SMART FACE

SMART FACE - Smart Micro Factory for Electric Vehicles with Lean Production Planning

Not only for electric vehicles, the Smart Face project of the initiative Autonomics 4.0 can be seen as a pioneer of new sustainable methods and concepts in logistics. This system can be used in all areas of small and medium series production such as the production of a coffee machine or a sports shoe. All production processes can be optimized by means of the Smart Face project, whereby decentralized, highly flexible material flow units, realized by Cyber-Physical Systems (CPS), are the focus. For the first time, the flow of information is linked to the real material flow by embedded systems, creating an easily scalable production process.

Changing requirements - new solutions

Ever shorter product life cycles, individualized production and an increase in production are factors standing behind increasing demands on current logistics systems. Although automated and highly efficient assembly lines are already in use today, they do not offer the option of decentralized control and are designed exclusively for maximum productivity. SMART FACE combines the decentralized control according to the Internet of Things principle with new technology and meets the individual requirements of today's logistics.

SMART FACE application

SMART FACE offers the possibility, that parts that need to be processed find their own way from machine to machine. This enables more efficient operation and higher utilization. In combination with a new and lean program planning concept, processes within the production can be optimized and ultimately costs can be saved. Especially in the field of small series production, particularly the emerging production of electric cars, classic systems can no longer meet the requirements.

1. Adrian Böckenkamp, Christoph Mertens, Christoph, Christian Prasse, Jonas Stenzel, Frank Weichert: A Versatile and Scalable Production Planning and Control System for Small Batch Series, Industrial Internet of Things: Cybermanufacturing Systems, Springer, 2016 (accepted for publication)
2. Adrian Böckenkamp, Frank Weichert, Christian Prasse: A Robust, Real-time Capable Framework for Fully Automated Order Picking of Pouch-parceled Goods,  SAI Intelligent Systems Conference, 2016 (accepted for publication)
3. Lennart Bochmann, Lars Gehrke, Nils Gehrke, Christoph Mertens und Oliver Seiss: Innovative Konzepte einer sich selbstorganisierenden Fahrzeugmontage am Beispiel des Forschungsprojekts SMART FACE, Einführung und Umsetzung von Industrie 4.0 – Grundlagen, Vorgehensmodell und Use Cases aus der Praxis, Springer-Verlag Berlin Heidelberg, 2016
4. Lennart Bochmann, Lars Gehrke, Adrian Böckenkamp, Frank Weichert, Rainer Albersmann, Christian Prasse, Christoph Mertens, Marco Motta, Konrad Wegener: Towards Decentralized Production: A Novel Method to Identify Flexibility Potentials in Production Sequences Based on Flexibility Graphs, Int. J. of Automation Technology, Volume 9, Issue 3, 270-282, 2015
5. Kay Fürstenberg, Christopher Kirsch: Intelligente Sensorik als Grundbaustein für Cyber-physische Systeme in der Logistik, In: Vogel-Heuser B, Bauernhansl T, ten Hompel M (Hrsg.) Handbuch Industrie 4.0, 1. Auflage. Springer, Berlin, 2015, (accepted for publication)
6. Adrian Böckenkamp, Frank Weichert, Yan Rudall, Christian Prasse: Automatic Robot-based Unloading of Goods out of Dynamic AGVs Within Logistic Environments, Lecture Notes in Logistics, Commercial Transport, 397-412, 2015
7. Kay Fürstenberg, Christopher Kirsch: Intelligente Sensorik als Grundbaustein für Cyber-physische Systeme in der Logistik, In: Vogel-Heuser B, Bauernhansl T, ten Hompel M (Hrsg.) Handbuch Industrie 4.0, 1. Auflage. Springer, Berlin, 2015, (accepted for publication)
8. Adrian Böckenkamp, Frank Weichert, Jonas Stenzel, Dennis Lünsch: Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems, ML4CPS – Machine Learning for Cyber Physical Systems and Industry 4.0, 111-121, 2016
9. Bauer, Kay Fürstenberg, Christopher Kirsch: Intelligente Sensorik : Die Basis für Autonomie in der Industrie 4.0, VDI-Tagung Industrie 4.0, 2016 (accepted for publication)
10. Sigmar Gabriel: Visionen und Geschäftsmodelle - Neuer Standard Industrie 4.0, In: Unternehmermagazin Ausgabe 3/4 2015, Download
    
11. Bernd Müller: Die autonome Autofabrik, In: weiter.vorn 4/2015, S. 18, Download
    
12. Gerhard Rinkenauer, Adrian Böckenkamp, Frank Weichert: Mensch-Roboter-Interaktion im Kontext von Industrie 4.0: Annähern-Meiden-Tendenzen als ein Bewertungsmerkmal für die Qualität der Interaktion?, GfA-Frühjahrskongress, 2016, (accepted for publication)