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Qing Duan; Krishnendu Chakrabarty; Jun Zeng

Qing Duan; Krishnendu Chakrabarty; Jun Zeng Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System (Hardcover)

Qing Duan; Krishnendu Chakrabarty; Jun Zeng Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System (Hardcover)

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This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurabilty-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System (Hardcover)

Specifications

Language

English

Publisher

Springer International Publishing

Book Format

Hardcover

Number of Pages

160

Author

Jun Zeng, Qing Duan, Krishnendu Chakrabarty

Title

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

ISBN-13

9783319187372

Publication Date

June, 2015

Assembled Product Dimensions (L x W x H)

9.21 x 6.14 x 0.44 Inches

ISBN-10

3319187376

SKU: WA46323322

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