Điều gì khiến sản xuất cần ứng dụng của Trí tuệ nhân tạo? Trí tuệ nhân tạo hay trí thông minh nhân tạo (Artificial intelligence - viết tắt là AI) là một ngành thuộc lĩnh vực khoa học máy tính (Computer science). Là trí tuệ do con người lập trình tạo nên với mục tiêu giúp máy tính có thể tự động hóa các hành vi thông minh như con người.

Để hiểu rõ hơn Cục Thông tin KH&CN quốc gia xin giới thiệu một số bài nghiên cứu đã được xuất bản chính thức và các bài viết được chấp nhận đăng trên những cơ sở dữ liệu học thuật chính thống.

1. Springer

1. Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

Sung Wook Kim, Jun Ho Kong, Sang Won Lee… in International Journal of Precision Enginee… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs12541-021-00600-3.pdf

2. Applications of artificial intelligence in engineering and manufacturing: a systematic review

Isaac Kofi Nti, Adebayo Felix Adekoya… in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10845-021-01771-6.pdf

3. Fiber Reinforced Composite Manufacturing With the Aid of Artificial Intelligence - A State-of-the-Art Review

M. Priyadharshini, D. Balaji… in Archives of Computational Methods in Engin… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs11831-022-09775-y.pdf

4. Intelligent manufacturing management system based on data mining in artificial intelligence energy-saving resources

Yuan Guo, Weitang Zhang, Qiang Qin, Keqiong Chen, Yun Wei in Soft Computing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00500-021-06593-5.pdf

5. Artificial intelligence enabled smart machining and machine tools

Yu Sung Chuo, Ji Woong Lee, Chang Hyeon Mun… in Journal of Mechanical Science and Technolo… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs12206-021-1201-0.pdf

6. Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises

Garrel von Joerg, Jahn Carlos in Journal of the Knowledge Economy (2022)

https://link.springer.com/content/pdf/10.1007%2Fs13132-022-01003-z.pdf

7. Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0

Petar Radanliev, David De Roure… in International Journal of Intelligent Robot… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs41315-021-00180-5.pdf

8. Cloud Technology and the Digital Transformation of Manufacturing

R. S. Golov, V. V. Myl’nik in Russian Engineering Research (2022)

https://link.springer.com/content/pdf/10.3103%2FS1068798X22040128.pdf

9. Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Yang Fu, Gang Zhu, Mingliang Zhu, Fuzhen Xuan in Chinese Journal of Mechanical Engineering (2022)

https://link.springer.com/content/pdf/10.1186%2Fs10033-022-00760-x.pdf

10. Risk as a driver for AI framework development on manufacturing

Eduardo Vyhmeister, Gabriel Gonzalez-Castane, P.-O. Östbergy in AI and Ethics (2022)

https://link.springer.com/content/pdf/10.1007%2Fs43681-022-00159-3.pdf

11. Multi-system fusion based on deep neural network and cloud edge computing and its application in intelligent manufacturing

Linyuan Fan, Liang Zhang in Neural Computing and Applications (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00521-021-05735-y.pdf

12. Digital twin framework for reconfigurable manufacturing systems (RMSs): design and simulation

Jesus Kombaya Touckia, Nadia Hamani… in The International Journal of Advanced Manu… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00521-021-05735-y.pdf

13. A Smart system in Manufacturing with Mass Personalization (S-MMP) for blueprint and scenario driven by industrial model transformation

Xianyu Zhang, Xinguo Ming in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10845-021-01883-z.pdf

14. Review on R&D task integrated management of intelligent manufacturing equipment

Teng Ren, Tianyu Luo, Shuxuan Li, Lining Xing… in Neural Computing and Applications (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00521-022-07023-9.pdf

15. Developing a digital transformation process in the manufacturing sector: Egyptian case study

Yasser Omar Abdallah, Essam Shehab… in Information Systems and e-Business Managem… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10257-022-00558-3.pdf

16. Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Chenxi Yuan, Guoyan Li, Sagar Kamarthi… in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10845-021-01885-x.pdf

