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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

Wu, D., Zhang, L., Jiao, J., and Lu, R., 2011, “SysML-Based Design Chain Information Modeling for Variety Management in Production Reconfiguration,” J. Intell. Manuf., 24(3), pp. 575–596. [CrossRef]
Linthicum, D., 2009, Cloud Computing and SOA Convergence in Your Enterprise: A Step-by-Step Guide, Addison-Wesley Professional, Indianapolis.
Ulrich, K., 2011, “Design is Everything,” J. Prod. Innovation Manag., 28, pp. 394–398. [CrossRef]
Eliashberg, J., and Lilien, G. L., 1993, Handbooks in Operations Research and Management Science: Marketing, Elsevier, Amsterdam.
Lewis, K., Chen, W., and Schmidt, L., 2006, Decision Making in Engineering Design, ASME Press, New York.
Steward, D., 1981, “The Design Structure Matrix: A Method for Managing the Design of Complex Systems,” IEEE Trans. Eng. Manag., 28, pp. 71–74. [CrossRef]
Browning, T. R., 2001, “Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and New Directions,” IEEE Trans. Eng. Manag., 48(3), pp. 292–306. [CrossRef]
Simpson, T. W., Marion, T., De Weck, O., Otto, K. H., Kokkolaras, M., and Shooter, S., 2006, “Platform-Based Design and Development: Current Trends and Needs in Industry,” ASME 2006 International Design Engineering Technical Conference and Computers and Information in Engineering Conference, Philadelphia, DETC2006-99229.
Bras, B., and Mistree, F., 1995, “A Compromise Decision Support Problem for Axiomatic and Robust Design,” ASME J. Mech. Des., 117(1), pp. 10–19. [CrossRef]
Panchal, J. H., Paredis, C. J., Allen, J. K., and Mistree, F., 2009, “Managing Design-Process Complexity: A Value-of-Information Based Approach for Scale and Decision Decoupling,” ASME J. Comput. Inform. Sci. Eng., 9(2), p. 021005. [CrossRef]
Chen, S., and Chen, W., 2011, “A New Level-Set Based Approach to Shape and Topology Optimization Under Geometric Uncertainty,” Struct. Multidiscip. Optim., 44, pp. 1–18. [CrossRef]
Papalambros, P. Y., 2002, “The Optimization Paradigm in Engineering Design: Promises and Challenges,” Comput. Aided Des., 34(2), pp. 939–951. [CrossRef]
Kornish, L. J., and Ulrich, K. T., 2011, “Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas,” Manag. Sci., 57(1), pp. 107–128. [CrossRef]
Rosenkopf, L., and Rushman, M. L., 1998, “The Coevolution of Community Networks and Technology: Lessons From the Flight Simulation Industry,” Ind. Corporate Change, 7, pp. 311–346. [CrossRef]
Piller, F., Schubert, P., Koch, M., and Möslein, K., 2005, “Overcoming Mass Confusion: Collaborative Customer Co-Design in Online Communities,” J. Comput.-Mediat. Commun., 10(4), p. 8–18.
Baldwin, C., Hienerth, C., and von Hippel, E., 2006, “How User Innovations Become Commercial Products: A Theoretical Investigation and Case Study,” Res. Policy, 35, pp. 1291–1313. [CrossRef]
Leimeister, J., Huber, M., Bretschneider, U., and Krcmar, H., 2009, “Leveraging Crowdsourcing: Activation-Supporting Components for IT-Based Ideas Competition,” J. Manag. Inform. Syst., 26(1), pp. 197–224. [CrossRef]
Panchal, J. H., and Fathianathan, M., 2008, “Product Realization in the Age of Mass Collaboration,” 34th ASME Design Automation Conference, NY, DETC2008-49865.
NIST, 2011, “NIST Cloud Computing Reference Architecture,” Special Publication 500-292.
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, D., Patterson, Rabkin, A., Stoica, I., and Zaharia, M., 2010, “Above the Clouds: A View of Cloud Computing,” Commun. ACM, 53(4), pp. 50–58. [CrossRef]
Vaquero, L. M., Merino, L. R., Caceres, J., and Lindner, M., 2009, “A Break in the Clouds: Towards a Cloud Definition,” ACM SIGCOMM Computer Communication Review Archive.
Buyya, R., Yeo, C. S., and Venugopal, S., 2008, “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering It Services as Computing Utilities,” CoRR.
