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Title: Assembly planning and evaluation in an augmented reality environment
Authors: Wang, Z.B.
Ng, L.X.
Ong, S.K. 
Nee, A.Y.C. 
Keywords: Augmented reality
Human ergonomics
Manual assembly planning
Issue Date: 1-Nov-2013
Citation: Wang, Z.B., Ng, L.X., Ong, S.K., Nee, A.Y.C. (2013-11-01). Assembly planning and evaluation in an augmented reality environment. International Journal of Production Research 51 (23-24) : 7388-7404. ScholarBank@NUS Repository.
Abstract: Assembly planning is very critical in the product design process. Previously, computer-assisted assembly planning is mostly conducted in either an automated or interactive manner. Automated approaches can only be applied to products with simple component configurations, whereas extensive user input in the tedious form of answering questions is required for interactive approaches. Both kinds of approaches do not address issues related to human factors and ergonomics, which cannot be ignored in assembly planning especially in manual assembly. Using augmented reality technologies, an intuitive and efficient approach is proposed for manual assembly planning and evaluation by combining the potential strengths of the two kinds of approach. An AR-assisted assembly planning and evaluation system has been developed to implement the proposed methodology with the use of a 3D bare-hand interaction (3DBHI) tool. After loading all the parts of an assembly into the proposed system, assembly modelling is first completed through assembly geometrical constraint recognition and assembly location refinement with the use of the proposed 3DBHI tool. By analysing the disassembly process, precedence constraints are captured and used to search for feasible assembly sequences from all possible sequences, which are generated using an existing method. Finally, practical or good sequences are selected from the feasible sequences by exploiting an assembly index based on objective evaluation. A case study is conducted to demonstrate the application of the methodology and system. © 2013 Taylor & Francis.
Source Title: International Journal of Production Research
ISSN: 00207543
DOI: 10.1080/00207543.2013.837986
Appears in Collections:Staff Publications

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