17. Construction of intelligent integrated model framework for the workshop manufacturing system via digital twin

Zhongyu Zhang, Zhenjie Zhu, Jinsheng Zhang… in The International Journal of Advanced Manu… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00170-021-08171-3.pdf

18. Knowledge-embedded machine learning and its applications in smart manufacturing

Farzam Farbiz, Mohd Salahuddin Habibullah… in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1208%2Fs12248-022-00706-0.pdf

19. Industrial network-based behavioral anomaly detection in AI-enabled smart manufacturing

HyunJin Kim, Taeshik Shon in The Journal of Supercomputing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs11227-022-04408-4.pdf

20. Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review

Brigitta Nagy, Dorián László Galata, Attila Farkas… in The AAPS Journal (2022)

https://link.springer.com/content/pdf/10.1208%2Fs12248-022-00706-0.pdf

21. Machine learning and deep learning based predictive quality in manufacturing: a systematic review

Hasan Tercan, Tobias Meisen in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10845-022-01963-8.pdf

22. Examining the impact of deep learning technology capability on manufacturing firms: moderating roles of technology turbulence and top management support

Sheshadri Chatterjee, Ranjan Chaudhuri, Demetris Vrontis… in Annals of Operations Research (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10479-021-04505-2.pdf

23. Improving Manufacturing Applications of Machine Learning by Understanding Defect Classification and the Critical Error Threshold

David Blondheim Jr in International Journal of Metalcasting (2022)

https://link.springer.com/content/pdf/10.1007%2Fs40962-021-00637-0.pdf

24. An intelligent manufacturing cell based on human–robot collaboration of frequent task learning for flexible manufacturing

Shuai Zhang, Shiqi Li, Haipeng Wang, Xiao Li in The International Journal of Advanced Manu… (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00170-022-09005-6.pdf

25. Methodological development for the optimisation of electricity cost in cement factories: the use of artificial intelligence in process variables

Manuel Parejo Guzmán, Benito Navarrete Rubia, Pedro Mora Peris… in Electrical Engineering (2022)

https://link.springer.com/content/pdf/10.1007%2Fs00202-021-01409-z.pdf

26. Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures

Haochen Mu, Joseph Polden, Yuxing Li, Fengyang He… in Journal of Intelligent Manufacturing (2022)

https://link.springer.com/content/pdf/10.1007%2Fs10845-022-01920-5.pdf

2. Sciendirect

1. Application of artificial intelligence technology in the manufacturing process and purchasing and supply management

Procedia Computer Science 8 March 2022 Volume 200 (Cover date: 2022) Pages 1209-1217

Mito Kehayov, Lukas Holder, Volker Koch

https://www.sciencedirect.com/science/article/pii/S1877050922003301/pdfft?md5=d5f94798ba15c3c29c8948809acd1803&pid=1-s2.0-S1877050922003301-main.pdf

2. Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence

Energy and AI 1 December 2021 Volume 7 (Cover date: January 2022) Article 100129

Mona Faraji Niri, Kailong Liu, James Marco

https://www.sciencedirect.com/science/article/pii/S2666546821000768/pdfft?md5=ed6b6742f9ab33efb54a64ecf9f912b8&pid=1-s2.0-S2666546821000768-main.pdf

3. Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives

Journal of Materials Processing Technology 29 December 2021 Volume 302 (Cover date: April 2022) Article 117485

Mojtaba Mozaffar, Shuheng Liao, Zhengtao Gan

https://www.sciencedirect.com/science/article/pii/S0924013621004453/pdfft?md5=20a9eef064867e72733e1bdbed8efe66&pid=1-s2.0-S0924013621004453-main.pdf

4. Artificial intelligence: way forward to empower metal additive manufacturing product development – an overview

Materials Today: Proceedings 4 March 2022 Volume 58, Part 1 (Cover date: 2022) Pages 461-465

Joe Elambasseril, Milan Brandt

https://www.sciencedirect.com/science/article/pii/S2214785322011415/pdfft?md5=7d0d1f09a00fc9483a4d695dbd40489d&pid=1-s2.0-S2214785322011415-main.pdf

