Target cascading in product development is a systematic effort to propagate the desired top-level system design targets to appropriate specifications for subsystems and components in a consistent and efficient manner. If analysis models are available to represent the consequences of the relevant design decisions, analytical target cascading can be formalized as a hierarchical multilevel optimization problem. The article demonstrates this complex modeling and solution process in the chassis design of a sport-utility vehicle. Ride quality and handling targets are cascaded down to systems and subsystems utilizing suspension, tire, and spring analysis models. Potential incompatibilities among targets and constraints throughout the entire system can be uncovered and the trade-offs involved in achieving system targets under different design scenarios can be quantified.

1.
Kim, H. M., Michelena, N. F., Papalambros, P. Y. and Jiang, T., 2000, “Target Cascading in Optimal System Design,” Proceedings of the 2000 ASME Design Engineering Technical Conferences. September 10–13, Baltimore, MD, DETC2000/DAC-14265.
2.
Kim, H. M., 2001, “Target Cascading in Optimal System Design,” Doctoral Dissertation, Department of Mechanical Engineering, University of Michigan, Ann Arbor.
3.
Sobieski
,
J.
,
James
,
B.
, and
Riley
,
M.
,
1987
, “
Structural Sizing by Generalized, Multilevel Optimization
,”
AIAA J.
,
25
(
1
), pp.
139
145
.
4.
Cramer
,
E.
,
Dennis
,
J.
,
Frank
,
P.
,
Lewis
,
R.
, and
Shubin
,
G.
,
1994
, “
Problem Formulation for Multidisciplinary Optimization
,”
SIAM J. Control Optim.
,
4
(
4
), pp.
754
776
.
5.
Braun, R., 1996, “Collaborative Optimization: An Architecture For Large-Scale Distributed Design,” Doctoral Dissertation, Stanford University, Stanford.
6.
Tappeta
,
R.
, and
Renaud
,
J.
,
1997
, “
Multiobjective Collaborative Optimization
,”
ASME J. Mech. Des.
,
119
(
3
), pp.
403
411
.
7.
Alexandrov, N. M., and Lewis, R. M., 2000, “Analytical and Computational Aspects of Collaborative Optimization,” NASA TM-2000-210104, Hampton, VA.
8.
Michelena
,
N. F.
,
Papalambros
,
P. Y.
,
Park
,
H. A.
, and
Kulkarni
,
D.
,
1999
, “
Hierarchical Overlapping Coordination for Large-Scale Optimization by Decomposition
,”
AIAA J.
,
37
(
7
), pp.
890
896
.
9.
Park
,
H. A.
,
Michelena
,
N. F.
,
Kulkarni
,
D.
, and
Papalambros
,
P. Y.
,
2001
, “
Convergence Criteria for Overlapping Coordination Under Linear Constraints
,”
Journal of Computational Optimization and Applications
,
18
(
3
), pp.
273
293
.
10.
Papalambros, P. Y., and Wilde, D., 2000, Principles of Optimal Design: Modeling and Computation (2nd Ed.), Cambridge University Press, New York.
11.
Bazaraa, M. S., Sherali, H. D., and Shetty, C. M., 1993, Nonlinear Programming (2nd Ed.), John Wiley & Sons, Inc., New York.
12.
IEEE, 1998, “IEEE Standard for Application and Management of the Systems Engineering Process,” IEEE Std 1220–1998.
13.
Hogland, D., 2000, “A Parametric Model to Generate Subsystem Constitutive Laws for a Vehicle Ride Model,” M. S. Thesis, Department of Mechanical Engineering, University of Michigan, Ann Arbor.
14.
Wong, J. Y., 1993, Theory of Ground Vehicles (2nd Ed.), John Wiley & Sons, Inc., New York.
15.
Hann, S. A., Nakamura, S., and Sayers, M. W., 1992, “Painless Derivation and Programming of Equations of Motion for Vehicle Dynamics,” SAE Paper No. 923010.
16.
Shigley, J. E., and Mischke, C. R., 1989, Mechanical Engineering Design (5th Ed.), McGraw-Hill Co., New York.
17.
Michelena, N. F., Park, H. A. and Papalambros, P. Y., 2002, “Convergence Properties of Analytical Target Cascading,” Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, AIAA-2002-5506.
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