Robustness Analysis in Decision Aiding, Optimization, and Analytics

Autor: MICHAEL DOUMPOS

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Editura: Springer International Publishing AG

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

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Autor

MICHAEL DOUMPOS

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

321

EAN

9783319814322

ISBN

9783319814322

Enbook ID

19703705

Editura

Springer International Publishing AG

Greutate

5212

Dimensiuni

155 x 235 x 19

Descriere completă

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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