Simplifying Iterations in Cross-Functional Design Decision Making

Author:

Krishnan V.1,Eppinger S. D.2,Whitney D. E.3

Affiliation:

1. The University of Texas at Austin, Austin, TX 78712

2. Massachusetts Institute of Technology, Cambridge, MA 02139

3. MIT Center For Technology, Policy, and Industrial Development, Cambridge, MA

Abstract

In this paper, we consider the cross-functional design decision making process and discuss how sequential decision making leads to a degradation in design quality even when downstream design tasks are not rendered infeasible by preceding upstream decisions. We focus on the problem of simplifying the design iterations required to address this quality loss. Two properties, called sequence invariance and task invariance, are introduced to help reduce the complexity of subsequent design iterations. We also discuss how these properties may be used by designers in situations where mathematical descriptions of the design performance characteristics are unavailable. We illustrate the utility of these properties by showing their applicability to the design of catalytic converter diagnostic systems at a major U.S. automotive firm.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference28 articles.

1. Agogino A. M. , and AlmgrenA. S., “Techniques for Integrating Qualitative Resaoning and Symbolic Computation in Engineering Design Optimization,” Engineering Optimization, Vol. 12, 1987, pp. 117–135.

2. Bell, D., Taylor, D., and Hauck, P. D., “Mathematical Foundations of Engineering Design Processes,” ASME Design Theory and Methodology Conference, Miami, FL, 1991.

3. Boothroyd, G., Dewhurst, P., and Knight, W. A., Product Design For Manufacturing, Marcel Dekker, New York, 1994.

4. Cesiel, D. S., “A Structured Approach to Calibration Development for Automotive Diagnostic Systems,” Masters Thesis, Massachusetts Institute of Technology, 1993.

5. Colburn, E., “Abstracting Design Relations,” Masters Thesis, Carnegie Mellon University, 1988.

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