5. A review on role of artificial intelligence in food processing and manufacturing industry

Materials Today: Proceedings 14 December 2021 Volume 51, Part 8 (Cover date: 2022) Pages 2462-2465

Edwin Ramirez-Asis, Juan Vilchez-Carcamo, Mohd Naved

https://www.sciencedirect.com/science/article/pii/S2214785321076343/pdfft?md5=5fa4a19dcc7dd980cac50abafb550b00&pid=1-s2.0-S2214785321076343-main.pdf

6. Artificial intelligence-driven thermal design for additively manufactured reactor cores

Nuclear Engineering and Design 27 June 2022 Volume 395 (Cover date: 15 August 2022) Article 111862

Emilian Popov, Richard Archibald, Vladimir Sobes

https://www.sciencedirect.com/science/article/pii/S0029549322002163/pdfft?md5=e53d35b2516b5807034307ce6049ef35&pid=1-s2.0-S0029549322002163-main.pdf

7. Artificial intelligence framework for MSME sectors with focus on design and manufacturing industries

Materials Today: Proceedings 5 January 2022 Volume 62, Part 13 (Cover date: 2022) Pages 6962-6966

Paawan Sharma, Jigarkumar Shah, Reema Patel

https://www.sciencedirect.com/science/article/pii/S2214785321081013/pdfft?md5=aaacde7146c1b764d1e9ba1c73548166&pid=1-s2.0-S2214785321081013-main.pdf

8. A Proposed Methodology to Automate the software manufacturing through Artificial Intelligence (AI)

Procedia Computer Science 27 April 2022 Volume 201 (Cover date: 2022) Pages 627-631

Mohamed El Ayadi, Yassine Rhazali, Mohammed Lahmer

https://www.sciencedirect.com/science/article/pii/S1877050922004951/pdfft?md5=bf635ee82257a48435a375099668247d&pid=1-s2.0-S1877050922004951-main.pdf

9. Special Issue on Artificial Intelligence in Advanced Manufacturing Processes (AiAMP)

Journal of Materials Processing Technology 6 April 2022 Volume 306 (Cover date: August 2022) Article 117592

Kunpeng Zhu, Yongjie Jessica Zhang, Erman Tekkaya

https://www.sciencedirect.com/science/article/pii/S0924013622001042/pdfft?md5=9385d674b27639ce6879dec0bdf2fb26&pid=1-s2.0-S0924013622001042-main.pdf

10. Semantic artificial intelligence for smart manufacturing automation

Robotics and Computer-Integrated Manufacturing 4 March 2022 Volume 77 (Cover date: October 2022) Article 102333

Yuqian Lu, Lihui Wang, Farhad Ameri

https://www.sciencedirect.com/science/article/pii/S0736584522000229/pdfft?md5=8fca1784e7505ff626a07ba29e64ab97&pid=1-s2.0-S0736584522000229-main.pdf

11. Artificial Intelligence in Laser Powder Bed Fusion Procedures – Neural Networks for Live-Detection and Forecasting of Printing Failures.

Procedia CIRP 26 May 2022 Volume 107 (Cover date: 2022), Pages 1367-1372

Markus Bauer, Christoph Augenstein, Oliver Theile

https://www.sciencedirect.com/science/article/pii/S2212827122004437/pdfft?md5=19ee270031696b7b58761a4d1885a734&pid=1-s2.0-S2212827122004437-main.pdf

12. Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)

Information Fusion 29 November 2021,Volume 81 (Cover date: May 2022) Pages 91-102

Jože M. Rožanec, Blaž Fortuna, Dunja Mladenić

https://www.sciencedirect.com/science/article/pii/S1566253521002414/pdfft?md5=5226ecd8a0de7702d7522899c2255041&pid=1-s2.0-S1566253521002414-main.pdf

13. Artificial intelligence techniques for implementation of intelligent machining

Materials Today: Proceedings 7 December 2021 Volume 56, Part 4 (Cover date: 2022) Pages 1947-1955

