The Data-driven Factory - Leveraging Big Industrial Data for Agile, Learning and Human-centric Manufacturing

Christoph Gröger, Laura Kassner, Eva Hoos, Jan Königsberger, Cornelia Kiefer, Stefan Silcher, Bernhard Mitschang

2016

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 architecture 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.

Paper Citation

in Harvard Style

Gröger C., Kassner L., Hoos E., Königsberger J., Kiefer C., Silcher S. and Mitschang B. (2016). The Data-driven Factory - Leveraging Big Industrial Data for Agile, Learning and Human-centric Manufacturing . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 40-52. DOI: 10.5220/0005831500400052

in Bibtex Style

@conference{iceis16,
author={Christoph Gröger and Laura Kassner and Eva Hoos and Jan Königsberger and Cornelia Kiefer and Stefan Silcher and Bernhard Mitschang},
title={The Data-driven Factory - Leveraging Big Industrial Data for Agile, Learning and Human-centric Manufacturing},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={40-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005831500400052},
isbn={978-989-758-187-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - The Data-driven Factory - Leveraging Big Industrial Data for Agile, Learning and Human-centric Manufacturing
SN - 978-989-758-187-8
AU - Gröger C.
AU - Kassner L.
AU - Hoos E.
AU - Königsberger J.
AU - Kiefer C.
AU - Silcher S.
AU - Mitschang B.
PY - 2016
SP - 40
EP - 52
DO - 10.5220/0005831500400052