TY  - CONF
A1  - Götzen, Rafael
A1  - Schuh, Gunther
A1  - Stich, Volker
A1  - Conrad, Ruben
T1  - Classification of software-based automation technologies
T2  - [Proceedings] 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
N2  - Software-based automation is becoming increasingly important to execute administrative processes more efficiently. It is characterized by different levels of technology performance. The area of application for software-based automation ranges from individual rule-based tasks requiring human-machine collaboration, to decision-based end-to-end automation performed by an artificial intelligence. Existing approaches found in literature and practice to classify those automation stages only insufficiently define the boundaries between the different technology levels. Due to this heterogeneity, it is often unclear how different technology characteristics affect the working environment of a company. This leads to an unpredictable nature of automation: job creation as an opportunity and job loss as a challenge. In this paper, a literature review shows the current state of research regarding the different classifications of technology levels for software-based automation. Consequently, a comparison of these approaches enables the deduction of relevant criteria and creates a frame for the classification of different automation levels. This framework provides an approach for further research to incorporate the effects into the working environment.
KW  - Robotic Process Automation
KW  - Artificial intelligence
KW  - Morphology
KW  - Socio-technical Systems
Y1  - 2021
UR  - https://epub.fir.de/frontdoor/index/index/docId/3997
SN  - 978-1-665-44963-2
N1  - RPAsset:
Software-based automation of administrative processes using robotic process automation

The aim of the RPAsset research project is to identify suitable processes and technologies for SMEs in order to demonstrate an optimal integration strategy for robotic process automation (RPA) that adequately takes into account organizational and process-related as well as human aspects.

Acknowledgments:
The presented research is part of the results of the research project “RPAsset”. The IGF project 20661 N of the Research Association FIR e. V. at the RWTH Aachen University, Campus-Boulevard 55, 52074 Aachen, is funded via the AiF within the framework of the programme for the funding of cooperative industrial research (IGF) by the Federal Ministry of Economics and Energy based on a resolution of the German Bundestag. The responsibility for the content of this publication lies with the authors. The authors would like to thank the AiF for the kind support within this research project.

Duration: 01.05.2019 – 30.04.2021
Funding no.: 20661 N
Promoters: Arbeitsgemeinschaft industrieller Forschungsvereinigungen "Otto von Guericke" e. V. (AiF)
Funding context: Bundesministerium für Wirtschaft und Energie (BMWi) aufgrund eines Beschlusses des Deutschen Bundestages

Benefits for the target group:
The results of the research project RPAsset will enable SMEs in Germany to identify the relevant administrative processes and to implement RPA applications in a resource-saving manner. The released time resources can, for example, be used to work on more complex topics with high cognitive demands.

Project partners:
    4C Group AG, Düsseldorf
    Advanced Industry Analytics GmbH & Co. KG, Ulm
    Airbus Operations GmbH, Hamburg
    ALMATO GmbH, Reutlingen
    DERICHS u KONERTZ Projektentwicklung GmbH, Aachen
    Deutscher Process Automation Verband e. V., Magdeburg
    Drees & Sommer SE, Stuttgart
    exprobico, Firscherhude
    FAS AG, Stuttgart
    Horváth & Partners Management Consultant, Stuttgart
    Lebenshilfe Aachen Werkstätten & Service GmbH, Aachen
    Markus Starke Management Consulting, Hamburg
    noltewerk GmbH & Co. KG, Greven
    Roboyo GmbH, Nürnberg
    SCHOTTEL GmbH, Spay/Rhein
    Servicetrace GmbH, Darmstadt
    SEW-EURODRIVE GmbH & Co. KG, Bruchsal
    SMS digital GmbH, Düsseldorf
    SUBITO AG, Mörfelden-Walldorf
    TEN4 Consulting GmbH, Frankfurt
    TRUMPF GmbH + Co. KG, Ditzingen
    UI Path GmbH, München
    WARGITSCH & COMP. AG, Pfaffenhofen an der Ilm
    Westaflexwerk GmbH, Gütersloh
    YNCORIS GmbH & Co. KG, Hürth
PB  - IEEE
CY  - Piscataway (NJ)
ER  -