INCORPORATING SOCIAL PRODUCT DEVELOPMENT IN DISTRIBUTED COLLABORATIVE DESIGN EDUCATION

Over the past few years, Social Product Development (SPD) has emerged as a new trend to improve traditional engineering design and product realization processes. SPD involves the concepts of crowdsourcing, mass collaboration, customer co-creation, and most recently cloud-based design and manufacturing. One of the key characteristics of SPD is to apply social computing techniques (e.g., social networking sites and online communities) to support different phases of product realization processes. In line with this trend, our objective is to help our students become familiar with this paradigm shift and learn how to solve engineering design problems in a distributed and collaborative setting. Consequently, we have experimented with introducing some aspects of SPD into one of our graduate level engineering design courses. In this paper, we (1) introduce a SPD process that is implemented in the course, (2) present a case study from one of the design teams, and (3) share our experience and lessons with respect to the implementation of the SPD process.

[1]  Dazhong Wu,et al.  Customer Co-design of Computer Mouse for Mass Customization without Causing Mass Confusion , 2010, 2010 International Conference on Manufacturing Automation.

[2]  Johannes Moskaliuk,et al.  "Actually, I Wanted to Learn": Study-related knowledge exchange on social networking sites , 2012, Internet High. Educ..

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

[4]  Daren C. Brabham.  Crowdsourcing the Public Participation Process for Planning Projects , 2009 .

[5]  F. Piller,et al.  From Social Media to Social Product Development: The Impact of Social Media on Co-Creation of Innovation , 2012 .

[6]  Jeff Howe,et al.  Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business , 2008, Human Resource Management International Digest.

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

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

[9]  László Monostori,et al.  Agent-based systems for manufacturing , 2006 .

[10]  Wenji Mao,et al.  Social Computing: From Social Informatics to Social Intelligence , 2007, IEEE Intell. Syst..

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

[12]  Weiming Shen,et al.  Towards a cooperative distributed manufacturing management framework , 2005, Comput. Ind..

[13]  Glen L. Urban,et al.  Lead User Analyses for the Development of New Industrial Products , 1988 .

[14]  Seppo Pohjolainen,et al.  Students’ Motivations for Social Media Enhanced Studying and Learning , 2010 .

[15]  Tim O'Reilly,et al.  What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software , 2007 .

[16]  Jitesh H. Panchal,et al.  Fostering Collaborative Learning and Educational Mass Customization in a Graduate Level Engineering Design Course , 2009 .

[17]  Nada Dabbagh,et al.  Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning , 2012, Internet High. Educ..

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

[19]  Xuan F. Zha,et al.  A knowledge intensive multi-agent framework for cooperative/collaborative design modeling and decision support of assemblies , 2002, Knowl. Based Syst..

[20]  George Q. Huang,et al.  Web-based morphological charts for concept design in collaborative product development , 1999, J. Intell. Manuf..

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