DocumentCode :
3863096
Title :
Big data implementation for the reaction management in manufacturing systems
Author :
Volker Stich;Kerem Oflazgil;Moritz Schr?ter;Jan Reschke;Felix Jordan;Gregor Fuhs
Author_Institution :
Institute for Industrial Management (FIR) at RWTH Aachen University, Aachen, Germany
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Big Data is one of the most discussed trend themes worldwide in both research community and industrial practice. Thus, researchers as well as company representatives focus on the study of Big Data technologies and the potentials deriving from gaining and structuring data. In this paper, we firstly conduct a literature review. Then, we describe the approach to implement reaction management in manufacturing environment before we finally report on a research project aiming at applying Big Data technologies in producing companies. The project goal is to develop a real-time capable platform in consideration of industrial requirements. With the help of a Big Data platform, producing companies will be enabled to use several applications like e.g. monitoring, prognosis or reaction. By receiving appropriate measures defined in the platform, the ability of producing companies to detect and to react proactively to failures deriving in manufacturing will sustainably increase.
Keywords :
"Production","Big data","Real-time systems","Companies","Monitoring","Stress","Optimization"
Publisher :
ieee
Conference_Titel :
Information, Communication and Automation Technologies (ICAT), 2015 XXV International Conference on
Type :
conf
DOI :
10.1109/ICAT.2015.7340496
Filename :
7340496
Link To Document :
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