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Published in:
A Conceptual Framework for Industry 4.0 Read chapter Read first chapter

2018 | OriginalPaper | Chapter

9. Data Analytics in Manufacturing

Authors : M. Sami Sivri, Basar Oztaysi

Published in: Industry 4.0: Managing The Digital Transformation

Publisher: Springer International Publishing

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Abstract

Development of technology has emerged a new concept, Industry 4.0. It has come with two technological improvements, Cyber-Physical System (CPS) and Internet of Things (IoT) that drive manufacturing companies to Data Analytics by generating the huge amount data. In terms of Industry 4.0, data analytics focus on “what will happen” rather than “what has happened”. These problems are entitled as predictive analytics and aims at building models for forecasting future possibilities or unknown events. The aim of this paper is to give insight about these techniques, provide applications from the literature and show a real world case study from a manufacturing company.

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previous chapter The Changing Role of Engineering Education in Industry 4.0 Era
next chapter Internet of Things and New Value Proposition
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Metadata
Title
Data Analytics in Manufacturing
Authors
M. Sami Sivri
Basar Oztaysi
Copyright Year
2018
Book
Industry 4.0: Managing The Digital Transformation

Print ISBN: 978-3-319-57869-9

Electronic ISBN: 978-3-319-57870-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-57870-5_9

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