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A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
Ng,Kam K.H.1,2; Chen,Chun Hsien1; Lee,C. K.M.3; Jiao,Jianxin (Roger)4; Yang,Zhi Xin5
2021
Source PublicationAdvanced Engineering Informatics
ISSN1474-0346
Volume47
AbstractWith the recent developments in robotic process automation (RPA) and artificial intelligence (AI), academics and industrial practitioners are now pursuing robust and adaptive decision making (DM) in real-life engineering applications and automated business workflows and processes to accommodate context awareness, adaptation to environment and customisation. The emerging research via RPA, AI and soft computing offers sophisticated decision analysis methods, data-driven DM and scenario analysis with regard to the consideration of decision choices and provides benefits in numerous engineering applications. The emerging intelligent automation (IA) – the combination of RPA, AI and soft computing – can further transcend traditional DM to achieve unprecedented levels of operational efficiency, decision quality and system reliability. RPA allows an intelligent agent to eliminate operational errors and mimic manual routine decisions, including rule-based, well-structured and repetitive decisions involving enormous data, in a digital system, while AI has the cognitive capabilities to emulate the actions of human behaviour and process unstructured data via machine learning, natural language processing and image processing. Insights from IA drive new opportunities in providing automated DM processes, fault diagnosis, knowledge elicitation and solutions under complex decision environments with the presence of context-aware data, uncertainty and customer preferences. This sophisticated review attempts to deliver the relevant research directions and applications from the selected literature to the readers and address the key contributions of the selected literature, IA's benefits, implementation considerations, challenges and potential IA applications to foster the relevant research development in the domain.
KeywordAdaptive decision making Artificial intelligence Innovative robotic process automation Intelligent automation
DOI10.1016/j.aei.2021.101246
URLView the original
Language英语
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Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorLee,C. K.M.
Affiliation1.School of Mechanical and Aerospace Engineering,Nanyang Technological University,Singapore,50 Nanyang Avenue,639798,Singapore
2.Interdisciplinary Division of Aeronautical and Aviation Engineering,The Hong Kong Polytechnic University,Hung Hom,Hong Kong
3.Department of Industrial and Systems Engineering,The Hong Kong Polytechnic University,Hung Hom,Hong Kong
4.School of Mechanical Engineering,Georgia Institute of Technology,Atlanta,United States
5.State Key Laboratory of Internet of Things for Smart City,Department of Electromechanical Engineering,Faculty of Science and Technology,University of Macau,Macao,China
Recommended Citation
GB/T 7714
Ng,Kam K.H.,Chen,Chun Hsien,Lee,C. K.M.,et al. A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives[J]. Advanced Engineering Informatics,2021,47.
APA Ng,Kam K.H.,Chen,Chun Hsien,Lee,C. K.M.,Jiao,Jianxin ,&Yang,Zhi Xin.(2021).A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives.Advanced Engineering Informatics,47.
MLA Ng,Kam K.H.,et al."A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives".Advanced Engineering Informatics 47(2021).
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