Consumer Optimization Problem Solving, Norman Alfred L.
Автор: Joan Ernst van Aken Название: Problem Solving in Organizations ISBN: 0521869765 ISBN-13(EAN): 9780521869768 Издательство: Cambridge Academ Рейтинг: Цена: 4277.00 р. Наличие на складе: Поставка под заказ.
Описание: This concise introduction to the methodology of Business Problem Solving (BPS) is an indispensable guide to the design and execution of practical projects in real organizational settings. The methodology is both result-oriented and theory-based, encouraging students to use the knowledge gained on their disciplinary courses, and showing them how to do so in a fuzzy, ambiguous and politically charged real life business context. The book provides in-depth discussion of the various steps in the process of business problem solving. Rather than presenting the methodology as a recipe to be followed, the authors demonstrate how to adapt the approach to specific situations and to be flexible in scheduling the work at various steps in the process. It will be indispensable to MBA students who are undertaking their own field work.
This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies.
Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a “big-data'” era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.
Автор: Qin Название: Uncertain Portfolio Optimization ISBN: 981101809X ISBN-13(EAN): 9789811018091 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content mainly reflects the author’s extensive work on uncertainty portfolio optimization in recent years. Considering security returns as different variables, the book presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory, respectively. As such, it offers readers a comprehensive and up-to-date guide to uncertain portfolio optimization models.
Автор: Paschos Название: Concepts of Combinatorial Optimization 2e ISBN: 1848216564 ISBN-13(EAN): 9781848216563 Издательство: Wiley Рейтинг: Цена: 23277.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area.
Описание: This book provides coverage of topics currently dispersed throughout data mining and business books, bringing them together for the first time to provide readers with an introductory and practical guide to the mathematical models and analysis methodologies vital to business intelligence.
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