Autonomous Systems in Production

Toward a planning and development methodology

Roman Dumitrescu

, Thorsten Westermann, Tommy Falkowski

Journal	Industrie 4.0 Management
Issue	Volume 34, 2018, Edition 6, Pages 17-20
Open Access	https://doi.org/10.30844/I40M_18-6_17-20

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Abstract

The performance of assistance systems, especially in the automotive sector, has become an unique selling point. The trend toward Autonomous driving represents the expected impact of innovation resulting from the exploitation of the latest technologies. Besides autonomous driving, other areas of application for autonomous systems could trigger social change - the prime example being industrial production. The following article presents a planning approach tailored to the complex engineering task of planning and designing autonomous systems for industrial applications.

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Bibliography

[1] Walker, J.: The Self-Driving Car Timeline – Predictions from the Top 11 Global Au- tomakers. URL: https://www.techemergence.com/self-driving-car-timeline-themselves-top-11-automakers/, Abrufdatum 25.07.2018.
[2] Broy, M.: Cyber-Physical Systems. Berlin Heidelberg 2010.
[3] Kagermann, H.; Wahlster, W.; Helbig, J.: Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0 – Deutschlands Zukunft als Industriestandort sichern, Forschungsunion Wirtschaft und Wissenschaft, Arbeitskreis Industrie 4.0. Ort 2013.
[4] SAE International: https://www.sae.org/standards/content/j3016_201401/preview/, Abrufdatum 31.07.2018.
[5] Dumitrescu, R.; Gausemeier, J.; Slusallek, P.; Cieslik, S.; Demme, G.; Falkowski, T.; Hoffmann, H.; Kadner, S.; Reinhart, F.; Westermann, T.; Winter, J.: Autonome Systeme. Studien zum deutschen Innovationssystem. Berlin 2018.
[6] Westermann, T.: Systematik zur Reifegradmodell-basierten Planung von Cyber-Physical Systems des Maschinen- und Anlagenbaus. Dissertation. Universität Paderborn 2017.

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