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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.

Détails
Auteur
Michael  Doumpos , Evangelos  Grigoroudis , Constantin  Zopounidis
Marque
Springer
Collection
International Series in Operations Research & Management Science
Parution
2016-07-12
Pages
321 pages
EAN papier
9783319331195
Langue
Anglais
Informations ebook
EAN PDF
9783319331218
Prix
147,69 €
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Nb pages copiables 3
Nb pages imprimables 32
Taille du fichier 6390 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
EAN EPUB
9783319331218
Prix
147,69 €
En savoir plus
Nb pages copiables 3
Nb pages imprimables 32
Taille du fichier 3236 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
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