Dr. Hong-Ning Dai, Associate Professor at the Faculty of Information Technology of Macau University of Science and Technology, recently published an academic paper entitled “Artificial Intelligence Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges” (https://doi.org/10.1109/JPROC.2020.3034808) in the Proceedings of the IEEE, whose latest impact factor (IF) of 10.252 makes it a top-tier international journal. The paper ranked 8 among 266 journals in the area of Engineering Electrical and Electronics, and ranked A in China Computer Federation (CCF). It is also the first paper that has been published in this journal from Macao SAR in the past decade. The Proceedings of the IEEE has a rich and long history that can be traced back to its early beginnings in 1913. As the leading journal in IEEE, the journal serves as a trusted resource for engineers around the world.
This article focuses on the implementation of Artificial Intelligence (AI) in customized manufacturing (CM) in industry 4.0. The architecture of an AI-driven customized smart factory is presented to address emerging challenges in CM. The state-of-the-art AI technologies of potential use in CM, i.e., machine learning, multi-agent systems, Internet of Things, big data, and cloud-edge computing, are surveyed and integrated into the proposed architecture. This paper was supported in part by the Macao Science and Technology Development Fund under Macao Funding Scheme for Key R & D Projects (0025/2019/AKP). Dr. Dai is the corresponding author of this article.
AI-driven customized manufacturing [excerpted from this published paper]
The Faculty of Information Technology is one of the four founding faculties of Macau University of Science and Technology. All faculty members’ efforts lead to outstanding achievements in top-tier journals. According to the Times Higher Education World University Ranking by subject, M.U.S.T. ranked at 101-125 for computer science. The release of “Essential Science Indicators (ESI)” on May 9, 2019, by Clarivate Analytics (former Thomson Reuters) reveals that the Engineering field of M.U.S.T. had joined the rank of the top 1% among universities and research institutes across the world in the relevant area for the first time.
