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Identifying Controlling Features of Engineering Design Iteration

Author

Listed:
  • Robert P. Smith

    (University of Washington, Industrial Engineering, Seattle, Washington 98195)

  • Steven D. Eppinger

    (MIT Sloan School of Management, E53-347, Cambridge, Massachusetts 02139)

Abstract

Engineering design often involves a very complex set of relationships among a large number of coupled problems. It is this complex coupling that leads to iteration among the various engineering tasks in a large project. The design structure matrix (DSM) is useful in identifying where iteration is necessary. The work transformation matrix model developed in this paper is a powerful extension of the DSM method which can predict slow and rapid convergence of iteration within a project, and predict those coupled features of the design problem which will require many iterations to reach a technical solution. This model is applied to an automotive brake-system development process in order to illustrate the model's utility in describing the main features of an actual design process.

Suggested Citation

  • Robert P. Smith & Steven D. Eppinger, 1997. "Identifying Controlling Features of Engineering Design Iteration," Management Science, INFORMS, vol. 43(3), pages 276-293, March.
    • Handle: RePEc:inm:ormnsc:v:43:y:1997:i:3:p:276-293
    DOI: 10.1287/mnsc.43.3.276
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