Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process - Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth - Part II Access content directly
Conference Papers Year : 2015

Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process

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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hal-01431128 , version 1 (10-01-2017)

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Yingfeng Zhang, Shan Ren. Big Data Based Analysis Framework for Product Manufacturing and Maintenance Process. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2015, Tokyo, Japan. pp.427-435, ⟨10.1007/978-3-319-22759-7_50⟩. ⟨hal-01431128⟩
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