The development of a repository of innovative products (RIP) for inspiration in engineering design

References

• Abbott, D., & Lough, K. G. (2007). Component functional templates as an engineering design teaching aid. ASEE Annual Conference & Exposition, Honolulu, HI, USA.
   Google Scholar
• Agogino, A., & Tumer, K. (2008a). Analysing and visualizing multiagent rewards in dynamic and stochastic environments. Journal of Autonomous Agents and Multi Agent Systems, 17, 320–338.
   Web of Science ®Google Scholar
• Agogino, A., & Tumer, K. (2008b). Efficient evaluation functions for evolving coordination. Evolutionary Computation, 16, 257–288.
   PubMed Web of Science ®Google Scholar
• Amabile, T., Conti, R., Coon, H, Lazenby, J, & Herron, M (1996). Assessing the work environment for creativity. The Academy of Management Journal, 39, 1154–1184.
   Web of Science ®Google Scholar
• Besemer, S. (1998). Creative product analysis matrix: Testing the model structure and a comparison among products & three novel chairs. Creativity Research Journal, 11, 333–346.
   Web of Science ®Google Scholar
• Bohm, M. (2004). Product design support: Exploring a design repository system. International Mechanical Engineering Congress and Exposition, Anaheim, CA, USA.
   Google Scholar
• Bohm, M., Stone, R., Simpson, T. W., & Steva, E. D. (2006). Introduction of a data schema: The inner workings of a design repository. International Design Engineering Technical Conferences and Computers in Information Engineering Conference, Philadelphia, PA, USA.
   Google Scholar
• Bohm, M., Stone, R., & Szykman, S. (2005). Enhancing virtual product representations for advanced design repository systems. Journal of Computing and Information Science in Engineering, 5, 360–372.
   Web of Science ®Google Scholar
• Bryant, C., McAdams, D., Stone, RB, Kurtoglu, T, & Campbell, M. I. (2005). A computational technique for concept generation. ASME International Design Engineering Technical Conferences and Computers in Information in Engineering Conference, Long Beach, CA, USA.
   Google Scholar
• Bryant, C., McAdams, D., Stone, R. B., Kurtoglu, T., & Campbell, M. I. (2006). A validation study of an automated concept generator design tool. ASME 2006 International Design Engineering Technical Conferences, Philadelphia, PA, USA.
   Google Scholar
• Bryant, C., Stone, R., McAdams, D. A., Kurtoglu, T., & Campbell, M. I. (2005). Concept generation from the functional basis of design. International Conference on Engineering Design, Melbourne, Australia.
   Google Scholar
• Bryant, C., Stone, R., & McAdams, D. A. (2008). MEMIC: An interactive morphological matrix tool for automated concept generation. Industrial Engineering Research Conference, Vancouver, BC, Canada.
   Google Scholar
• Buhl, H. (1960). Creative engineering design. Ames: Iowa State University Press.
   Google Scholar
• Cropley, D., & Cropley, A. (2005). Engineering creativity: A systems concept of functional creativity. In J.Kaufman & J.Baer (Eds.), Creativity across domains (pp. 169–185). London: Lawrence Erlbaum Associates.
   Google Scholar
• Elizondo, L., Yang, M., Kisselburgh, L. G., Daniel Hirleman, E., Cipra, R. J., Ramani, K., & Carleton, T. (2010). Understanding innovation in student design projects. ASME 2010 International Design in Engineering Technical Conferences, Montreal, Quebec, Canada.
   Google Scholar
• Fantoni, G., Taviani, C., & Santoro, R. (2007). Design by functional synonyms and antonyms: A structured creative technique based on functional analysis. Journal of Engineering Manufacture, 221, 673–683.
   Web of Science ®Google Scholar
• Hirtz, J., McAdams, D., McAdams, D. A., Szykman, S., & Wood, K. L. (2002). A functional basis for engineering design: Reconciling and evolving previous efforts. Research in Engineering Design, 13, 65–82.
   Web of Science ®Google Scholar
• Horn, D., & Salvendy, G. (2006). Consumer-based assessment of product creativity: A review and reappraisal. Human Factors and Ergonomics in Manufacturing, 16, 155–175.
   Web of Science ®Google Scholar
• Kurtoglu, T., & Campbell, M. (2007). Exploring the worth of automatically generated design alternatives based on designer preferences. International Conference on Engineering Design, Paris, France.
   Google Scholar
• Kurtoglu, T., & Campbell, M. (2009a). Automated synthesis of electromechanical design configurations from empirical analysis of function to form mapping. Journal of Engineering Design, 20, 83–104.
   Web of Science ®Google Scholar
• Kurtoglu, T., & Campbell, M. (2009b). An evaluation scheme for assessing the worth of automatically generated design alternatives. Research in Engineering Design, 20, 59–76.
   Web of Science ®Google Scholar
• Kurtoglu, T., Campbell, M., Gonzalez, J., Bryant, C. R., Stone, R. B., & McAdams, D. A. (2005). Capturing empirically derived design knowledge for creating conceptual design configurations. ASME International Design Engineering Technical Conferences and Computers in Information Engineering Conference, Long Beach, CA, USA.
