By Michael Doumpos,Constantin Zopounidis,Evangelos Grigoroudis

This ebook presents a wide insurance of the new advances in robustness research in determination assisting, optimization, and analytics. It bargains a complete representation of the demanding situations that robustness increases in numerous operations study and administration technology (OR/MS) contexts and the methodologies proposed from a number of views. apart from protecting contemporary methodological advancements, this quantity additionally positive factors purposes of strong strategies in engineering and administration, therefore illustrating the robustness concerns raised in real-world difficulties and their solution inside of advances in OR/MS methodologies.
Robustness research seeks to handle concerns through selling recommendations, that are applicable below a large set of hypotheses, assumptions and estimates. In OR/MS, robustness has been usually considered within the context of optimization below uncertainty. a number of students, besides the fact that, have emphasised the a number of features of robustness research in a broader OR/MS standpoint that is going past the conventional framework, looking to disguise the choice help nature of OR/MS methodologies to boot. As new demanding situations emerge in a “big-data'” period, the place the knowledge quantity, velocity of stream, and complexity raise swiftly, and analytics play a primary function for strategic and operational decision-making at a world point, robustness concerns reminiscent of those coated during this publication turn into extra proper than ever for offering sound selection help via extra strong analytic tools.

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