New Orleans, Louisiana
June 26, 2016
June 26, 2016
June 29, 2016
978-0-692-68565-5
2153-5965
Manufacturing
Diversity
11
10.18260/p.26270
https://peer.asee.org/26270
645
Yanqing Gao is an associate professor in the Mechanical, Manufacturing Engineering and Technology Department at Oregon Institute of Technology. She received a PhD degree from the University of Arizona, and MS degrees from the Arizona University and Southern Illinois University respectively. She was a visiting assistant professor in Transportation Active Safety Institute (TASI) at Indiana Purdue University Indianapolis and a researcher and adjunct assistant professor in University of Arizona.
Xisong Dong received the B. Sc. degree in applied mathematics in 2001 and Ph. D. degree in control theory and control engineering in 2007 from the University of Science and Technology Beijing, China. He worked as a post-doctor at the Center of Information Security from 2007 to 2010 in Beijing University of Posts and Communications, China. He is currently an Assistant Professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, and Qingdao Academy of Intelligent Industries. He has participated more than 30 academic or technical projects funded by Chinese 973, 863, NSFC, etc. He has authored more than 60 papers. His interests include the modeling and analysis of complex systems, as well as intelligent transportation system (ITS).
Xiwei Liu, Associate Professor of Engineering at the state key laboratory of management and control for complex systems, institute of automation, Chinese academy of sciences. He received the Ph.D. degree at Nara Institute of Science and Technology, Japan in 2006. His research interest covers intelligent education systems, human factor engineering, sensor network, modeling and control of complex systems, management information system.
ShuangShuang Li is an assistant research scientist with the State Key Laboratory of Management and Control for Complex Systems, and Qingdao Academy of Intelligent Industries, Chinese Academy of Sciences, China. He received the B.Eng. degree in automation from Hangzhou Dianzi University, Hangzhou, China, the M. Eng. degree in control theory and control engineering from Zhejiang University, Hangzhou, and the Ph.D. degree in technology of computer applications with the State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China, in 2007, 2010 and 2013, respectively. His research interests include recommendation of multi-agent control systems, high-performance computing, traffic flow prediction, 3D printing, social manufacturing and data mining. Contact him at shuangshuang.li@ia.ac.cn.
CDIO is an innovative educational framework for producing the new generation of engineers by providing students with engineering and business fundamentals in the context of Conceiving-Designing-Implementing-Operating real-world systems and products. Social manufacturing is an emerging form of making and marketing customized products by 3D printers and crowdsourcing in cyberspace. A CDIO-based Social Manufacturing Laboratory (CDIO-SML) that integrates 3D printing techniques for additive manufacturing and e-commerce for marketing has been developed and described in this paper. The lab consists of five platforms for 1) teaching integration, 2) requirement acquisition, 3) interactive design and innovation, 4) manufacturing and production processes, 5) cyberspace-based marketing and operations. Those five platforms facilitate product development from the requirement, design, manufacturing, marketing, to services. Each student participates in the whole process of the product life cycle and plays the roles of 1) conceiver, 2) product designer, 3) process implementer, and 4) system operator. Multiple teams are allowed to design and make multiple products in the lab simultaneously. And, the training objectives of CDIO-based Social Manufacturing Courses (CDIO-SMC) based on CDIO-SML are described in detail. Finally, an application case of unmanned aerial aircraft training is drawn out. The lab is a typical cyber-physical-social system (CPSS) that enables students to hand on and experience the entire process of collecting product requirement, conceiving, designing, developing, manufacturing, and marketing, and providing product services of pre-sale, in-sale, and after-sale stages.
Gao, Y., & Wang, F., & Sun, W., & Dong, X., & Liu, X., & Li, S. (2016, June), A CDIO-Based Social Manufacturing Laboratory: Prototype for CPSS-Based Production Processes Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26270
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