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Smart Glasses for State Supervision in Self-optimizing Production Systems

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Advances in Production Research (WGP 2018)

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Abstract

Self-optimizing production systems can adapt to changing environments and have a huge potential to overcome the polylemma of production between scale and scope as well as plan and value. These systems feature a high degree of autonomy in decision making, which makes it harder for humans to understand the current system state and its next actions. In case of derivations from expected behaviour, workers cannot react and initiate countermeasures to ensure quality and safety of the production process. Smart glasses are one promising approach to provide the necessary information to assess system status and make decisions concerning the production process. In order to provide the information, process data has to be collected, processed and visualized. This paper assesses the use case for smart glasses in a self-optimizing assembly system for large airplane structures.

Smart glasses can be used to keep workers involved in self-optimizing production systems. By providing information (visualised through Augmented Reality) about the production process, their expert knowledge enables improving the underlying model of these systems. Also, workers are empowered to interrupt the production process in case of unforeseen errors. The Aachen model of Internet of Production is used as a framework for the required infrastructure.

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Acknowledgement

The authors would like to thank the German Research Foundation DFG for the kind support within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”.

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Authors and Affiliations

  1. Fraunhofer Institute for Production Technology (IPT), Steinbachstraße 17, 52074, Aachen, Germany

    Karl Lossie

  2. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany

    Robert Schmitt

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  1. Karl Lossie
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Correspondence to Karl Lossie .

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Editors and Affiliations

  1. Werkzeugmaschinenlabor WZL, RWTH Aachen University, Aachen, Germany

    Robert Schmitt

  2. Werkzeugmaschinenlabor WZL, RWTH Aachen University, Aachen, Germany

    Günther Schuh

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Lossie, K., Schmitt, R. (2019). Smart Glasses for State Supervision in Self-optimizing Production Systems. In: Schmitt, R., Schuh, G. (eds) Advances in Production Research. WGP 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-03451-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-03451-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03450-4

  • Online ISBN: 978-3-030-03451-1

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