James Xiaoyu Gao

Prof. James Xiaoyu Gao

School of Engineering, Faculty of Engineering and Science, University of Greenwich, Kent ME4 4TB, UK
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 April 2007 in Research in Engineering Design
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Journal Article
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DBDavid Ian Baxter
David Ian Baxter
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao
KCKeith Case
Keith Case
JHJenny Harding
Jenny Harding
BYBob Young
Bob Young
SDShilpa Dani
Shilpa Dani

1 August 2017 in Composites Part B: Engineering
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Journal Article
Closed access
Nanya LiNanya Li
Nanya Li
YLYingguang Li
Yingguang Li
JJJohn Jelonnek
John Jelonnek
GLGuido Link
Guido Link
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao

18 February 2017 in The International Journal of Advanced Manufacturing Technology
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Journal Article
Open access
PDF file
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao
ABAlain Bernard
Alain Bernard
This paper provides an overview of some of the issues in knowledge management related to the sharing of knowledge in new product development. Previous research and concepts reported by international researchers and examples of the research projects carried out by the authors will be introduced. The paper first provides an overview of the history and importance of innovation and challenges in manufacturing. Then, the importance of new product development in the sustainable success of manufacturing enterprises in the globalised business operations is discussed. The formalisation and modelling of product development processes will also be introduced. The concept and different definitions of knowledge management by previous researchers are then introduced, with further discussion on knowledge sharing. At this point, the authors’ research in knowledge sharing is also introduced. Finally, the trend of using social media and Enterprise 2 technologies in knowledge management and sharing is introduced using the recent research projects of the authors as examples.

1 April 2018 in Composites Part A: Applied Science and Manufacturing
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Journal Article
Closed access
JZJing Zhou
Jing Zhou
YLYingguang Li
Yingguang Li
Nanya LiNanya Li
Nanya Li
SLShuting Liu
Shuting Liu
LCLibing Cheng
Libing Cheng
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao

1 August 2019 in Robotics and Computer-Integrated Manufacturing
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Journal Article
Closed access
SWShan Wan
Shan Wan
DLDongbo Li
Dongbo Li
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao
JLJing Li
Jing Li

19 May 2011 in International Journal of Computer Integrated Manufacturing
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Journal Article
Closed access
GFGenyuan Fei
Genyuan Fei
James Xiaoyu GaoJames Xiaoyu Gao
James Xiaoyu Gao
OOOladele Owodunni
Oladele Owodunni
XTXiaoqing Tang
Xiaoqing Tang
Engineering design change management is very important to the success of engineering product development. It has been recognised that the earlier change issues are addressed, the greater product lifecycle costs can be saved. However, in practice, most engineering changes happen in the manufacturing phase, the later phase of product development. Change issues happening in the design phase, especially between the functional and the structural domains, have been a research focus in recent years, and thus there is significant research work that has been carried out to resolve early engineering change issues from different perspectives. This article presents a novel methodology that has been developed to help designers trace, analyse and evaluate engineering changes occurring in the product design phase. A modelling method is employed to enhance the traceability of potential design changes occurred between the functional and structural domains of design. Based on functional and physical models, a matrix-based method is developed to analyse change propagations between components and help find out design conflicts arising from design changes. A knowledge-based method has been proposed to resolve design conflicts by reusing previous design change knowledge. An industrial example about changes of a wind turbine cooling system has been used to help understand the methodology and prove its usefulness.