Abdul Wahab Hashmi, Harlal Singh MaliSiti Nadiah binti Mohd Saffe

https://www.sciencedirect.com/science/article/pii/S2214785321072771/pdfft?md5=f820e38267a8d9e6dbb38bae59e52266&pid=1-s2.0-S2214785321072771-main.pdf

14. Future prospects of computer-aided design (CAD) – A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing

Results in Engineering 7 June 2022 Volume 14 (Cover date: June 2022) Article 100478

Bonsa Regassa Hunde, Abraham Debebe Woldeyohannes

https://www.sciencedirect.com/science/article/pii/S2590123022001487/pdfft?md5=093c0741ca7d28467823fe6bf923cea7&pid=1-s2.0-S2590123022001487-main.pdf

15. Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges

Expert Systems with Applications Available online 3 July 2022 In press, journal pre-proof Article 118002

Jeevan S. Devagiri, Sidike Paheding, Samantha Smith

https://www.sciencedirect.com/science/article/pii/S0957417422012246/pdfft?md5=fa6effdbd543016d8d864cf2933283f5&pid=1-s2.0-S0957417422012246-main.pdf

16. Artificial General Intelligence vs. Industry 4.0: Do They Need Each Other?

Procedia Computer Science 8 March 2022 Volume 200 (Cover date: 2022) Pages 140-150

Samu Kumpulainen, Vagan Terziyan

https://www.sciencedirect.com/science/article/pii/S1877050922002228/pdfft?md5=facd4a82ed4bd9cd1b3c54d36245960a&pid=1-s2.0-S1877050922002228-main.pdf

17. Artificial intelligence in industrial design: A semi-automated literature survey

Engineering Applications of Artificial Intelligence 23 April 2022 Volume 112 (Cover date: June 2022) Article 104884

Y. P. Tsang, C. K. M. Lee

https://www.sciencedirect.com/science/article/pii/S0952197622001269/pdfft?md5=1f990239d92cdfbd469d56f42639fe61&pid=1-s2.0-S0952197622001269-main.pdf

18. Smart materials: rational design in biosystems via artificial intelligence

Trends in Biotechnology Available online 28 February 2022 In press, corrected proof

Kutay Sagdic, Ismail EşFatih Inci

https://www.sciencedirect.com/science/article/pii/S0167779922000051/pdfft?md5=e9fceaa5e14c7840324955cd7b86e417&pid=1-s2.0-S0167779922000051-main.pdf

19. Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data

Applied Energy 4 April 2022 Volume 315 (Cover date: 1 June 2022) Article 118943

Chika Maduabuchi

https://www.sciencedirect.com/science/article/pii/S0306261922003622/pdfft?md5=2b96723ca498bac7ac59c45455bb4818&pid=1-s2.0-S0306261922003622-main.pdf

20. Review and analysis of artificial intelligence methods for demand forecasting in supply chain management

Procedia CIRP 26 May 2022 Volume 107 (Cover date: 2022) Pages 1126-1131

Mario Angos Mediavilla, Fabian Dietrich, Daniel Palm

https://www.sciencedirect.com/science/article/pii/S2212827122004036/pdfft?md5=f109bc8df5b4e7e699827e17e696e3c5&pid=1-s2.0-S2212827122004036-main.pdf

21. A systematic review of artificial intelligence in the detection of cutting tool breakage in machining operations

Measurement 21 January 2022 Volume 190 (Cover date: 28 February 2022) Article 110748

Wenchao Xiao, Jianghua Huang, Hongchao Ji

https://www.sciencedirect.com/science/article/pii/S0263224122000513/pdfft?md5=750a6cf8e90eab9e39cfdbda1b342bbf&pid=1-s2.0-S0263224122000513-main.pdf

22. Recent advances and applications of artificial intelligence and related technologies in the food industry

Applied Food Research 18 May 2022 Volume 2, Issue 2 (Cover date: December 2022) Article 100126

Mounika Addanki, Priyanka Patra, Prameela Kandra

https://www.sciencedirect.com/science/article/pii/S2772502222000865/pdfft?md5=04163b27d9bd0f22ff8c13d1e0eee9e2&pid=1-s2.0-S2772502222000865-main.pdf

