Guidebook For Supporting Decision Making Under Uncertainties
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Guidebook For Supporting Decision Making Under Uncertainties
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Author : Ettore Piccirillo
language : en
Publisher: World Scientific
Release Date : 2008
Guidebook For Supporting Decision Making Under Uncertainties written by Ettore Piccirillo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
This book provides much-needed guidance in making sound business decisions for the business leader or decision maker, especially investment appraisal practitioners such as strategic planners, business analysts, financial partners, and supply chain experts. By OC supply chainOCO, the authors mean the network of retailers, distributors, transporters, storage facilities and suppliers that participate in the sale, delivery and production of a particular product. The book begins with an introduction to the concept of decision making under uncertainty and the forces driving the business. A gap in the current knowledge is then discovered as it arises from an analysis of the profitability indicators that are currently being used. With hands-on experience in decision making within the supply chain environment, and coupled with leading-edge mathematical and business formulations, the authors propose how to enrich quantitative and qualitative decision-making measures. This further leads to a decision-making framework and process, supported by a ready-to-use tool (PADOVA). Sample Chapter(s). Chapter 1: Decision Under Uncertainty (163 KB). Contents: Decision Under Uncertainty; Critical Review of Accounting Performance Measures; Critical Review of Strategic Criteria; A Way Forward: Quantitative Decision Making Measures; A Way Forward: Qualitative Decision Making Measures; The Framework. Readership: Investment appraisal practitioners such as strategic planners, business analysts, financial partners, and supply chain experts alike; graduate-level students in business administration or operations management."
Uncertainty Deconstructed
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Author : Bruce Garvey
language : en
Publisher: Springer Nature
Release Date : 2022-08-26
Uncertainty Deconstructed written by Bruce Garvey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-26 with Business & Economics categories.
This book argues that uncertainty is not really uncertainty at all but just demonstrates a lack of vision and willingness to think about the unthinkable – good and bad. The task of accepting that uncertainty is about exploring the possible, rather than the impossible has to be taken on board by strategists, policy developers, and political leaders, if we are to meet the challenges that an ever changing world is throwing at us. The term “unknown – unknowns” is ubiquitous, albeit the vast majority of future uncertain events do not fall into this category. However, it has been used to absolve decision makers from criticism post-event, whereas poor foresight is the prime culprit and that most future uncertainties are “known-unknowns” or “inevitable surprises”. This re-positioning of uncertainties can help mitigate the impact of such risks through better foresight aware contingency planning. The enemy is not uncertainty itself but our lack of imagination when trying to visualize the future – we need to transform our behaviour. To better understand uncertainty we have to deconstruct it and get to grips with its component parts. Three main questions are posed and practical approaches presented: What are the main structural components that make up the conditions under which uncertainty operates? What scenario lenses can be used when exploring uncertainty? What behavioural factors do we need to consider when analysing the human responses to uncertainty? Practitioners, having to deal with making better decisions under uncertainty, will find the book a useful guide. Endorsements for the book: "With this book, Bruce Garvey performs a great service for consultants, planners and, indeed, anyone whose job involves a degree of speculation about what will happen in the future. Through a comprehensive survey of methods, tools and techniques, he provides a practical guide to unpacking the uncertainty that besets all human endeavour. This is no dry academic treatise: it deals with highly contemporary topics such as “fake news” – part of a fascinating dissection of “dark data” – and how our biases and preconceptions shape our views. The book finishes with three case studies dealing with the Covid-19 pandemic, social mobility and inequality, and achieving net zero – all topics that are sorely in need of the critical thinking and analysis skills described previously. No one can completely eliminate “20:20 hindsight” from all business decisions but readers applying the lessons of this book may find themselves saying “if only we’d known...” less frequently." -- Nick Bush, Director - CMCE (Centre for Management Consulting Excellence) "Academic literature and practical guides to uncertainty management are disparate: this exciting edition brings it all together. Principal author, Bruce Garvey, recognises the erroneous attribution of many recent events to unforeseeable uncertainty (‘unknown unknowns’), calling these out as inevitable surprises (or ‘unknown knowns’), a category of uncertainty that is typically overlooked. Garvey describes critical dimensions of uncertainty, before examining scenarios and behavioural aspects, the latter being a ‘hidden influencer’ which is too often neglected. The guidebook contains a variety of methods, tools and techniques, including several that deserve more use, and contains a detailed glossary and reference list. Practical advice covers topics such as identifying weak signals for use in scenario development and overcoming cognitive dissonance. This well-structured and engagingly written guide should serve as a standard text for students, academics and practitioners across policy making, business, and industry." -- Dr. Geoff Darch, Water Resources Strategy Manager, Anglian Water. Co-Founder, Analysis under Uncertainty for Decision-Makers (AU4DM) Network "This is a valuable companion volume to John Kay and Mervyn King's Radical Uncertainty - and it is a necessary corrective to the physics envy of disciplines such as economics which achieve a false sense of certainty by creating highly plausible but unreliable simplifications of things through over generalisation - leading to simplistic proposals for interventions which can only rightly be judged through a lens of complexity and probability. I would like to be more optimistic about the ultimate effects of books of this kind - and in some fields, perhaps in military decision-making and defence I am quite optimistic. In such fields, people tend to approach decision-making through the assumption that things will go wrong, and that the effects of any mistakes will be very keenly, perhaps fatally experienced. In business and softer social policy-making, I fear the battle will be much harder. In such fields as politics and business, it is often better for the reputation "as Keynes remarked, "to fail conventionally than to succeed unconventionally." In such fields, it is more important to make defensible decisions than to make good decisions, so an artificial sense of logical certainty will perhaps always hold an unhealthy appeal. But here's hoping anyway!" -- Rory Sutherland, Vice Chairman, Ogilvy Group "Here is a most insightful book, which holistically examines the ‘world of uncertainty', particularly as it impacts sense- to decision-making processes for many different stakeholders. Both scholars and practitioners, strategists to operators, soon gain from reading. Journeying from theory to practice, we embark on a comprehensive definition of uncertainty to subsequently become better equipped for its greater contemporary navigation when going forward, all elucidated by several well-structured scenarios and case-study examples. How uncertainty relates to risk (both qualitative and quantitative) is systematically charted, articulating their close interactivity. Forming a successful guide, this book has much enduring reference value and is therefore deserving of being readily retrievable as events and developments benefit from their improved understanding. Uncertainty can demonstrably be negotiated much more effectively. Alternative situations and conditions of denial, lamented as ‘we should have (fore)seen that’, no longer stand as acceptable when it comes to anticipating futures ahead. With this book, further help is now at hand." -- Adam D.M. Svendsen, PhD, International Intelligence & Defence Strategist, Researcher, Analyst, Educator & Consultant
Decision Making Under Deep Uncertainty
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Author : Vincent A. W. J. Marchau
language : en
Publisher: Springer
Release Date : 2019-04-04
Decision Making Under Deep Uncertainty written by Vincent A. W. J. Marchau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-04 with Business & Economics categories.
