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Applying principles of mass customization to improve the empirical product development process

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Abstract

Applying methods of mass customization to the empirical process can improve product development process efficiency and reduce time and cost. Empirical methods are used to develop predictions of product behavior in conjunction with analytical methods or instead of analytical methods. These empirical methods represent a complete sub-product development process within the overall product development process. Application of process decomposition and planning used in mass customization can improve the efficiency, lower the time and cost of these empirical processes. This paper presents a method for applying principles of mass customization to the empirical sub-processes within a product development process. Two case studies are also presented to demonstrate the method.

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References

  • Cooper R. (1994) Third-generation new product processes. Journal of Product Innovation Management 11(1): 3–14

    Article  Google Scholar 

  • Cyon Research. (2003). The road to the future: How product development can make the journey more profitable. White paper, Sept. 15.

  • Doebelin E. (1995) Engineering experimentation: Planning, execution, reporting. McGraw-Hill, Inc, New York

    Google Scholar 

  • Engelbrektsson P., Soderman M. (2004) The use and perception of methods and product representations in product development: A survey of Swedish industry. Journal of Engineering Design, Apr, 15 2: 141–154

    Article  Google Scholar 

  • Funkenbusch P. (2005) Practical guide to designed experiments, a unified modular approach. Marcel Dekker, New York

    Google Scholar 

  • Grove D., Davis T. (1992) Engineering quality & experimental design. Wiley, New York

    Google Scholar 

  • Ingle K. (1994) Reverse engineering. McGraw-Hill, Inc, New York

    Google Scholar 

  • Jensen, C., Tucker, S., Jones, C., & Rohm, T. (2000a). Concurrent engineering with parametric design. In Proceedings the Third World Congress on Intelligent Manufacturing Process & Systems, Cambridge, MA.

  • Jensen, C., Tucker, S., Jones, C., & Rohm, T. (2000b). Parametric engineering design tools and applications. In Proceedings of the 2000 Design Engineering Technical Conferences, Baltimore, MD, DETC2000/DAC-14275.

  • Kehrli, D. (1996). Product development testing strategies. Technical Papers, Regional Technical Conference – Society of Plastics Engineers, Basics to New Technologies, F9-F14.

  • Levardy V., Hoppe M., Browning T. (2004) Adaptive test process – an integrated modeling approach for test and design activities in the product development process. Proceedings of the ASME Design Engineering Technical Conference 3: 241–250

    Google Scholar 

  • Lu Y., Loh H., Brombacher A., den Ouden E. (2000) Accelerated stress testing in a time-driven product development process. International Journal of Production Economics 67(1): 17–26

    Article  Google Scholar 

  • Otto K., Wood K. (2001) Product design. Prentice-Hall Inc, New Jersey

    Google Scholar 

  • Roach, G. (2003). The product design generator—a next generation approach to detailed design. Dissertation, Brigham Young University, Provo, UT.

  • Roach G., Cox J., Sorensen C. (2005) The product design generator: A system for producing design variants. International Journal of Mass Customization 1(1): 83–106

    Article  Google Scholar 

  • Roller, D. (1994). Foundation of parametric modeling. Stuttgart, Germany: Parametric and Variational Design, B.G. Teubner.

  • Teare, S. (2000). A procedure fore structuring product information for reusability. Masters Thesis, Brigham Young University, Provo, UT.

  • Ullman, D. (2003). The mechanical design process. McGraw-Hill Higher Education.

  • Weber C., Werner H., Deubel T. (2003) A different view on Product Data Management/Product Life-Cycle Management and its future potentials. Journal of Engineering Design 14(4): 447–464

    Article  Google Scholar 

  • Wheelwright S. (1989) Time to market in new product development. ICL Technical Journal (International Computers Limited) 6(4): 625–646

    Google Scholar 

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Correspondence to Jordan J. Cox.

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Bare, M., Cox, J.J. Applying principles of mass customization to improve the empirical product development process. J Intell Manuf 19, 565–576 (2008). https://doi.org/10.1007/s10845-008-0134-0

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  • DOI: https://doi.org/10.1007/s10845-008-0134-0

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