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    Productivity Improvement by Using Social-Annotations about Design Intent in CAD Modelling Process

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    [EN] This paper focuses on the New Product Development Process (NPDP) area to contribute to increasing the productivity of CAD users by means of an improved design intent communication using a social-annotation technique. Design teams operate in a similar way to an online social network, and CAD models are not just only a 3D geometry representation, as they reflect the result of an specific modeling strategy, that usually constrains the future capability for modification and reuse of the existing 3D model. Considering this context, this work tries to assess the impact of annotations in the engineering change process in order to determine its influence in the user performance during this process. Preliminary experimental results obtained from several experiments with Spanish CAD students indicate that it is possible to reduce the time needed to perform engineering changes in existing models into a 10-20% range, if those CAD models provide annotations explaining the original design intent. © 2011 Springer-Verlag.Alducin, G.; Contero, M.; Martín Guitérrez J.; Guerra-Zubiaga, D.; Johnson, M. (2011). Productivity Improvement by Using Social-Annotations about Design Intent in CAD Modelling Process. Lecture Notes in Computer Science. 6778:153-161. doi:10.1007/978-3-642-21796-8_16S1531616778Anderl, R., Mendgen, R.: Parametric design and its impact on solid modeling applications. In: Third ACM Symposium on Solid Modelling and Applications, pp. 1–12. ACM, New York (1995)Vila, C., Contero, M., Company, P.: Extended modeling, a tool for cooperative design. In: 6th International Conference on Concurrent Enterprising, Tolouse France (2000)Anderl, R., Mendgen, R.: Analyzing and optimizing constraint-structures in complex parametric CAD models. In: Bruderlin, B., Roller, D. (eds.) Geometric Constraint Solving and Applications, pp. 58–81. Springer, Berlin (1998)Hartman, N.W.: The development of expertise in the use of constraint-based CAD tools. Eng. Design Graph. J. 68, 14–26 (2004)Rynne, A.: AC 2007-2132: Cognitive modelling strategies for optimum design intent in parametric modelling (PM). American Society for Engineering Education (2007)Guerra-Zubiaga, D.A.: A Model to enable Knowledge Maintenance: Supporting Manufacturing Decisions. VDM Verlag, Germany (2009); ISBN 978-3639209983Hartman, N.W.: Defining expertise in the use of constraint-based CAD tools by examining practicing professionals. Eng. Design Graph. J. 68, 6–15 (2005)Bhavnani, S.K., Garrett, J.H.J., Shaw, D.S.: Leading indicators of CAD experience: Paper presented at the Proceedings of Computer-Aided Architectural Design Futures CAAD Futures 1993, pp. 313–334 (1993)Johnson, M.D., Diwakaran, R.P.: Assessing the effect of incentive on computer-aided design intent. In: The ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, San Diego, California, pp. 523–532 (2009)Polkinghorne, D.E.: Phenomenological research methods. In: Valle, R.S., Halling, S. (eds.) Existential-Phenomenological Perspectives in Psychology, pp. 41–60. Plenum, New York (1989)Meyer, M.A., Booker, J.M.: Eliciting and analyzing expert judgment: A practical guide. Academic Press, San Diego (1991)Reddy, J.M., Finger, S., Konda, S., Subrahmanian, E.: Design as Building and Reusing Artifact Theories: Understanding and Supporting Growth of Design Knowledge. In: The Design Productivity Debate. Springer, Heidelberg (1998)Bucciarelli, L.L.: Designing engineers. MIT Press, Cambridge (1994)May, P., Ehrlich, H.C., Steinke, T.: Mapping Sociotechnical Networks in the Making. In: Bowker, G., Star, S.L., Turner, W., Gasser, L. (eds.) Beyond the Great Divide,Technical Systems and Co-operative Work, Lawrence Erlbaum, Mahwah (1997)Bhavnani, S.K., Garrett, J.H.: Leading Indicators of CAD Experience. In: Flemming, U., Van Wyk, S. (eds.) CAAD Futures 1993, pp. 313–334. Elsevier Science Publishers, Netherlands (1993
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