IBM, 2010, “Dispelling the Vapor Around Cloud Computing.” Available at: http://www-935.ibm.com/services/us/igs/cloudforum/Mills_pres.pdf
Licklider, J. C. R., 1963, “Topics for Discussion at the Forthcoming Meeting, Memorandum for: Members and Affiliates of the Intergalactic Computer Network,” Advanced Research Projects Agency. Available at: http://www.kurzweilai.net/memorandum-for-members-and-affiliates-of-the-intergalactic-computer-network
Foster, I., and Kesselman, C., 1999, The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann, San Francisco, CA.
Parkhill, D. F., 1966, The Challenge of the Computer Utility, Addison-Wesley Publication, Boston, MA.
Böhm, M., Leimeister., S., Riedl, C., and Krcmar, H., 2010, “Cloud Computing and Computing Evolution.” Available at: http://scholar.google.com/scholar?q=cloud+computing+and+computing+evolution&hl=en&btnG=Search&as_sdt=1%2C11&as_sdtp=on
Tao, F., Zhang, L., Venkatesh, V. C., Luo, Y., and Cheng, Y., 2011, “Cloud Manufacturing: A Computing and Service Oriented Manufacturing Model,” J. Eng. Manuf., 225(10), pp. 1969–1976. [CrossRef]
Xu, X., 2012, “From Cloud Computing to Cloud Manufacturing,” Robo. Comput. Integr. Manuf., 28, pp. 75–86. [CrossRef]
Wu, D., Greer, M. J., Rosen, D. W., and Schaefer, D., 2013, “Cloud Manufacturing: Strategic Vision and State-of-the-Art,” J. Manuf. Syst. Available at: http://www.sciencedirect.com/science/article/pii/S0278612513000411
Ulrich, K. T., and Eppinger, S. D., 2007, Product Design and Development, 4th ed., McGraw-Hill, New York.
von Hippel, E., 1998, “Economics of Product Development by Users: The Impact of “Sticky” Local Information,” Manag. Sci., 44, pp. 629–644. [CrossRef]
LaSelle, R., 2011, “Assembly Automation: Manufacturing in the Cloud.” Available at: http://www.assemblymag.com/articles/87223-assembly-automation-manufacturing-in-the-cloud
3D Systems, 2012. Available at: www.cubify.com
Johnson, J., Wu, H., Sifleet, T., and Fathianathan, M., 2008, “A Computational Method for Task Allocation and Coordination in a Distributed Design Environment,” DETC2008-49417, pp. 595–605.
Fenves, S. J., 2001, “A Core Product Model for Representing Design Information,” NIST.
Sudarsan, R., Han, Y. H., Feng, S. C., Wang, F., Sriram, R. D., and Lyons, K., 2003, “Objected-Oriented Representation of Electro-Mechanical Assemblies Using UML,” NIST.
Fuh, J. Y. H., and Li, W. D., 2005, “Advances in Collaborative CAD: The-State-of-the Art,” Comput.-Aided Des., 37(5), pp. 571–581. [CrossRef]
Franke, N., von Hippon, E., and Schrier, M., 2006, “Finding Commercially Attractive User Innovations: A Test of Lead User Theory,” J. Prod. Innovation Manage., 23, pp. 301–315. [CrossRef]
Slawsby, A., and Rivera, C., 2007, “Collective Innovation,” Master thesis, MIT Sloan School of Management, Cambridge, MA.
von Hippel, E., 2008, “Democratizing Innovation: The Evolving Phenomenon of User Innovation,” Int. J. Innovation Sci., 1(1), pp. 29–40. [CrossRef]
Chesbrough, H., 2005, Open Innovation, Harvard Business School Press, Boston.
Kruth, J. P., Leu, M. C., and Nakagawa, T., 1998, “Progress in Additive Manufacturing and Rapid Prototyping,” CIRP Ann., 47(2), pp. 526–540. [CrossRef]
Gibson, I., Rosen, D. W., and Stucker, B., 2009, Additive Manufacturing Techniques: Rapid Prototyping to Direct Digital Manufacturing, Springer, New York.
