Developing Big Data Analytics for Smart Manufacturing

Abstract

This study deals with how to develop big data analytics for smart manufacturing. The analytics consists of five integrated systems: big data preparation system, big data exploration system, data visualization system, data analysis system, and knowledge extraction system. The functional requirements of the systems are elucidated. In addition, a JAVA-based system is developed to materialize the proposed analytics. Moreover, the analytics is applied to electrical discharge machining. It is found that the analytics can find out rules to optimize electrical discharge machining. Furthermore, the analytics can be used for other machining operations. Since it is free from big-data inequality, not only large enterprises but also small and medium enterprises can use it to benefit from big data.