Uncertainty X Design
DOWNLOAD
Download Uncertainty X Design PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Uncertainty X Design book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Uncertainty X Design
DOWNLOAD
Author : Ronald A. Beghetto
language : en
Publisher: Cambridge University Press
Release Date : 2023-11-02
Uncertainty X Design written by Ronald A. Beghetto and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-02 with Education categories.
Provides insights, scenarios, and applications to help students embrace uncertainty and become creative authors of their own futures.
Uncertainty By Design
DOWNLOAD
Author : Limor Samimian-Darash
language : en
Publisher: Cornell University Press
Release Date : 2022-04-15
Uncertainty By Design written by Limor Samimian-Darash and has been published by Cornell University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-15 with Social Science categories.
In Uncertainty by Design Limor Samimian-Darash presents cases of the use of scenario technology in the fields of security and emergency preparedness, energy, and health by analyzing scenario narratives and practices at the National Emergency Management Authority in Israel, the World Health Organization's Regional Office for Europe, and the World Energy Council. Humankind has long struggled with the uncertainty of the future, with how to foresee the future, imagine alternatives, or prepare for and guard against undesirable eventualities. Scenario—or scenario planning—emerged in recent decades to become a widespread means through which states, large corporations, and local organizations imagine and prepare for the future. The scenario technology cases examined in Uncertainty by Design provide a useful lens through which to view contemporary efforts to engage in an overall journey of discovering the future, along with the modality of governing involved in these endeavors to face future uncertainties. Collectively, they enable us to understand in depth how scenarios express a new governing modality.
Design Of X Bar Control Chart For Resampling Under Uncertainty Environment
DOWNLOAD
Author : MUHAMMAD ASLAM
language : en
Publisher: Infinite Study
Release Date :
Design Of X Bar Control Chart For Resampling Under Uncertainty Environment written by MUHAMMAD ASLAM and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
This paper presents the designing of the X-bar control chart using resampling scheme under the uncertainty environment. The necessary measures of the present chart are derived under the neutrosophic system. The neutrosophic average run length (NARL) when the process is in-control and out-of-control are derived under the neutrosophic statistical interval method (NSIM). The neutrosophic control chart coef cients are determined through the algorithm developed under NSIM. The comparative study shows that the proposed chart is better than the existing chart in NARL.
Design Decisions Under Uncertainty With Limited Information
DOWNLOAD
Author : Efstratios Nikolaidis
language : en
Publisher: CRC Press
Release Date : 2011-02-18
Design Decisions Under Uncertainty With Limited Information written by Efstratios Nikolaidis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-18 with Technology & Engineering categories.
Today's business environment involves design decisions with significant uncertainty. To succeed, decision-makers should replace deterministic methods with a risk-based approach that accounts for the decision maker‘s risk tolerance. In many problems, it is impractical to collect data because rare or one-time events are involved. Therefore, we need a
Design Decisions Under Uncertainty With Limited Information
DOWNLOAD
Author : Efstratios Nikolaidis
language : en
Publisher: CRC Press
Release Date : 2017-06-16
Design Decisions Under Uncertainty With Limited Information written by Efstratios Nikolaidis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-16 with categories.
Today's business environment involves design decisions with significant uncertainty. To succeed, decision-makers should replace deterministic methods with a risk-based approach that accounts for the decision maker¿s risk tolerance. In many problems, it is impractical to collect data because rare or one-time events are involved. Therefore, we need a methodology to model uncertainty and make choices when we have limited information. This methodology must use all available information and rely only on assumptions that are supported by evidence. This book explains theories and tools to represent uncertainty using both data and expert judgment. It teaches the reader how to make design or business decisions when there is limited information with these tools. Readers will learn a structured, risk-based approach, which is based on common sense principles, for design and business decisions. These decisions are consistent with the decision-maker¿s risk attitude. The book is exceptionally suited as educational material because it uses everyday language and real-life examples to elucidate concepts. It demonstrates how these concepts touch our lives through many practical examples, questions and exercises. These are designed to help students learn that first they should understand a problem and then establish a strategy for solving it, instead of using trial-and-error approaches. This volume is intended for undergraduate and graduate courses in mechanical, civil, industrial, aerospace, and ocean engineering and for researchers and professionals in these disciplines. It will also benefit managers and students in business administration who want to make good decisions with limited information.