   Google Scholar
• Linsey, J. (2007). Design-by-analogy and representation in innovative engineering concept generation (Ph.D. dissertation). University of Texas, Austin.
   Google Scholar
• Linsey, J., Markman, A., & Wood, K. L. (2008). Increasing innovation: Presentation and evaluation of the wordtree design-by-analogy method. ASME 2008 International Design Engineering Technical Conferences, Brooklyn, NY, USA.
   Google Scholar
• Liu, H., & Liu, X. (2005). A computational approach to stimulating creativity in design. 9th International Conference on Computer Supported Cooperative Work in Design, Coventry, UK.
   Google Scholar
• Maher, M. L. (2012). Using AI to evaluate creative designs. 2nd International Conference on Design Creativity, Glasgow, UK.
   Google Scholar
• Okudan, G., & Shirwaiker, R. (2006). A multi-stage problem formulation for concept selection for improved product design. Istanbul: PICMET.
   Google Scholar
• Oman, S., & Tumer, I. (2010). Assessing creativity and innovation at the concept generation stage in engineering design: A classroom experiment. ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Montreal, Quebec, Canada.
   Google Scholar
• Oman, S. K., Tumer, I. Y., Wood, K., & Seepersad, C. (2013). A comparison of creativity and innovation metrics and sample validation through in-class design projects. Research in Engineering Design, 24, 65–92.
   Web of Science ®Google Scholar
• Oman, S., & Tumer, I. Y. (2009). The potential of creativity metrics for mechanical engineering concept design. International Conference on Engineering Design, ICED'09, Stanford, CA.
   Google Scholar
• O'Quin, K., & Besemer, S. (2006). Using the creative product semantic scale as a metric for results-oriented business. Creativity and Innovation Management, 15, 34–44.
   Google Scholar
• Otto, K., & Wood, K. (2001). Product design: Techniques in reverse engineering and new product development. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Pahl, G., & Beitz, W. (1988). Engineering design: A systematic approach. London: Springer-Verlag.
   Google Scholar
• Parameswaran, M. A. (2004). An introduction to design engineering. Harrow: Alpha Science International Ltd.
   Google Scholar
• Plucker, J., & Runco, M. (1998). The death of creativity measurement has been greatly exaggerated. Roeper Review, 21, 36–40.
   Google Scholar
• Rebhuhn, C., Gilchrist, B., Oman, S., Tumer, I., Stone, R., & Tumer, K. (2012). A multiagent framework for component-level creativity evaluation. Multiagent Based Simulation (MABS) 2012 at Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain.
   Google Scholar
• Redelinghuys, C. (1997a). A model for the measurement of creativity. Part I: Relating expertise, quality and creative effort. International Journal of Engineering Education, 13, 30–41.
   Web of Science ®Google Scholar
• Redelinghuys, C. (1997b). A model for the measurement of creativity. Part II: Creative paths and case study. International Journal of Engineering Education, 13, 98–107.
   Web of Science ®Google Scholar
• Redelinghuys, C. (2000). Proposed measures for invention gain in engineering design. Journal of Engineering Design, 11, 245–263.
   Web of Science ®Google Scholar
• Redelinghuys, C., & Bahill, A. T. (2006). A framework for the assessment of the creativity of product design teams. Journal of Engineering Design, 17, 121–141.
   Web of Science ®Google Scholar
• Sarkar, P., & Chakrabarti, A. (2011). Assessing design creativity. Design Studies, 32, 348–383.
   Web of Science ®Google Scholar
• Saunders, M., Seepersad, C., & Hölttä-Otto, K. (2009). The characteristics of innovative, mechanical products. ASME 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE, San Diego, CA.
   Google Scholar
• Shah, J., Kulkarni, S., & Vargas-Hernandez, N. (2000). Evaluation of idea generation methods for conceptual design: Effectiveness metrics and design of experiments. Journal of Mechanical Design, 122, 377–384.
   Web of Science ®Google Scholar
• Shah, J., Vargas-Hernandez, N., & Smith, S. M. (2003). Metrics for measuring ideation effectiveness. Design Studies, 24, 111–134.
   Google Scholar
• Shooter, S., Keirouz, W., Szykman, S., & Fenves, S. J. (2000). A model for the flow of design information in product development. Engineering with Computers, 16, 178–194.
   Web of Science ®Google Scholar
• Sternberg, R., Kaufman, J., & Pretz, J. E. (2002). The creativity conundrum: A propulsion model of kinds of creative contributions. New York, NY: Psychology Press.
   Google Scholar
• Stone, R., & Wood, K. (2000). Development of a functional basis for design. Journal of Mechanical Design, 122, 359–370.
   Web of Science ®Google Scholar
• Tumer, K., & Wolpert, D. (2004). Collectives and the design of complex systems. New York, NY: Springer.
   Google Scholar
• Ullman, D. (2010). The mechanical design process. New York, NY: McGraw-Hill Science/Engineering/Math.
   Google Scholar
• Ulrich, K., & Eppinger, S. (2000). Product design and development. Boston, MA: McGraw-Hill.
   Google Scholar