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Decision Making Under Uncertainty
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Author : Mykel J. Kochenderfer
language : en
Publisher: MIT Press
Release Date : 2015-07-24
Decision Making Under Uncertainty written by Mykel J. Kochenderfer and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-24 with Computers categories.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Handbook Of Decision Making
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Author : Paul C. Nutt
language : en
Publisher: John Wiley & Sons
Release Date : 2010-09-07
Handbook Of Decision Making written by Paul C. Nutt and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-07 with Business & Economics categories.
HANDBOOK OF DECISION MAKING This handbook offers a state-of-the-art overview of research and theories on decision making in organizations at the strategic level of analysis. Chapters are authored by leading international scholars, with some illustrative case vignettes from practitioners. Each contributor was selected for his/her special knowledge of the field. The Handbook addresses key questions confronting the decision making research of the past and the present, offers critiques, and suggests future research directions. Topics covered emphasize the classic decision theory perspectives while also incorporating recent insights from the fields of strategic choice, risk & uncertainty, scenario planning and complexity theory, with a broad social science perspective on the disciplinary roots of decision theory in economics, politics, and social theory. This is a landmark reference volume for the field, offering scholars and practitioners: Comprehensive, but accessible, coverage of classic and recent developments Chapters by established international experts Case analyses illustrating practical consequences of theories Guide to new research directions and theory
Decision Making Under Deep Uncertainty
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Author : Steven W Popper
language : en
Publisher:
Release Date : 2020-10-09
Decision Making Under Deep Uncertainty written by Steven W Popper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Business & Economics categories.
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.; Offers a comprehensive examination of the approaches and tools for designing plans under deep uncertainty and their application Identifies barriers and enablers for the use of the various approaches and tools in practice Includes realistic examples and practical guidelines to help readers better understand the concepts This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Handbook On Decision Making
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Author : Jie Lu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-15
Handbook On Decision Making written by Jie Lu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-15 with Technology & Engineering categories.
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.
Handbook On Decision Making
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Author : Chee Peng Lim
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-07
Handbook On Decision Making written by Chee Peng Lim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-07 with Technology & Engineering categories.
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
Environmental Public Policy Making Exposed
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Author : Cynthia H. Stahl
language : en
Publisher: Springer Nature
Release Date : 2019-11-16
Environmental Public Policy Making Exposed written by Cynthia H. Stahl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-16 with Law categories.
This book exposes the barriers to inclusive and effective public policy making, which are the current decision making paradigm and commonly held ideas that reduce public policy problems to scientific and technical ones. Through both environmental policy and other decision making examples, readers are shown the commonalities of all decision making. Solution-oriented practitioners and stakeholders will find this book filling a conceptual and methodological gap in existing policy literature and practice. The authors deftly guide readers from post-normal science, wicked problems, and uncertainty concepts to a conceptually-grounded, practical implementation of a new approach, the open solution approach. The Multi-criteria Integrated Resource Assessment (MIRA) is described as the first generation methodology that fulfills the expectations for the inclusive, transparent, and learning-based open solutions approach. MIRA is a holistic package of concepts, methods and analytical tools that is designed to assess Decision Uncertainty, the combined uncertainties that include data, problem formulation, expert judgments, and stakeholder opinions. Introduction of the Requisite Steps, the common steps found in all decision making, provides the yardstick for evaluating a variety of decision making processes, decision tools, and commonly found indices such as the Dow Jones Industrial Average or the Newsweek Green Ranking of corporations. The use of anecdotes, policy stories, and case examples makes this a very readable and practical book for citizens and experts. With this book, readers are prepared to critically evaluate these common indices for their personal use as well as challenge policy processes as a stakeholder. For policy practitioners, this guidebook will become a rubric to ensure an effective public policy making process and to critically evaluate decision support tools.
Handbook Of Decision Analysis
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Author : Gregory S. Parnell
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-24
Handbook Of Decision Analysis written by Gregory S. Parnell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Business & Economics categories.
A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.