 (high risk).
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309120462
Category : Political Science
Languages : en
Pages : 422
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Book Description
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.
Author: United States. General Accounting Office. Accounting and Information Management Division
Publisher:
ISBN:
Category : Capital investments
Languages : en
Pages : 84
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Book Description
Author: Jie Lu
Publisher: Springer Science & Business Media
ISBN: 3642257550
Category : Technology & Engineering
Languages : en
Pages : 457
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Book Description
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.
Author: John R. Schuyler
Publisher: Createspace Independent Publishing Platform
ISBN: 9781719014236
Category :
Languages : en
Pages : 518
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Book Description
Decision analysis (DA) guides executives toward logical, consistent decisions under uncertainty. This book instructs readers in applying DA to feasibility analysis, project estimation, and project risk management.This is a wholly rewritten and expanded successor to the best-selling first and second editions.The entire investment lifecycle is covered, from conception, to the project plan, to the post-project review, and to a look-back analysis of the capital investment decision.DA applies to all manner of project management (PM) decisions for individuals, government, and non-profit organizations. The book uses a business investment perspective and assumes that maximizing value for the project owner is the objective.DA is a problem-solving process. There are four key features: 1) probabilities and probability distributions express best judgments about risks and uncertainties. 2) The organization has a decision policy expressed as a single metric (the objective function). 3) Probabilities and outcome values combine in the probability-weighting expected value calculation. 4) The organization as a policy to choose the best expected value alternative.This book aims to make decision making clear, simple, and logical. A clear decision policy can be elusive, and the author offers suggestions for making trade-offs among conflicting objectives. Converting the three pillars of project management (cost, schedule, and performance) into project value equivalents makes the trade-offs clear.This book is intended for serious PM students and practitioners. This is an essential concepts and how-to book. The scope is quantitative analysis, from project inception to post-project review. Project cost and schedule modeling, in modest detail, is essential to feasibility analysis and risk management. A general background in PM and corporate planning will be helpful. The methods are quantitative and straightforward. The reader should be comfortable with basic algebra and Microsoft(r) Excel(r).The book has eight pages of Suggested Reading annotated references (plus footnote additions), over 250 figures, approximately 600 Glossary definitions, and over 2400 Index entries. Online supplements include several whitepapers and other documents, example calculation spreadsheets, detailed color images of several important figures, four videos (including a critical chain simulation), and the Utility Elicitation Program (a web app, free for most users).Key topics include: Decision trees and Monte Carlo simulation for calculating outcome distributions and expected values * Probability concepts, including Bayes' rule for value of information analysis * Popular probability distribution types and when they apply * Eliciting expert judgments, with attention to potential cognitive and motivational biases * Recognizing the three pillars project in terms of project value * A 10-step decision analysis process * Project modeling concepts and techniques, with special attention to risk drivers and other correlations * Deterministic and stochastic sensitivity analysis * Decision policy that distinguishes objectives, time value, and risk attitude * @RISK(r) with Microsoft(r) Project for project simulations under uncertainty * Logical, consistent risk policy expressed as a utility function * Merge bias when task chains converge at a merge point * Tail estimate bias when estimating highly uncertain quantities * Optimizer's curse, a portfolio forecasting bias * Winner's curse, a bias characteristic of auctions * Using the best of critical chain and Monte Carlo simulation * Stochastic variance between a deterministic and a stochastic model * Modeling risk and uncertainty using probabilities, probability distributions, explicit formula relationships, correlation coefficients, risk drivers, conditional branching, and rework cycles.
Author: Terje Aven
Publisher: John Wiley & Sons
ISBN: 0470871237
Category : Mathematics
Languages : en
Pages : 208
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Book Description
Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyse, communicate and control the level of risk entailed by these decisions remains one of the most pressing challenges to the analyst, scientist and manager. This book presents the foundational issues in risk analysis ? expressing risk, understanding what risk means, building risk models, addressing uncertainty, and applying probability models to real problems. The principal aim of the book is to give the reader the knowledge and basic thinking they require to approach risk and uncertainty to support decision making. Presents a statistical framework for dealing with risk and uncertainty. Includes detailed coverage of building and applying risk models and methods. Offers new perspectives on risk, risk assessment and the use of parametric probability models. Highlights a number of applications from business and industry. Adopts a conceptual approach based on elementary probability calculus and statistical theory. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.
