Resource-Based Adaptive Robotic Process Automation View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2020-06-03

AUTHORS

Renuka Sindhgatta , Arthur H. M. ter Hofstede , Aditya Ghose

ABSTRACT

Robotic process automation is evolving from robots mimicking human workers in automating information acquisition tasks, to robots performing human decision tasks using machine learning algorithms. In either of these situations, robots or automation agents can have distinct characteristics in their performance, much like human agents. Hence, the execution of an automated task may require adaptations with human participants executing the task when robots fail, to taking a supervisory role or having no involvement. In this paper, we consider different levels of automation, and the corresponding coordination required by resources that include human participants and robots. We capture resource characteristics and define business process constraints that support process adaptations with human-automation coordination. We then use a real-world business process and incorporate automation agents, compute resource characteristics, and use resource-aware constraints to illustrate resource-based process adaptations for its automation. More... »

PAGES

451-466

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-49435-3_28

DOI

http://dx.doi.org/10.1007/978-3-030-49435-3_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1128157559


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