Classification of software-based automation technologies
- 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.
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| Author: | Rafael Götzen, Gunther SchuhORCiDGND, Volker StichORCiDGND, Ruben Conrad |
|---|---|
| DOI: | https://doi.org/10.1109/ICE/ITMC52061.2021.9570264 |
| ISBN: | 978-1-665-44963-2 |
| Parent Title (English): | [Proceedings] 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) |
| Subtitle (English): | Derivation of characteristics through an empirical investigation |
| Publisher: | IEEE |
| Place of publication: | Piscataway (NJ) |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2021/11/01 |
| Date of first Publication: | 2021/06/21 |
| Release Date: | 2025/09/08 |
| Tag: | Artificial intelligence; Morphology; Robotic Process Automation; Socio-technical Systems |
| Page Number: | 9 S. |
| Note: | 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 |
| Name of the conference: | 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) |
| place of the conference: | Cardiff, United Kingdom |
| Date of the conference: | 21.06.2021-23.06.2021 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Business Transformation | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
