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 life- cycle 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.