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Research Papers

Enhancing the Product Realization Process With Cloud-Based Design and Manufacturing Systems

[+] Author and Article Information
Dazhong Wu

The G.W. Woodruff
School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: dwu42@gatech.edu

J. Lane Thames

School of Electrical and Computer Engineering,
Georgia Institute of Technology,
Savannah, GA 31407
e-mail: lane.thames@gatech.edu

David W. Rosen

e-mail: david.rosen@me.gatech.edu

Dirk Schaefer

e-mail: dirk.schaefer@me.gatech.edu
The G.W. Woodruff
School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTERS AND INFORMATION DIVISION IN ENGINEERING. Manuscript received August 21, 2012; final manuscript received July 29, 2013; published online September 12, 2013. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 13(4), 041004 (Sep 12, 2013) (14 pages) Paper No: JCISE-12-1139; doi: 10.1115/1.4025257 History: Received August 21, 2012; Revised July 29, 2013

The rise of cloud computing is radically changing the way enterprises manage their information technology assets. Considering the benefits of cloud computing to the information technology sector, we present a review of current research initiatives and applications of the cloud computing paradigm related to product design and manufacturing. In particular, we focus on exploring the potential of utilizing cloud computing for selected aspects of collaborative design, distributed manufacturing, collective innovation, data mining, semantic web technology, and virtualization. In addition, we propose to expand the paradigm of cloud computing to the field of computer-aided design (CAD) and manufacturing and propose a new concept of cloud-based design and manufacturing (CBDM). Specifically, we (1) propose a comprehensive definition of CBDM; (2) discuss its key characteristics; (3) relate current research in design and manufacture to CBDM; and (4) identify key research issues and future trends.

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References

Figures

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Fig. 1

Research opportunities related to CBDM

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Fig. 2

CBDM conceptual reference model adapted from Ref. [21]

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Fig. 3

CBDM example services

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Fig. 4

System architecture of the DMCloud system

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Fig. 5

Workflow of the DMCloud system [97]

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Fig. 6

Main menu of the DMCloud portal

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Fig. 7

Design and manufacturing module of the DMCloud portal

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