Téléchargez le livre : Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

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



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Éditeur :

Springer


Paru le : 2015-06-13



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Description

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.
Pages
160 pages
Collection
n.c
Parution
2015-06-13
Marque
Springer
EAN papier
9783319187372
EAN PDF
9783319187389
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
4639 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
87,55 €
EAN EPUB
9783319187389
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
2621 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
87,55 €

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