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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.
Description:	XII, 160 p. 76 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-18738-9
ISBN:	9783319187389

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. - 1st ed. 2015. - XII, 160 p. 76 illus., 47 illus. in color.online resource.

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

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

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

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