Sachs, E., Cima, M., and Cornie, J., 1990, “Three-Dimensional Printing: Rapid Tooling and Prototypes Directly From a CAD Model,” CIRP Ann., 39(1), pp. 201–204. [CrossRef]
Rosen, D. W., Chen, Y., Sambu, S., Allen, J., and Mistree, F., 2003, “The Rapid Tooling Testbed: A Distributed Design for Manufacturing System,” Rapid Prototyping J., 9(3), pp. 122–132. [CrossRef]
Rosochowski, A., and Matuszak, A., 2000, “Rapid Tooling: The State of the Art,” J. Mater. Process. Technol., 106(31), pp. 191–198. [CrossRef]
Sun, J., Zhang, Y. F., and Nee, A. Y. C., 2001, “A Distributed Multi-Agent Environment for Product Design and Manufacturing Planning,” Int. J. Prod. Res., 39(4), pp. 625–645. [CrossRef]
Hao, Q., Shen, W., and Wang, L., 2004, “Towards a Co-Operative Distributed Manufacturing Management Framework,” Comput. Ind., 56(1), pp. 71–84. [CrossRef]
FrayretJ., D’Amours, S., Montreuil, B., and Cloutier, L., 2001, “A Network Approach to Operate Agile Manufacturing Systems,” Int. J. Prod. Econ., 74, pp. 239–289. [CrossRef]
Abdullah, R., Selamat, M. H., Malaysia, U. P., Sahidudin, S., and Alias, R. A., 2005, “A Framework for Knowledge Management System Implementation in Collaborative Environment for Higher Learning Institution,” J. Knowl. Manage. Pract., 55(6), pp. 1–10.
Harding, J. A., Shahbaz, M., Srinivas, S., and Kusiak, A., 2006, “Data Mining in Manufacturing: A Review,” ASME J. Manuf. Sci. Eng., 128(4), pp. 969–976. [CrossRef]
Hamburg, I., 2002, “Improving Computer Supported Environment Friendly Product Development by Analysis of Data,” 2nd European Conference on Intelligent Systems and Technologies.
Agard, B., and Kusiak, A., 2004, “Data Mining Based Methodology for the Design of Product Families,” Int. J. Prod. Res., 42(15), pp. 2955–2969. [CrossRef]
Romanowski, C. J., and Nagi, R., 2001, A Data Mining for Knowledge Acquisition in Engineering Design, Kluwer Academic, Norwell, MA.
Kwak, C., and Yih, Y., 2004, “Data Mining Approach to Production Control in the Computer Integrated Testing Cell,” IEEE Trans. Rob. Autom., 20(1), pp. 107–116. [CrossRef]
Rokach, L., and Maimon, O., 2006, “Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach,” J. Intell. Manuf., 17(3), pp. 285–299. [CrossRef]
Hui, S. C., and Jha, G., 2000, “Data Mining for Customer Service Support,” Inform. Manage., 38(1), pp. 1–13. [CrossRef]
Wang, K., 2007, “Applying Data Mining to Manufacturing: The Nature and Implications,” J. Intell. Manuf., 18(4), pp. 487–495. [CrossRef]
Pearl, J., 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, San Mateo, CA.
McNaught, K., and Chan, A., 2011, “Bayesian Networks in Manufacturing,” J. Manuf. Technol. Manage., 22(6), pp. 734–747. [CrossRef]
Li, J., and Shi, J., 2007, “Knowledge Discovery From Observable Data for Process Control Using Causal Bayesian Networks,” IIE Trans., 39(6), pp. 681–690. [CrossRef]
Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D., and Jacobs, D., 2003, “A Search Engine for 3D Models,” ACM Trans. Graphics, 22(1), pp. 83–105. [CrossRef]
Lin, H. K., Harding, J. A., and Shahbaz, M., 2004, “Manufacturing System Engineering Ontology for Semantic Interoperability Across Extended Project Teams,” Int. J. Prod. Res., 42(24), pp. 5099–5118. [CrossRef]
Zha, X. F., and Sriram, R. D., 2006, “Platform-Based Product Design and Development: A Knowledge-Intensive Support Approach,” Knowl. Based Syst., 19(7), pp. 524–543. [CrossRef]
Eck, O., and Schaefer, D., 2011, “A Semantic File System for Integrated Product Data Management,” Adv. Eng. Inform., 25(2), pp. 177–184. [CrossRef]
W3C Semantic Web Activity, 2011. Available at: http://www.w3.org/2001/sw/
Berner-Lee, T., 1998, “Semantic Web Road Map,” IW3C Design Issues. Cambridge, MA: W3C, Cambridge. Available at: http://www.w3.org/DesignIssues/Semantic.html
Zhang, S., Shen, W., and Ghenniwa, H., 2004, “A Review of Internet-Based Product Information Sharing and Visualization,” Comput. Ind., 54(1), pp. 1–15. [CrossRef]
Dai, Y., Yang, B., Dongarra, J., and Zhang, G., 2009, “Cloud Service Reliability: Modeling and Analysis,” 15th IEEE Pacific Rim International Symposium on Dependable Computing.
