Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation

Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing...

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Main Authors: Daehyoun Choi, Hind R’bigui, Chiwoon Cho
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
RPA
Online Access:https://www.mdpi.com/2071-1050/13/16/8980
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spelling doaj-bbca4fa50b2c46a699b7c86721326f792021-08-26T14:21:39ZengMDPI AGSustainability2071-10502021-08-01138980898010.3390/su13168980Candidate Digital Tasks Selection Methodology for Automation with Robotic Process AutomationDaehyoun Choi0Hind R’bigui1Chiwoon Cho2School of Industrial Engineering, University of Ulsan, Ulsan 44610, KoreaDigital Enterprise Department, Nsoft Co. Ltd, No.407, 14, Tekeunosaneop-ro 55beon-gil, Nam-gu, Ulsan 44776, KoreaSchool of Industrial Engineering, University of Ulsan, Ulsan 44610, KoreaToday’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.https://www.mdpi.com/2071-1050/13/16/8980RPArobotic process automationsoftware robotsprocess miningtask miningevent log
collection DOAJ
language English
format Article
sources DOAJ
author Daehyoun Choi
Hind R’bigui
Chiwoon Cho
spellingShingle Daehyoun Choi
Hind R’bigui
Chiwoon Cho
Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
Sustainability
RPA
robotic process automation
software robots
process mining
task mining
event log
author_facet Daehyoun Choi
Hind R’bigui
Chiwoon Cho
author_sort Daehyoun Choi
title Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
title_short Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
title_full Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
title_fullStr Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
title_full_unstemmed Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation
title_sort candidate digital tasks selection methodology for automation with robotic process automation
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description Today’s business environments face rapid digital transformation, engendering the continuous emerging of new technologies. Robotic Process Automation (RPA) is one of the new technologies rapidly and increasingly grabbing the attention of businesses. RPA tools allow mimicking human tasks by providing a virtual workforce, or digital workers in the form of software bots, for automating manual, high-volume, repetitive, and routine tasks. The goal is to allow human workers to delegate their tedious routine tasks to a software bot, thus allowing them to focus on more difficult tasks. RPA tools are simple and very powerful, according to cost-saving and other performance metrics. However, the main challenge of RPA implementation is to effectively determine the business tasks suitable for automation. This paper provides a methodology for selecting candidate tasks for robotic process automation based on user interface logs and process mining techniques.
topic RPA
robotic process automation
software robots
process mining
task mining
event log
url https://www.mdpi.com/2071-1050/13/16/8980
work_keys_str_mv AT daehyounchoi candidatedigitaltasksselectionmethodologyforautomationwithroboticprocessautomation
AT hindrbigui candidatedigitaltasksselectionmethodologyforautomationwithroboticprocessautomation
AT chiwooncho candidatedigitaltasksselectionmethodologyforautomationwithroboticprocessautomation
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