Cloud-based design and manufacturing systems: A social network analysis

A Cloud-Based Design and Manufacturing (CBDM) System refers to an information and communication technology (ICT) system that facilitates design and manufacturing knowledge sharing between actors (e.g., CBDM service providers and consumers) in the distributed and collaborative socio-technical network. The aim of this study is to address the challenge of information sharing and technical communication during the CBDM product development process. Specifically, we model a CBDM system as a socio-technical network. The research questions are: (1) What measures can be used to analyze the socio-technical network generated by CBDM? (2) How to detect communities/clusters and key actors in the socio-technical network? To answer these questions, a social network analysis (SNA) approach is formulated to analyze the socio-technical network generated by CBDM systems. The results indicate that SNA allows for visualizing collaborative relationship patterns of actors as well as detecting the community structure of CBDM systems.

[1]  Dazhong Wu,et al.  DISTRIBUTED COLLABORATIVE DESIGN AND MANUFACTURE IN THE CLOUD — MOTIVATION, INFRASTRUCTURE, AND EDUCATION , 2012 .

[2]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[3]  Jacob L. Moreno,et al.  Statistics of Social Configurations , 1938 .

[4]  Ben Shneiderman,et al.  Analyzing Social Media Networks with NodeXL: Insights from a Connected World , 2010 .

[5]  Jaideep Srivastava,et al.  Impact of social influence in e-commerce decision making , 2007, ICEC.

[6]  Eric von Hippel,et al.  Finding Commercially Attractive User Innovations: A Test of Lead User Theory , 2005 .

[7]  S. Borgatti,et al.  On Social Network Analysis in a Supply Chain Context , 2009 .

[8]  S. Borgatti,et al.  On Social Network Analysis in a Supply Chain Context , 2009 .

[9]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[12]  S. D. Berkowitz,et al.  Social Structures: A Network Approach , 1989 .

[13]  Nik Rushdi Hassan,et al.  Using Social Network Analysis to Measure IT-Enabled Business Process Performance , 2009, Inf. Syst. Manag..

[14]  R HassanNik.  Using Social Network Analysis to Measure IT-Enabled Business Process Performance , 2009 .

[15]  Dazhong Wu,et al.  TOWARDS A CLOUD-BASED DESIGN AND MANUFACTURING PARADIGM: LOOKING BACKWARD, LOOKING FORWARD , 2012 .

[16]  C. Haythornthwaite.  Social network analysis: An approach and technique for the study of information exchange☆ , 1996 .

[17]  Andrea Lancichinetti,et al.  Detecting the overlapping and hierarchical community structure in complex networks , 2008, 0802.1218.

[18]  Crispin Hales,et al.  Engineering design: a systematic approach , 1989 .

[19]  Jennifer Neville,et al.  Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning , 2002, ICML.

[20]  Mark S. Granovetter.  The Strength of Weak Ties , 1973, American Journal of Sociology.

[21]  Kate Ehrlich,et al.  SmallBlue: People Mining for Expertise Search , 2008, IEEE MultiMedia.

[22]  S. D. Berkowitz,et al.  Social Structures: A Network Approach , 1989 .

[23]  Xun Xu,et al.  From cloud computing to cloud manufacturing , 2012 .

[24]  Dazhong Wu,et al.  Cloud Manufacturing: Drivers, Current Status, and Future Trends , 2013 .

[25]  Fei Tao,et al.  Cloud manufacturing: a computing and service-oriented manufacturing model , 2011 .

[26]  Bernardo A. Huberman,et al.  E-Mail as Spectroscopy: Automated Discovery of Community Structure within Organizations , 2005, Inf. Soc..

[27]  Dan Braha,et al.  Information flow structure in large-scale product development organizational networks , 2004, J. Inf. Technol..

[28]  Masaru Kitsuregawa,et al.  A Graph Based Approach to Extract a Neighborhood Customer Community for Collaborative Filtering , 2002, DNIS.

[29]  Detlef Schoder,et al.  Web Science 2.0: Identifying Trends through Semantic Social Network Analysis , 2008, 2009 International Conference on Computational Science and Engineering.

[30]  H. V. Jagadish,et al.  Algorithms for Searching Massive Graphs , 1994, IEEE Trans. Knowl. Data Eng..

[31]  Wolfgang Beitz,et al.  Engineering Design: A Systematic Approach , 1984 .