Lin, H. K., and Harding, J. A., 2007, “A Manufacturing System Engineering Ontology Model on the Semantic Web for Inter-Enterprise Collaboration,” Comput. Ind. Eng., 58(5), pp. 428–437. [CrossRef]
Kim, K. Y., Manley, D. G., and Yang, H., 2006, “Ontology-Based Assembly Design and Information Sharing for Collaborative Product Development,” Comput.-Aided Des., 38(12), pp. 1233–1250. [CrossRef]
Cho, J., Han, S., and Kim, H., 2006, “Meta-Ontology for Automated Information Integration of Parts Libraries,” Comput.-Aided Des., 38(7), pp. 713–725. [CrossRef]
Li, Z., and Ramani, K., 2007, “Ontology-Based Design Information Extraction and Retrieval,” Artif. Intell. Eng. Des. Anal. Manuf., 21(2), pp. 137–154. [CrossRef]
Friedenthal, S., Moore, A., and Steiner, R., 2008, A Practical Guide to SysML: The Systems Modeling Language, Morgan Kaufmann, Burlington, MA.
Chen, S., and Tseng, M. M., 2010, “A Negotiation-Credit-Auction Mechanism for Procuring Customized Products,” Int. J. Prod. Econ., 127(1), pp. 203–210. [CrossRef]
Fiorentini, X., Sudarsan, R., Suh, H., Lee, J., and Sriram, R. D., 2008, “An Evaluation of Description Logic for the Development of Product Models,” NISTIR 7481.
Xu., Q., Zhou, F., and Jiao, R., 2011, “Affective-Cognitive Modeling for User Experience With Modular Colored Fuzzy Petri Nets,” J. Comput. Inform. Sci. Eng., 11(1), p. 011004. [CrossRef]
Lim, S. C. J., Liu, Y., and Lee, W. B., 2010, “A Methodology for Building A Semantically Annotated Multi-Faceted Ontology for Product Family Modeling,” Adv. Eng. Inform., 25(2), pp. 147–161. [CrossRef]
Gruber, T., 2008, “Collective Knowledge Systems: Where the Social Web Meets the Semantic Web,” J. Web Semantics, 6(1), pp. 4–13. [CrossRef]
Weinman, J., 2011, Axiomatic Cloud Theory, Working paper.
Beni, G., and Wang, J., 1989, “Swarm Intelligence in Cellular Robotic Systems,” Proceedings of the NATO Advanced Workshop on Robots and Biological Systems, Tuscany, Italy.
Weinman, J., 2011, “Cloudonomics: A Rigorous Approach to Cloud Benefit Quantification,” J. Software Technol., 14(4), pp. 10–18. [CrossRef]
Cheng, Y., Zhao, D., Hu, A. R., Luo, Y. L., Tao, F., and Zhang, L., 2010, “Multi-View Models for Cost Constitution of Cloud Service in Cloud Manufacturing System,” Commun. Comput. Inform. Sci., 202, pp. 225–233. [CrossRef]
Nan, X., He, Y., and Guan, L., 2011, “Optimal Resource Allocation for Multimedia Cloud Based on Queueing Model,” IEEE 13 International Workshop on Multimedia Signal Processing, pp. 1–6.
Hassenzahl, M., and Tractinsky, N., 2006, “User Experience—A Research Agenda,” Behav. Inform. Technol., 25(2), pp. 91–97. [CrossRef]
Urban, G. L., and von Hippel, E., 1986, “Lead User Analyses for the Development of New Individual Products,” Manage. Sci., 34(5), pp. 569–582. [CrossRef]
Foster, I., Zhao, Y., Raicu, I., and Lu, S., 2008, “Cloud Computing and Grid Computing 360 deg Compared,” Grid Computing Environments Workshop, Austin.
Howe, J., 2008, Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business, Crown Business, New York.
Wang, L., Shen, W., Xie, H., Neelamkavil, J., and Pardasani, A., 2002, “Collaborative Conceptual Design—State of the Art and Future Trends,” Comput.-Aided Des., 34(13), pp. 981–996. [CrossRef]
Brabham, D. C., 2009, “Crowdsourcing the Public Participation Process for Planning Projects,” Plann. Theory, 8(3), pp. 242–262. [CrossRef]
Moodle, 2012. Available at: http://moodle.org/
Schaefer, D., Thames, J. L., Wellman, R. D., Wu, D., Yim, S., and Rosen, D., 2012, “Distributed Collaborative Design and Manufacture in the Cloud—Motivation, Infrastructure, and Education,” 2012 American Society for Engineering Education Annual Conference, San Antonio, Paper #AC2012-3017.

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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