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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

6. Analysis and Prediction of Enterprise Service-Level Performance

verfasst von : Qing Duan, Krishnendu Chakrabarty, Jun Zeng

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

Verlag: Springer International Publishing

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Abstract

Research on productivity improvement is gaining accelerated attention in enterprise industry in recent years. One notable example is the LDP solution by Xerox [1]. LDP is Xerox’s simulation-based service solution offered through Xerox Managed Services (XMS) that helps to enhance print shop productivity. There are distinctions between our and their simulation-based approaches. In our approach, we modeled the print production as a content-driven cyber-physical system [2]. Anticipating that the pervasive sensing and computing-based knowledge discovery will enable additional design space and flexibility, we have tested our optimization and knowledge discovery components on the simulation platform.

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Vorheriges Kapitel Optimization of Order-Admission Policies
Nächstes Kapitel Conclusion
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Metadaten
Titel
Analysis and Prediction of Enterprise Service-Level Performance
verfasst von
Qing Duan
Krishnendu Chakrabarty
Jun Zeng
Copyright-Jahr
2015
Buch
Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

Print ISBN: 978-3-319-18737-2

Electronic ISBN: 978-3-319-18738-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-18738-9_6

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