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Generalised models of design interation using signal flow graphs

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Abstract

Changing customer preferences, demand for quality, and new technologies have led to very short product life cycles. This requires firms to have short product development lead times while keeping product costs low and quality high in order to stay competitive. In this context, we focus on improved understanding of time-consuming design iterations. We are creating tools for modeling product development projects in order to predict the performance of product development organisations. In this paper, signal flow graphs are presented as a flexible tool for design process modeling, and illustrated using an industrial example. Analysis of the model allows computation of the probability distribution of lead time and identification of the key drivers of lead time.

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References

  1. Adler PS, Mandelbaum A, Nguyen V, Schwerer E. From project to process management in engineering: an empirically-based framework for analyzing product development time. Management Science. March 1995: 41, 3: 458–484

    Google Scholar 

  2. Ahmadi RH, Wang H. Rationalizing product design development processes. UCLA Anderson School of Management, Working Paper 1994

  3. Belhe U, Kusiak A. Modeling relationships among design processes. University of Iowa, Intelligent Systems Laboratory Working Paper, 08/95, February 1995

  4. Bucciarelli LL. Designing engineers. MIT Press, Cambridge, MA 1994

    Google Scholar 

  5. Clark KB, Fujimoto T. Product development performance: strategy, organization and management in the world auto industry. Harvard Business School Press, Boston, 1991

    Google Scholar 

  6. Eppinger SD, Whitney DE, Smith RP, Gebala DA. A model-based method for organizing tasks in product development. Research in Engineering Design, 1994; 6, 1: 1–13

    Google Scholar 

  7. Ha AY, Porteus EL. Optimal timing of reviews in concurrent Design for Manufacturability. Management Science, September 1995; 41, 9: 1431–1447

    Google Scholar 

  8. Howard RA. Dynamic probabilistic systems. John Wiley, New York, 1971

    Google Scholar 

  9. Krishnan V, Eppinger SD, Whitney DE. A model-based framework to overlap product development activities. Management Science. Also MIT Sloan School of Management Working Paper no. 3635, rev. September 1996

  10. Luenberger DG. Introduction to dynamic systems: theory, models, and applications. John Wiley, New York 1979

    Google Scholar 

  11. Mason, SJ, Zimmermann HJ. Electronic circuits, signals, and systems. John Wiley, New York 1960

    Google Scholar 

  12. Osborne SM. Product development cycle time characterization through modeling of process iteration. Masters Thesis, MIT 1993

  13. Pérez-Arriaga IJ, Verghese GC, Pagola FL, Sancha JL, Schweppe FC. Developments in selective modal analysis of small-signal stability in electric power systems. Automatica 1990; 26, 2: 215–231

    Google Scholar 

  14. Smith P, Reinertsen D. Developing products in half the time. Van Nostrand Reinhold, New York 1991.

    Google Scholar 

  15. Smith RP, Eppinger SD. Identifying controlling features of engineering design iteration. Management Science. Also MIT Sloan School of Management Working Paper no. 3348, rev. October 1995

  16. Smith RP, Eppinger SD. A predictive model of sequential iteration in engineering design. Management Science. Also MIT Sloan School of Management Working Paper no. 3160 rev. March 1996

  17. Truxal JG. Automatic feedback control system synthesis. McGraw-Hill, New York 1955

    Google Scholar 

  18. Ulrich KT, Eppinger SD. Product design and development. McGraw-Hill, New York 1995

    Google Scholar 

  19. von Hippel E. Sticky information and the locus of problem solving: implications for innovation. Management Science, April 1994; 40, 4: 429–439

    Google Scholar 

  20. Wheelwright SC, Clark KB. Revolutionizing product development: quantum leaps in speed, efficiency, and quality. Free Press, New York, 1992

    Google Scholar 

  21. Whitney DE, Designing the design process. Research in Engineering Design 1990; 2, 1: 3–13

    Google Scholar 

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Correspondence to Steven D. Eppinger.

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Eppinger, S.D., Nukala, M.V. & Whitney, D.E. Generalised models of design interation using signal flow graphs. Research in Engineering Design 9, 112–123 (1997). https://doi.org/10.1007/BF01596486

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