In this paper, we introduce a method for preliminary system configuration. Two steps are typically associated with preliminary system configuration, namely, selecting components that embody subsystems and then synthesizing the subsystems to create the system itself. We show how we can perform these two steps concurrently using a modification of Taguchi’s method of robust design. This method is effective in dealing with both discrete and continuous variables simultaneously. We illustrate the method for the preliminary design of a solar powered irrigation system. Our focus in this paper is on explaining our approach rather than on the results per se.

1.
Bascaran
E.
,
Bannerot
R. B.
, and
Mistree
F.
,
1989
, “
Hierarchical Selection Decision Support Problems in Conceptual Design
,”
Engineering Optimization
, Vol.
14
, pp.
207
238
.
2.
Bascaran, E., 1990, “A Model for the Conceptual Design of Thermal Systems: Concurrent Decisions in Designing for Concept,” Ph.D. Dissertation, Department of Mechanical Engineering, University of Houston, Houston, TX.
3.
Coleman
D. E.
, and
Montgomety
D. C.
,
1993
, “
A Systematic Approach to Planning for a Designed Industrial Experiment
,”
Technometrics
, Vol.
35
, No.
1
, pp.
1
12
.
4.
Erikstad
S. O.
,
Lautenschlager
U.
,
Bras
B.
,
Allen
J. K.
, and
Mistree
F.
,
1995
, “
Integrating Robustness into a Multi Objective Space Vehicle Design Process
,”
AIAA Journal of Guidance, Control and Dynamics
, Vol.
18
, pp.
1163
1168
.
5.
Kachar
R. N.
,
1985
, “
Off-Line Quality Control, Parameter Design, and the Taguchi Method
,”
Journal of Quality Technology
, Vol.
17
, pp.
176
209
.
6.
Kachar
R. N.
, and
Tsui
K-L.
,
1990
, “
Interaction Graphs: Graphical Aids for Planning Experiments
,”
Journal of Quality Technology
, Vol.
22
, No.
1
, pp.
1
14
.
7.
Khuri, A. I., and Cornell, J. A., 1987, Response Surfaces: Designs and Analysis, Marcel Dekker Inc., New York, NY.
8.
Loh, H. T., and Papalambros, P. Y., 1990, “A Sequential Linearization Approach for Solving Mixed-Discrete Nonlinear Design Optimization Problems,” Advances in Design Automation, ASME, pp. 1–10. Paper No. DE-23-2.
9.
Mistree, F., Lautenschalager, U., Erikstad, S. O., and Allen, J. K., 1993, Simulation Reduction using the Taguchi Method, NASA, Washington, D.C., NASA Contractor Report CR 4542.
10.
Phadke, M. S., 1989, Quality Engineering using Robust Design, Prentice Hall, Englewood Cliffs, NJ.
11.
Pomrehn, L. P., and Papalambros, P. Y., 1992, “Infeasibility and Non-Optimality Tests for Solution Space Reduction in Discrete Optimal Design,” Advances in Design Automation, ASME, DE-44-1, pp. 289–297.
12.
Ramakrishnan, B., and Rao, S. S., 1991, “A Robust Optimization Approach Using Taguchi’s Loss Function for Solving Nonlinear Optimization Problems,” Advances in Design Automation, ASME, DE-32-1, pp. 241–248.
13.
Yan, J., Rogalla, R., and Kramer, T., 1993, “Diesel Combustion and Transient Emissions Optimization using Taguchi Methods,” Diesel Combustion Processes, SAE Special Publications, Warrendale, PA, pp. 89–102.
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