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Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth IFIP WG 5.7 International Conference, APMS 2015, Tokyo, Japan, September 7-9, 2015, Proceedings, Part II |
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Conference papers
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.
Cited literature [10 references]
https://hal.inria.fr/hal-01431128
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 10, 2017 - 3:22:09 PM
Last modification on : Thursday, March 5, 2020 - 4:45:07 PM
Long-term archiving on: : Tuesday, April 11, 2017 - 3:56:02 PM
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 10, 2017 - 3:22:09 PM
Last modification on : Thursday, March 5, 2020 - 4:45:07 PM
Long-term archiving on: : Tuesday, April 11, 2017 - 3:56:02 PM
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