Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty PDF Download
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Author: Yuri G. Raydugin
Publisher: Springer
ISBN: 9783031569876
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.
Author: Yuri G. Raydugin
Publisher: Springer
ISBN: 9783031569876
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project risk management (PRM), complexity theory, and decision-making under deep uncertainty (DMDU). Readers will appreciate that in practice, too often relevant complexity and uncertainty factors are either ignored or overlooked resulting in epic project failures. The author discusses a variety of methodologies and a decision-tree-type framework to determine why, when and how particular methodologies should be applied to ensure project success. These include nonlinear Monte Carlo techniques, a dynamic adaptive methodology to adapt to external environment changes, game theory for devising robust decision-making criteria, systems dynamics and cost escalation modelling, as well as risk-based & economic-based alternatives selection methodologies. This book will be an eye-opener for many PRM practitioners, helping to increase their chances of project success by properly handling inescapable project-complexity and deep-uncertainty implications in specific contexts.
Author: Yuri G. Raydugin
Publisher: Springer Nature
ISBN: 3031569881
Category :
Languages : en
Pages : 399
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Book Description
Author: Chris Chapman
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
This title confidently puts forward a practical, new approach to decision making in an uncertain business world. Many variables are accounted for and the authors are innovative in integrating previous types of decision-making approaches with a more fluid, and therefore realistic model that can be applied across a wide range of contexts and decisions. A new title on a important topic that not only stands well on its own, but also complements Chapman and Ward's previous title Project Risk Management. This book is practical and rigorous yet written in an engaging way. It is perfect for courses, or to be used by practitioners.
Author: Vincent A. W. J. Marchau
Publisher: Springer
ISBN: 3030052524
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
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.
Author: Raydugin, Yuri
Publisher: IGI Global
ISBN: 152251791X
Category : Business & Economics
Languages : en
Pages : 523
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Book Description
The proper understanding and managing of project risks and uncertainties is crucial to any organization. It is of paramount importance at all phases of project development and execution to avoid poor project results from meager economics, overspending, reputation and environmental damage, and even loss of life. The Handbook of Research on Leveraging Risk and Uncertainties for Effective Project Management is a comprehensive reference source for emerging perspectives of managing risks associated with the execution and development of projects. Highlighting innovative coverage written by top industry specialists, such as complexity theory, psychological bias and risk management fallacies, probabilistic risk analysis, and various aspects of project decision making, this book is ideally designed for project and risk managers, project engineers, cost estimators, schedulers, safety and environmental protection specialists, corporate planners, financial and insurance specialists, corporate decision makers, as well as academics and lecturers working in the area of project management and students pursing PMP, PMI-RMP, ISO 31000, etc. certification.
Author: Franco Caron
Publisher: Springer Science & Business Media
ISBN: 8847052440
Category : Technology & Engineering
Languages : en
Pages : 89
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Book Description
The brief will describe how to develop a risk analysis applied to a project , through a sequence of steps: risk management planning, risk identification, risk classification, risk assessment, risk quantification, risk response planning, risk monitoring and control, process close out and lessons learning. The project risk analysis and management process will be applied to large engineering projects, in particular related to the oil and gas industry. The brief will address the overall range of possible events affecting the project moving from certainty (project issues) through uncertainty (project risks) to unpredictability (unforeseeable events), considering both negative and positive events. Some quantitative techniques (simulation, event tree, Bayesian inference, etc.) will be used to develop risk quantification. The brief addresses a typical subject in the area of project management, with reference to large engineering projects concerning the realization of large plants and infrastructures. These projects are characterized by a high level of change, uncertainty, complexity and ambiguity. The brief represents an extension of the material developed for the course Project Risk Analysis and Management of the Master in Strategic Project Management (Erasmus Mundus) developed jointly by Politecnico di Milano, Heriot Watt University (Edimburgh) and Umea (Sweden). The brief may be used both in courses addressing project management subjects and by practitioners as a guide for developing an effective project risk management plan.
Author: David Cleden
Publisher: Routledge
ISBN: 1351920413
Category : Business & Economics
Languages : en
Pages : 131
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Book Description
Dealing effectively with uncertainty requires today's project manager to be familiar with a broad spectrum of strategies, encompassing both 'hard' and 'soft' methods. This theme of unified thinking (i.e. the need to selectively draw upon a wide range of strategies in any given situation) will differentiate the book from its contemporaries. By picking up where traditional risk management techniques begin to fail, it brings together leading-edge thinking from a variety of disciplines and shows how these techniques can be used to conquer uncertainty in projects. The ability to make good decisions when faced with uncertainty is the real challenge. It is a universal truth that a decision is only as good as the information it is based on. But good information is often hard to come by, and all projects are vulnerable to the unknown and the unknowable. Thus, uncertainty becomes the sworn enemy of the project manager. Wherever we try to analyse, quantify, plan and act, uncertainty lies in wait to surprise us with its ambiguity and unpredictability. It lurks in every stage of the project lifecycle: in the planning (how long will this really take?), the initiation (this isn't the situation I expected!), the execution (who could have foreseen that happening?), and even the completion of a project (where are the expected benefits?). But managing uncertainty is a lot more than just applying risk management techniques. It requires a deep appreciation of how uncertainty arises and, by recognising its different guises, the appropriate strategies can be formulated. If we can learn how to reduce uncertainty, we can make better management decisions and increase the chances of the project succeeding. This book addresses five key questions: ¢ Why is there uncertainty in projects? ¢ How do you spot the symptoms of uncertainty, preferably at an early stage? ¢ What can be done to avoid uncertainty? ¢ What strategies can be used to deal with project uncertainty? ¢ How can both the individual and the organisation learn to cope more effectively in the future? The reader is assumed to be a either a project management professional, or a senior manager looking for ways to improve project management strategy within their organisation. As such, a foundation in project management basics is assumed, although not essential. The book then builds on this by exposing new ideas and concepts, and shows how these can be harnessed to tackle uncertainty in its many guises.