23. From real to virtual sensors, an artificial intelligence approach for the industrial phase of end-of-line quality control of GDI pumps

Measurement 7 July 2022 Volume 199 (Cover date: August 2022) Article 111583

Luca Petrucci, Federico Ricci, Alessandro Mariani

https://www.sciencedirect.com/science/article/pii/S0263224122007965/pdfft?md5=b5fead011b914d764cf63bcd8da1b8a0&pid=1-s2.0-S0263224122007965-main.pdf

24. Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives

Materials Today: Proceedings 6 May 2022 Volume 62, Part 6 (Cover date: 2022) Pages 4207-4214

Sayed Suhaib Kamran, Abid Haleem, Dharam Budhhi

https://www.sciencedirect.com/science/article/pii/S2214785322028954/pdfft?md5=ce96a0480aad6b2a5179162f28b838e6&pid=1-s2.0-S2214785322028954-main.pdf

25. Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Automation in Construction 24 June 2022 Volume 141 (Cover date: September 2022) Article 104440

Shanaka Kristombu Baduge, Sadeep Thilakarathna, Priyan Mendis

https://www.sciencedirect.com/science/article/pii/S0926580522003132/pdfft?md5=33d67ab6fbf1391ef2f0e772a206275a&pid=1-s2.0-S0926580522003132-main.pdf

26. Evaluating the mechanical strength prediction performances of fly ash-based MPC mortar with artificial intelligence approaches

Journal of Cleaner Production 18 April  2022 Volume 355 (Cover date: 25 June 2022) Article 131815

M. Aminul Haque, Bing Chen, Fazal E. Jalal

https://www.sciencedirect.com/science/article/pii/S0959652622014251/pdfft?md5=6dc81abdc48aaf1216fcb372131ce8a1&pid=1-s2.0-S0959652622014251-main.pdf

27. Artificial intelligence based modelling and multi-objective optimization of vinyl chloride monomer (VCM) plant to strike a balance between profit, energy utilization and environmental degradation

Journal of the Indian Chemical Society 2 December 2021 Volume 99, Issue 1 (Cover date: January 2022) Article 100287

Sucharita Pal, Somnath Chowdhury, Sandip Kumar Lahiri

https://www.sciencedirect.com/science/article/pii/S0019452221002879/pdfft?md5=0c05095b2f0d9fd417f03d8e90016a83&pid=1-s2.0-S0019452221002879-main.pdf

28. Application of artificial intelligence in wearable devices: Opportunities and challenges

Computer Methods and Programs in Biomedicine 17 November 2021 Volume 213 (Cover date: January 2022) Article 106541

Darius Nahavandi, Roohallah Alizadehsani, U Rajendra Acharya

https://www.sciencedirect.com/science/article/pii/S0169260721006155/pdfft?md5=58481d04e10615e13c63fcf2cd2e4790&pid=1-s2.0-S0169260721006155-main.pdf

29. Pipeline leak and volume rate detections through Artificial intelligence and vibration analysis

Measurement 25 October 2021 Volume 187 (Cover date: January 2022) Article 110368

Jaehyun Yang, Hamid Mostaghimi, Simon S. Park

https://www.sciencedirect.com/science/article/pii/S0263224121012628/pdfft?md5=7714cc4f72960a7ba13392689fbfa477&pid=1-s2.0-S0263224121012628-main.pdf

Các công bố về Trí tuệ nhân tạo trước thời gian trên:

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 1/7 đến ngày 8/7/2022

https://www.vista.gov.vn/news/khoa-hoc-doi-song/ung-dung-tri-tue-nhan-tao- trong-y-hoc-cap-nhat-den-ngay-8-7-2022-5212.html

Cập nhật các công bố về Trí tuệ nhân tạo từ ngày 9/7 đến ngày 15/7/2022

https://vista.gov.vn/news/khoa-hoc-doi-song/ung-dung-tri-tue-nhan-tao-trong-  nganh-giao-duc-cap-nhat-tu-2-7-ngay-den-ngay-15-7-2022-5239.html

Cục Thông tin khoa học và công nghệ quốc gia, 22/7/2022