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Enabling Smart Workplaces by Implementing an Adaptive Software Framework

  • Peter BurggräfEmail author
  • Achim Kampker
  • Kai Kreisköther
  • Tobias Adlon
  • Aaron Riegauf
  • Benjamin Dorn
  • Patricia Casla
  • Angelo Marguglio
  • Giuseppe Donvito
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 959)

Abstract

Today’s requirements and challenges on production systems have led to an increasing importance of flexible assembly processes. At the same time, arising technologies in the context of Industry 4.0 offer the opportunity to tap previously unknown potentials. These provide both opportunities and risks for the most flexible and important resource in the production: the workers. Within the EU research project A4BLUE, Smart Workplaces are developed in order to raise productivity and quality, while sustaining and enhancing worker satisfaction. Enabled through both a software framework for adaptation management and contextual worker assistance as well as hardware solutions (e.g. automation mechanisms such as smart tools or co-operative robots) for physical support, the workplaces adapt to the workers’ specific characteristics considering both process and environmental variability. The presented research work provides an overview about the Frameworks’ software components and the application to a use case at the RWTH Aachen University.

Keywords

Smart Manufacturing Smart Workplaces Smart assembly Worker assistance Adaptive Automation Software reference architecture 

Notes

Acknowledgements

The research work has been conducted by the Laboratory of Machine Tools and Production Engineering (WZL) and the chair of Production Engineering of E-Mobility Components (PEM) at RWTH Aachen University within the research project A4BLUE, funded by the European Commission within the HORIZON 2020 program; Grant Agreement No. 723 828.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Peter Burggräf
    • 1
    • 2
    Email author
  • Achim Kampker
    • 3
  • Kai Kreisköther
    • 3
  • Tobias Adlon
    • 1
  • Aaron Riegauf
    • 3
  • Benjamin Dorn
    • 3
  • Patricia Casla
    • 4
  • Angelo Marguglio
    • 5
  • Giuseppe Donvito
    • 6
  1. 1.Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen UniversityAachenGermany
  2. 2.Chair of International Production Engineering and Management of University of SiegenSiegenGermany
  3. 3.Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen UniversityAachenGermany
  4. 4.Fundación TeknikerEibarSpain
  5. 5.Engineering Ingegneria Informatica S.p.ARomeItaly
  6. 6.ILLOGIC S.r.l.TurinItaly

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