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Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System / / by Qing Duan, Krishnendu Chakrabarty, Jun Zeng



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Autore: Duan Qing Visualizza persona
Titolo: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System / / by Qing Duan, Krishnendu Chakrabarty, Jun Zeng Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (165 p.)
Disciplina: 025.04
620
621.3815
621.382
Soggetto topico: Electrical engineering
Electronic circuits
Information storage and retrieval
Communications Engineering, Networks
Circuits and Systems
Information Storage and Retrieval
Persona (resp. second.): ChakrabartyKrishnendu
ZengJun
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System  Visualizza cluster
ISBN: 3-319-18738-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299841103321
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