Development of a Context-Sensitive Navigation System for In-plant Milk-runs Based on Real-time Localization

Fluctuating transport demands caused by an increasing product variety present a major challenge for an efficient production supply with milk-run (MR) systems. In this context, dynamic control strategies allow for a flexible adaption of MR routes and schedules based on the actual demand. In order to support MR operators in dynamic environments and to provide them with the right information at the right time, this paper presents a context-sensitive assistance and navigation system. The system uses position data and data from user interaction to guide the operator during the MR cycle and to adapt the information provided on the user interface.

[1]  Armin Lang,et al.  Evaluation of an Intelligent Collision Warning System for Forklift Truck Drivers in Industry , 2018, HCI.

[2]  Peter Stephan.  System architecture for using location information for process optimization within a factory of things , 2010, LocWeb '10.

[3]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[4]  Detlef Zühlke,et al.  Preliminary Insides for an Anthropocentric Cyber-physical Reference Architecture of the Smart Factory , 2013 .

[5]  Klaus-Dieter Thoben,et al.  Einsatz mobiler Computersysteme im Rahmen von Industrie 4.0 zur Bewältigung des demografischen Wandels , 2017, Handbuch Industrie 4.0.

[7]  Mathias Schmitt,et al.  Mensch-Maschine-Interaktion im Industrie 4.0-Zeitalter , 2017, Handbuch Industrie 4.0.

[8]  Mathias Schmitt,et al.  Mensch-Maschine-Interaktion im Industrie 4.0-Zeitalter , 2017, Handbuch Industrie 4.0.

[9]  Hitoshi Takeda.  The Synchronized Production System: Going Beyond Just-In-Time Through Kaizen , 2006 .

[10]  Angelika C. Bullinger-Hoffmann,et al.  Improving maintenance processes with socio - cyber-physical systems , 2014 .

[11]  Hans Brandt-Pook,et al.  Softwareentwicklung kompakt und verständlich , 2015 .

[12]  Johannes Fottner,et al.  Real-time Pallet Localization with 3D Camera Technology for Forklifts in Logistic Environments , 2018, 2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI).

[13]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[14]  Huseyin Selcuk Kilic,et al.  A mathematical model and a heuristic approach for periodic material delivery in lean production environment , 2013 .

[15]  Andreas Willig,et al.  Protocols and Architectures for Wireless Sensor Networks , 2005 .

[16]  David Bartlett,et al.  Essentials of Positioning and Location Technology , 2013 .

[17]  C. Keuntje,et al.  Einsatz von Routenzugsystemen zur Produktionsversorgung - Studie zu Planung, Steuerung und Betrieb , 2017 .

[18]  Fabrice Reclus,et al.  Geofencing for fleet & freight management , 2009, 2009 9th International Conference on Intelligent Transport Systems Telecommunications, (ITST).

[19]  Peter Kurtz,et al.  Entwicklung von Assistenzsystemen für manuelle Industrieprozesse , 2015, DeLFI WOrkshops.

[20]  R. Mautz.  Indoor Positioning Technologies , 2012 .

[21]  Mathias Schmitt,et al.  Mobile Interaction Technologies in the Factory of the Future , 2013, IFAC HMS.

[22]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.