Robustness Analysis in Decision Aiding, Optimization, and Analytics

Autor: MICHAEL DOUMPOS

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

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This book provides a broad coverage of the recent advances in robustness analysis in decision aiding...

Informácie o knihe

Autor

MICHAEL DOUMPOS

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2018

Stránok

321

EAN

9783319814322

ISBN

9783319814322

Enbook ID

19703705

Vydavateľ

Springer International Publishing AG

Hmotnosť

5212

Rozmery

155 x 235 x 19

Kompletný popis

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.

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