Probabilistic And Randomized Methods For Design Under Uncertainty
DOWNLOAD
Author : Giuseppe Calafiore
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-06
Probabilistic And Randomized Methods For Design Under Uncertainty written by Giuseppe Calafiore 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 2006-03-06 with Technology & Engineering categories.
Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world’s leading experts in a fast-emerging branch of control engineering and operations research. The book will be bought by university researchers and lecturers along with graduate students in control engineering and operational research.
Needs And Opportunities For Uncertainty Based Multidisciplinary Design Methods For Aerospace Vehicles
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2002
Needs And Opportunities For Uncertainty Based Multidisciplinary Design Methods For Aerospace Vehicles written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Space vehicles categories.
Uncertainty Management For Robust Industrial Design In Aeronautics
DOWNLOAD
Author : Charles Hirsch
language : en
Publisher: Springer
Release Date : 2018-07-21
Uncertainty Management For Robust Industrial Design In Aeronautics written by Charles Hirsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-21 with Technology & Engineering categories.
This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable optimization), with a special emphasis on aeronautics and turbomachinery, although not limited to these fields. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods. It includes methods for characterization of most influential uncertainties, as well as formulations for robust and reliable design optimization. A distinctive element of the book is the unique collection of test cases with prescribed uncertainties, which are representative of the current engineering practice of the industrial consortium partners involved in UMRIDA, a level 1 collaborative project within the European Commission's Seventh Framework Programme (FP7). All developed methods are benchmarked against these industrial challenges. Moreover, the book includes a section dedicated to Best Practice Guidelines for uncertainty quantification and robust design optimization, summarizing the findings obtained by the consortium members within the UMRIDA project. All in all, the book offers a authoritative guide to cutting-edge methodologies for uncertainty management in engineering design, covers a wide range of applications and discusses new ideas for future research and interdisciplinary collaborations.
The Uncertainty Mindset
DOWNLOAD
Author : Vaughn Tan
language : en
Publisher: Columbia University Press
Release Date : 2020-07-28
The Uncertainty Mindset written by Vaughn Tan and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Social Science categories.
Innovation is how businesses stay ahead of the competition and adapt to market conditions that change in unpredictable and uncertain ways. In the first decade of the twenty-first century, high-end cuisine underwent a profound transformation. Once an industry that prioritized consistency and reliability, it turned into one where constant change was a competitive necessity. A top restaurant’s reputation and success have become so closely bound up with its ability to innovate that a new organizational form, the culinary research and development team, has emerged. The best of these R&D teams continually expand the frontiers of food—they invent a constant stream of new dishes, new cooking processes and methods, and even new ways of experiencing food. How do they achieve this nonstop novelty? And what can culinary research and development teach us about how organizations innovate? Vaughn Tan opens up the black box of elite culinary R&D to provide essential insights. Drawing on years of unprecedented access to the best and most influential culinary R&D teams in the world, he reveals how they exemplify what he calls the uncertainty mindset. Such a mindset intentionally incorporates uncertainty into organization design rather than simply trying to reduce risk. It changes how organizations hire, set goals, and motivate team members and leads organizations to work in highly unconventional ways. A revelatory look at the R&D kitchen, The Uncertainty Mindset upends conventional wisdom about how to organize for innovation and offers practical insights for businesses trying to become innovative and adaptable.
Uncertainty Quantification Using R
DOWNLOAD
Author : Eduardo Souza de Cursi
language : en
Publisher: Springer Nature
Release Date : 2023-02-22
Uncertainty Quantification Using R written by Eduardo Souza de Cursi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-22 with Business & Economics categories.
This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems. The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.