Introduction To The Scenario Approach
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Introduction to the Scenario Approach
This book is about making decisions driven by experience. In this context, a scenario is an observation that comes from the environment, and scenario optimization refers to optimizing decisions over a set of available scenarios. Scenario optimization can be applied across a variety of fields, including machine learning, quantitative finance, control, and identification. This concise, practical book provides readers with an easy access point to make the scenario approach understandable to nonexperts, and offers an overview of various decision frameworks in which the method can be used. It contains numerous examples and diverse applications from a broad range of domains, including systems theory, control, biomedical engineering, economics, and finance. Practitioners can find "easy-to-use recipes," while theoreticians will benefit from a rigorous treatment of the theoretical foundations of the method, making it an excellent starting point for scientists interested in doing research in this field. Introduction to the Scenario Approach?will appeal to scientists working in optimization, practitioners working in myriad fields involving decision-making, and anyone interested in data-driven decision-making.
Introduction to the Scenario Approach
This book is about making decisions driven by experience. In this context, a scenario is an observation that comes from the environment, and scenario optimization refers to optimizing decisions over a set of available scenarios. Scenario optimization can be applied across a variety of fields, including machine learning, quantitative finance, control, and identification. This concise, practical book provides readers with an easy access point to make the scenario approach understandable to nonexperts, and offers an overview of various decision frameworks in which the method can be used. It contains numerous examples and diverse applications from a broad range of domains, including systems theory, control, biomedical engineering, economics, and finance. Practitioners can find "easy-to-use recipes," while theoreticians will benefit from a rigorous treatment of the theoretical foundations of the method, making it an excellent starting point for scientists interested in doing research in this field. Introduction to the Scenario Approach will appeal to scientists working in optimization, practitioners working in myriad fields involving decision-making, and anyone interested in data-driven decision-making.
Scenario Thinking
Develops scenario planning methods in ways that link scenario analysis to improved decision making, engage time-poor senior decision makers, attenuate decision makers’ tendency to deflect responsibility for bleak, negative scenario outcomes, and enhance causal analysis within scenario-storyline development. What if? Two of the most powerful – and frightening – words in business. Almost as bad as “I didn’t see that coming.” Some things that transform the marketplace overnight come from nowhere. Some things that create potentially critical under-performance are genuinely unforeseeable. Sometimes it is impossible to predict how a change in an organizational strategy will play out. Some things and sometimes – but not many and not often. Decision makers in organizations face more-and-more complex and ambiguous problems that need to be addressed under time pressure - and the need for practical decision support has become essential. The range of methods in this book will enable you to be prepared, proactive and resilient no matter what the future brings. Based on up-to-date academic research and years of application and iteration in the real world, this book, illustrated with examples of the value delivered in Europe, Australia and the Middle East, will transfer practical skills in scenario thinking using step-by-step instructions. This thoroughly revised and expanded second edition introduces these new approaches in detail, with clear guidelines and examples to enable the reader to select and implement the most appropriate scenario method to suit the issue at hand – considering the timeframe for its investigation, the resources available and the outcomes expected.