Service innovation and smart analytics for Industry 4.0 and big data environment
نویسندگان
چکیده
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 that can explain the 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 to achieve transparency and productivity. © 2014 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the International Scientific Committee of “The 6th CIRP Conference on Industrial ProductService Systems” in the person of the Conference Chair Professor Hoda ElMaraghy.
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