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Springer Robust Discrete Optimization and Its Applications

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Description

Navigate decision making in environments defined by significant data uncertainty with this Springer publication. This book focuses on operations and production management applications, providing a framework for when decision makers face inadequate knowledge regarding the random state of nature. By utilizing a robustness approach, you can develop decisions that hedge against the worst possible contingencies. This proactive method ensures that uncertainty is not ignored, allowing for better management in unpredictable settings. It is an essential resource for professionals looking to implement strategies that account for unknown variables in complex production environments.

Key Features

This Springer book focuses on decision making within environments of significant data uncertainty.

The text provides specific applications for operations and production management.

Learn to use the robustness approach to develop decisions that hedge against the worst contingency.

The material addresses scenarios where decision makers have inadequate knowledge of the random state of nature.

The book offers a proactive response to uncertainty rather than ignoring it.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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