A Learning Factory Teaching Framework and Technology Demonstrator For Robotic Process Automation Application In Cyber-Physical Production Systems

7 Pages Posted: 6 Jun 2023

Date Written: June 6, 2023

Abstract

Robotic Process Automation (RPA) makes it simple to create, use and manage software robots that mimic how people interact with computers and software. Software robots are capable of performing a wide range of predefined tasks, including understanding what is on a screen, making the appropriate keystrokes, navigating systems, and extracting and identifying data. It can be effectively used in production environments to streamline repetitive workflows. The benefits of RPA include a high return on investment, a low initial investment, no disruption to underlying systems, a low-code build environment and seamless integration with existing legacy systems without costly and time-consuming software development. This paper aims to expand the knowledge on the inclusion of RPA in learning factory teaching frameworks to assist with bridging the skills gap related to the implementation of automation and cyber-physical systems in especially small to medium sized manufacturing companies under flexible/ adaptable conditions and legacy systems with interoperability and heterogeneity constraints. A teaching reference framework and technical demonstrator was developed and implemented in a learning factory for realizing automated workflow in a cyber-physical production cell that include additive manufacturing and a collaborative robot. The framework and demonstrator show how RPA can automate data monitoring and control of physical assets and can assist other learning factories with application of RPA in teaching modules.

Keywords: Robotic process automation, Cyber-physical production systems, Learning factory teaching framework, Internet-of-things

Suggested Citation

Louw, Louis, A Learning Factory Teaching Framework and Technology Demonstrator For Robotic Process Automation Application In Cyber-Physical Production Systems (June 6, 2023). Proceedings of the 13th Conference on Learning Factories (CLF 2023), Available at SSRN: https://ssrn.com/abstract=4470438 or http://dx.doi.org/10.2139/ssrn.4470438

Louis Louw (Contact Author)

Stellenbosch University

Carl Cronje Dr, Bellville, Cape Town, 7530, South
Cape Town, 7530

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
68
Abstract Views
240
Rank
621,090
PlumX Metrics