A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. (January 2021)
- Record Type:
- Journal Article
- Title:
- A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives. (January 2021)
- Main Title:
- A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
- Authors:
- Ng, Kam K.H.
Chen, Chun-Hsien
Lee, C.K.M.
Jiao, Jianxin (Roger)
Yang, Zhi-Xin - Abstract:
- Abstract: With 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. ThisAbstract: With 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. … (more)
- Is Part Of:
- Advanced engineering informatics. Volume 47(2021)
- Journal:
- Advanced engineering informatics
- Issue:
- Volume 47(2021)
- Issue Display:
- Volume 47, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 47
- Issue:
- 2021
- Issue Sort Value:
- 2021-0047-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Intelligent automation -- Innovative robotic process automation -- Artificial intelligence -- Adaptive decision making
Computer-aided engineering -- Periodicals
Engineering -- Data processing -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14740346 ↗
http://books.google.com/books?id=KhFVAAAAMAAJ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aei.2021.101246 ↗
- Languages:
- English
- ISSNs:
- 1474-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.851100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15850.xml