Decision Making under Deep Uncertainty

Decision Making under Deep Uncertainty

Author: Vincent A. W. J. Marchau

Publisher: Springer

Published: 2019-04-04

Total Pages: 408

ISBN-13: 3030052524

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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.


Data-Driven Decision Making and Dynamic Planning

Data-Driven Decision Making and Dynamic Planning

Author: Paul Preuss

Publisher: Routledge

Published: 2013-09-27

Total Pages: 147

ISBN-13: 1317924142

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This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a "Dynamic Planning" process into the daily operation of your school.


Dynamic Urban Design

Dynamic Urban Design

Author: Michael A. Von Hausen

Publisher: iUniverse

Published: 2013

Total Pages: 539

ISBN-13: 1475949898

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"For future human survival and quality of life, the world needs a more inclusive, rigorous, socially inspired, and comprehensive urban design model integrated with sustainable development. This book delivers that model ..."--Back cover.


Planning Algorithms

Planning Algorithms

Author: Steven M. LaValle

Publisher: Cambridge University Press

Published: 2006-05-29

Total Pages: 844

ISBN-13: 9780521862059

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Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.


Dynamic Management of Growing Firms

Dynamic Management of Growing Firms

Author: Lorraine Uhlaner Hendrickson

Publisher: University of Michigan Press

Published: 1998

Total Pages: 292

ISBN-13: 9780472109272

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How CEOs and managers of established firms can move away from crisis management toward more effective, planned growth in this age of global competition. Derived from open systems theory, empirical research, and practical experience, the Dynamic Systems Planning (DSP) Model described here aids strategists and scholars in identifying and analyzing a comprehensive set of core competencies of an organization to assure growth and profitability.


R&d Strategy & Organisation: Managing Technical Change In Dynamic Contexts

R&d Strategy & Organisation: Managing Technical Change In Dynamic Contexts

Author: Vittorio Chiesa

Publisher: World Scientific

Published: 2001-03-09

Total Pages: 292

ISBN-13: 1783261501

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This book deals with key issues and trade-offs in R&D strategy and organisation, paying attention especially to dynamic competitive contexts where technology plays a key role. These topics are treated from the perspective of the decision taker, i.e. the manager who makes decisions in terms of R&D strategy and organisation. The book addresses typical problems of large firms having structured R&D and operating businesses where R&D is a source of competitive advantages. Although it focuses strongly on R&D, it sees R&D as a part (a key part) of the process of technological innovation, and therefore as an activity to be strongly and appropriately integrated with other functions to make innovation successful.This book is primarily conceived as an academic review of research topics. Therefore the main audience is composed of scholars, researchers and PhD students. However, the book can be useful for postgraduate students taking MBA electives, or students attending courses on technology management. It is also relevant to R&D managers and, more generally, people responsible for units concerned with technological innovation.


Control and Dynamic Systems V48: Manufacturing and Automation Systems: Techniques and Technologies

Control and Dynamic Systems V48: Manufacturing and Automation Systems: Techniques and Technologies

Author: C.T. Leonides

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 462

ISBN-13: 0323162991

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Control and Dynamic Systems: Advances in Theory and Applications, Volume 48: Manufacturing and Automation Systems: Techniques and Technologies, Part 4 of 5 deals with techniques and technologies in manufacturing and automation systems. This book begins by discussing the advances of techniques for measuring the effectiveness of investments in automation and manufacturing systems. It then turns to graphical concurrent modeling language (GCML), a program used to model and analyze discrete manufacturing systems. This book also presents techniques for modeling solids; strategies for design optimization of machine products; design and control of industrial robots; and other optimization methodologies for manufacturing, robotic, and automation systems. This book will provide a uniquely significant reference for those who are interested in manufacturing, robotics, and automation systems.


Project Portfolios in Dynamic Environments

Project Portfolios in Dynamic Environments

Author: Brian Hobbs

Publisher: Project Management Institute

Published: 2012-05-01

Total Pages: 307

ISBN-13: 1628250127

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Project Portfolios in Dynamic Environments: Organizing for Uncertainty is a comprehensive report of research that addresses this important, rising issue. Authors Yvan Petit and Brian Hobbs present the results of their investigation in a report that significantly advances the theory and also offers tips for practice. Currently, those applying project portfolio management tend to focus on the selection, prioritization, and strategic alignment of projects. Little attention is afforded the potential disturbances to project portfolios such as new projects, terminated projects, delayed projects, incorrect planning due to high uncertainty, and changes in the external environment. Yet, these factors can have highly disruptive, even show-stopping influence. This research seeks to answer: How is uncertainty affecting project portfolios managed in dynamic environments?


Motion Planning in Dynamic Environments

Motion Planning in Dynamic Environments

Author: Kikuo Fujimura

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 190

ISBN-13: 4431681655

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Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. TOSIYASU L. KUNII To my parents Kenjiro and Nori Fujimura Preface Motion planning is an area in robotics that has received much attention recently. Much of the past research focuses on static environments - various methods have been developed and their characteristics have been well investigated. Although it is essential for autonomous intelligent robots to be able to navigate within dynamic worlds, the problem of motion planning in dynamic domains is relatively little understood compared with static problems.