Authors:
Christoph Gröger
1
;
Laura Kassner
2
;
Eva Hoos
2
;
Jan Königsberger
2
;
Cornelia Kiefer
2
;
Stefan Silcher
3
and
Bernhard Mitschang
2
Affiliations:
1
University of Stuttgart and Robert Bosch GmbH, Germany
;
2
University of Stuttgart, Germany
;
3
University of Stuttgart and eXXcellent solutions GmbH, Germany
Keyword(s):
IT Architecture, Data Analytics, Big Data, Smart Manufacturing, Industrie 4.0.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Coupling and Integrating Heterogeneous Data Sources
;
Data Mining
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
Global competition in the manufacturing industry is characterized by ever shorter product life cycles, increasing
complexity and a turbulent environment. High product quality, continuously improved processes as well
as changeable organizational structures constitute central success factors for manufacturing companies. With
the rise of the internet of things and Industrie 4.0, the increasing use of cyber-physical systems as well as the
digitalization of manufacturing operations lead to massive amounts of heterogeneous industrial data across
the product life cycle. In order to leverage these big industrial data for competitive advantages, we present the
concept of the data-driven factory. The data-driven factory enables agile, learning and human-centric manufacturing
and makes use of a novel IT architecture, the Stuttgart IT Architecture for Manufacturing (SITAM),
overcoming the insufficiencies of the traditional information pyramid of manufacturing. We introduce the
SITAM arc
hitecture and discuss its conceptual components with respect to service-oriented integration, advanced
analytics and mobile information provisioning in manufacturing. Moreover, for evaluation purposes,
we present a prototypical implementation of the SITAM architecture as well as a real-world application scenario
from the automotive industry to demonstrate the benefits of the data-driven factory.
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