Service innovation and smart analytics for Industry 4.0 and big data environment

Abstract

Today, in an Industry 4.0 factory, machines are connected as a collaborative community. Such evolution requires the utilization of advance-prediction tools, so that data can be systematically processed into information to explain uncertainties, and thereby make more "informed" decisions. Cyber-Physical System-based manufacturing and service innovations are two inevitable trends and challenges for manufacturing industries. This paper addresses the trends of manufacturing service transformation in big data environment, as well as the readiness of smart predictive informatics tools to manage big data, thereby achieving transparency and productivity. © 2014 Elsevier B.V.