Author: Marco Alexander Caiza Andresen
Publisher: GRIN Verlag
ISBN: 3638783375
Category : Business & Economics
Languages : en
Pages : 17
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Book Description
Seminar paper from the year 2006 in the subject Business economics - Operations Research, grade: 1,7, University of Paderborn (Department of Business Information Systems ), course: Advanced Information Technolgy in Business, language: English, abstract: In consequence of the steadily increasing demand for projects there is an increasing demand for project risk management. Due to the high complexity of project work and its planning there are many possibilities where risks can endanger the success or even the practicability of a certain project. Hence, there cannot be enough emphasis on project risk planning for the smoothly flow of project progression. Within projects the term risk is defined as “[...] the cumulative effect of the chances of uncertain occurrences adversely affecting project objectives” (Wideman 1992, p. I-4). The thorough examination of possibilities for avoidance, elimination or at least for a significant reduction of these risks should lead to a better performance of the ultimate project. The question why some projects succeed while others fail is important to every business. To strengthen the possible future project success, project risk management has to be effectively applied to every project process. Identifying project risks and appropriately cope with them through the development of adequate strategies is the aim of the project risk management process. Having this in mind, the intention of this term paper is to analyze the process of project risk management. After a short introduction, by thorough study of literature in the second chapter the main steps of different approaches of the risk management process in projects will be indicated and compared. After that the most common tools to be used within this process will be indicated before, finally, possibilities for the extension of the project risk management process towards a broader management process will be discussed. In the last chapter a conclusion will be drawn and an answer given to the questions on which are the critical steps towards an effective risk management process and which specific factors have to be focused to overcome the threats concerning management of projects. The work is done on a more general basis to understand the character of the risk management process, giving possibility to an application to many different kinds of projects.
Author: Peter J. Edwards
Publisher: John Wiley & Sons
ISBN: 111948975X
Category : Architecture
Languages : en
Pages : 467
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Book Description
A comprehensive overview of project risk management, providing guidance on implementing and improving project risk management systems in organizations This book provides a comprehensive overview of project risk management. Besides offering an easy-to-follow, yet systematic approach to project risk management, it also introduces topics which have an important bearing on how risks are managed but which are generally not found in other books, including risk knowledge management, cultural risk-shaping, project complexity, political risks, and strategic risk management. Many new concepts about risk management are introduced. Diagrams and tables, together with project examples and case studies, illustrate the authors’ precepts and ideas. Each chapter in Managing Project Risks begins with an introduction to its topic and ends with a summary. The book starts by providing an understanding and overview of risk and continues with coverage of projects and project stakeholders. Ensuing chapters look at project risk management processes, contexts and risk drivers, identification, assessment and evaluation, response and treatment options, and risk monitoring and control. One chapter focuses entirely on risk knowledge management. Others explore the cultural shaping of risk, political risk in projects, computer applications, and more. The book finishes by examining the current state and potential future of project risk management. In essence, this book: Effectively communicates a conceptual and philosophical understanding of risk Establishes the nature of projects and the stakeholders involved in them Presents a systematic and logically progressive approach to the processes of project risk management Demonstrates how to recognize the drivers of project risks and the factors which shape them Emphasizes the importance of capturing and exploiting project risk knowledge Provides guidance about implementing and building (or improving) project risk management systems in organizations Managing Project Risks will benefit practitioners and students of project management across a wide range of industries and professions.
Author: John R. Schuyler
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 294
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Book Description
Some of Schuyler's tried-and-true tips include: - The single-point estimate is almost always wrong, so that it is always better to express judgments as ranges. A probability distribution completely expresses someone's judgment about the likelihood of values within the range.- We often need a single-value cost or other assessment, and the expected value (mean) of the distribution is the only unbiased predictor. Expected value is the probability-weighted average, and this statistical idea is the cornerstone of decision analysis.- Some decisions are easy, perhaps aided by quick decision tree calculations on the back of an envelope. Decision dilemmas typically involve risky outcomes, many factors, and the best alternatives having comparable value. We only need analysis sufficient to confidently identify the best alternative. As soon as you know what to do, stop the analysis!- Be alert to ways to beneficially change project risks. We can often eliminate, avoid, transfer, or mitigate threats in some way. Get to know the people who make their living helping managers sidestep risk. They include insurance agents, partners, turnkey contractors, accountants, trainers, and safety personnel.
