Reconfigurable Manufacturing: Towards an industrial Big Data approach

Abstract

As the world is moving towards more personalized and customized manufacturing, the manufacturing system needs to adapt. One method can be to integrate industry 4.0 concepts in reconfigurable manufacturing systems (RMS). This allows the manufacturing system to become more self-sustaining and flexible at the same time. There is however, a lack of research on how to integrate industry 4.0 concepts such as industrial Big Data (IBD) into RMS. This paper looks at how IBD techniques can be used on an RMS for classification and how to collect data from an RMS. A case study where five different movable platforms are identified with an accuracy of more than 85% is showcased.