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Robotic Process Automation in Industrial Engineering: Challenges and Future Perspectives

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Advances in Manufacturing, Production Management and Process Control (AHFE 2021)

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Abstract

Robotic Process Automation (RPA) is an emerging technology in the field of software automation, which is making rapid progress within efficiency-driven industries. Whilst it has found broad dispersion in the automation of office tasks, its potentials in manufacturing and industrial engineering are unexhausted. This paper explores the basic concepts and possible extensions of RPA, and identifies targets promising application areas in industrial engineering. For this purpose, a systematic literature review was carried out to deepen insights into the state-of-the-art, methods and research type facets. Over the past five years 21 scientific contributions have been identified and classified according to bibliometric data, their specific contribution (i.e., analysis, concepts, methods, metrics, tools) and the applied research type (i.e., evaluation, experience, solution, validation, vision). The results of literature survey reveals existing research gaps in particular emphasizing on strong demands of manufacturing and industrial engineering sectors to catch up on research work to leverage large potentials of RPA for future applications.

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Acknowledgments

This research was supported by the Austrian Research Promotion Agency (FFG), the Austrian Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (bmk), the TU Wien through the endowed professorship “HCCPPAS” (FFG-852789).

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Correspondence to Sebastian Schlund .

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Schlund, S., Schmidt, M. (2021). Robotic Process Automation in Industrial Engineering: Challenges and Future Perspectives. In: Trzcielinski, S., Mrugalska, B., Karwowski, W., Rossi, E., Di Nicolantonio, M. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-030-80462-6_40

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  • DOI: https://doi.org/10.1007/978-3-030-80462-6_40

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