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Data-driven optimization and knowled...

Duan, Qing.

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Data-driven optimization and knowledge discovery for an enterprise information system

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data-driven optimization and knowledge discovery for an enterprise information system/ by Qing Duan, Krishnendu Chakrabarty, Jun Zeng.
Author:	Duan, Qing.
other author:	Chakrabarty, Krishnendu.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xii, 160 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion.
Contained By:	Springer eBooks
Subject:	Management information systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-18738-9
ISBN:	9783319187389 (electronic bk.)

Data-driven optimization and knowledge discovery for an enterprise information system
Duan, Qing.

Data-driven optimization and knowledge discovery for an enterprise information system[electronic resource] /by Qing Duan, Krishnendu Chakrabarty, Jun Zeng. - Cham :Springer International Publishing :2015. - xii, 160 p. :ill. (some col.), digital ;24 cm.

Introduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion.

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 reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.

ISBN: 9783319187389 (electronic bk.)

Standard No.: 10.1007/978-3-319-18738-9doiSubjects--Topical Terms:

528143
Management information systems.

LC Class. No.: T58.6

Dewey Class. No.: 658.4038011

Data-driven optimization and knowledge discovery for an enterprise information system
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100 1 $a Duan, Qing. $3 1902766
245 1 0 $a Data-driven optimization and knowledge discovery for an enterprise information system $h [electronic resource] / $c by Qing Duan, Krishnendu Chakrabarty, Jun Zeng.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 160 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion.
520 $a 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 reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making.
650 0 $a Management information systems. $3 528143
650 0 $a Program transformation (Computer programming) $3 907578
650 0 $a Data mining. $3 562972
650 1 4 $a Engineering. $3 586835
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Circuits and Systems. $3 896527
650 2 4 $a Information Storage and Retrieval. $3 761906
700 1 $a Chakrabarty, Krishnendu. $3 896741
700 1 $a Zeng, Jun. $3 1058019
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-18738-9
950 $a Engineering (Springer-11647)