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Making the most of Big Data: Analytics-as-a-Service in the supply chain

 
: Colangelo, Eduardo; Jäger, Jens; Paulus-Rohmer, Dominik; Schatz, Anja; Bauernhansl, Thomas

Oduoza, Chike F. (Ed.) ; University of Wolverhampton:
FAIM 2015, 25th International Conference on Flexible Automation and Intelligent Manufacturing 2015. Proceedings. Vol.II : Designing for Advanced, High Value Manufacturing and Intelligent Systems for the 21st Century. 23-26 June 2015, Wolverhampton, UK
Wolverhampton, UK: Choir Press, 2015
S.522-529
International Conference on Flexible Automation and Intelligent Manufacturing (FAIM) <25, 2015, Wolverhampton>
Englisch
Konferenzbeitrag
Fraunhofer IPA ()
Big Data; Industrie 4.0; supply chain; Datenanalyse; Dienstleistung

Abstract
Human beings, though being the most perfect "machine" in many areas and for multiple tasks, are still limited in their capacity to process and share information with each other. In a world where the data required for decision making grows exponentially, such flaw prevents them from creating maximum synergy, since they have to make use of classical methods. Those classical methods generate only suboptimal solutions, wasting valuable resources (time, money, energy, etc.). Big data is proposed as solution for such a situation. But it is rather an approach that requires many considerations than a method. This paper proposes the usage of analytical services to provide enterprises with a practical way to deal with these enormous amounts of data by choosing and combining the models that best suit their particular problematic.

: http://publica.fraunhofer.de/dokumente/N-360392.html