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2015 | OriginalPaper | Chapter

Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process

Authors : Yingfeng Zhang, Shan Ren

Published in: Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Publisher: Springer International Publishing

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Abstract

With the widely use of smart sensor devices in the product lifecycle management (PLM), it creates amount of real-time and muti-source lifecycle big data. These data allow decision makers to make better-informed PLM decisions. In this article, an overview framework of big data based analysis for product lifecycle (BDA-PL) was presented to provide a new paradigm by extending the techniques of Internet of Things (IoT) and big data analysis to manufacturing field. Under this framework, the real-time lifecycle data of products can be active perception and collection. Considering the challenges of processing the lifecycle big data into useful information and exchange it among various lifecycle phase, a graphical model of big data mining was designed to achieve knowledge discovery. Finally, a case has been used to illustrate the proof-of-concept application of the proposed BDA-PL.

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previous chapter Integrate Product Planning Process of OKP Companies in the Cloud Manufacturing Environment
next chapter Development of a Product Configuration System for Cloud Manufacturing
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Metadata
Title
Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process
Authors
Yingfeng Zhang
Shan Ren
Copyright Year
2015
Book
Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Print ISBN: 978-3-319-22758-0

Electronic ISBN: 978-3-319-22759-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22759-7_50

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