articleProcedia CIRPJan 1, 2014DIAMOND OA

Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment

University of Cincinnati

Indexed incrossref

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.

Citation impact

1,839
total citations
FWCI
177.46
Percentile
100%
References
15
Citations per year

Authors

3

Topics & keywords

Keywords
  • Big data
  • Industry 4.0
  • Analytics
  • Service (business)
  • Productivity
  • Factory (object-oriented programming)
  • Manufacturing
  • Data science
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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