Andrew Y. C. Nee mostly deals with Product design, Augmented reality, Manufacturing engineering, Process and Machining. His Product design research incorporates elements of New product development, Engineering drawing and Systems engineering. His work in the fields of Engineering drawing, such as CAD, overlaps with other areas such as Design systems.
His Augmented reality research is included under the broader classification of Human–computer interaction. His work deals with themes such as Curriculum and Plan, which intersect with Manufacturing engineering. His Machining research integrates issues from Sintering, Simulated annealing, Mathematical optimization and Structural engineering.
Andrew Y. C. Nee mainly focuses on Augmented reality, Engineering drawing, Artificial intelligence, Product design and Machining. The various areas that Andrew Y. C. Nee examines in his Augmented reality study include Multimedia, Simulation and Virtual reality. Andrew Y. C. Nee works mostly in the field of Engineering drawing, limiting it down to topics relating to Fixture and, in certain cases, Clamping.
His research brings together the fields of Computer vision and Artificial intelligence. His Product design research incorporates themes from Product lifecycle, Manufacturing engineering, Process and Systems engineering. Specifically, his work in Manufacturing engineering is concerned with the study of Remanufacturing.
Andrew Y. C. Nee focuses on Augmented reality, Manufacturing engineering, Remanufacturing, Product design and Human–computer interaction. Artificial intelligence covers Andrew Y. C. Nee research in Augmented reality. His biological study spans a wide range of topics, including New product development, Big data and Material selection.
His work carried out in the field of Remanufacturing brings together such families of science as Quality, Process, Product, Decision support system and Component. His Product design research focuses on Product lifecycle and how it relates to Sustainable product development. His study in the field of Usability also crosses realms of Smart shop.
His primary areas of investigation include Product design, Augmented reality, Manufacturing engineering, Remanufacturing and Product. His Product design study combines topics from a wide range of disciplines, such as Algorithm, Mathematical optimization and Selection. His study in Augmented reality is interdisciplinary in nature, drawing from both Scientific visualization and Simulation.
His Manufacturing engineering study integrates concerns from other disciplines, such as Designtheory, Curriculum and Big data. The study incorporates disciplines such as Quality, Production schedule, Product lifecycle, Pareto principle and Process in addition to Remanufacturing. His Energy consumption research includes themes of Engineering drawing and Sequence planning.
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Augmented reality applications in design and manufacturing
A.Y.C. Nee;S.K. Ong;G. Chryssolouris;D. Mourtzis.
CIRP Annals (2012)
Multi‐objective optimization of part‐ building orientation in stereolithography
W. Cheng;J.Y.H. Fuh;A.Y.C. Nee;Y.S. Wong.
Rapid Prototyping Journal (1995)
Digital Twin in Industry: State-of-the-Art
Fei Tao;He Zhang;Ang Liu;A. Y. C. Nee.
IEEE Transactions on Industrial Informatics (2019)
Augmented reality applications in manufacturing: a survey
S. K. Ong;M. L. Yuan;A. Y. C. Nee.
International Journal of Production Research (2008)
Virtual and Augmented Reality Applications in Manufacturing
Andrew Y. C. Nee;Soh-Khim Ong.
Digital twin-driven product design framework
Fei Tao;Fangyuan Sui;Ang Liu;Qinglin Qi.
International Journal of Production Research (2019)
Advanced manufacturing systems: socialization characteristics and trends
F. Tao;Y. Cheng;L. Zhang;A. Y. Nee.
Journal of Intelligent Manufacturing (2017)
A comprehensive survey of augmented reality assembly research
X. Wang;S. K. Ong;A. Y. C. Nee.
Advances in Manufacturing (2016)
Methods for in-field user calibration of an inertial measurement unit without external equipment
W T Fong;S K Ong;A Y C Nee.
Measurement Science and Technology (2008)
Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts
W. D. Li;S. K. Ong;A. Y. C. Nee.
International Journal of Production Research (2002)
International Journal of Advanced Manufacturing Technology
(Impact Factor: 3.563)
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