Target cascading is a key challenge in the early product development stages of large complex artifacts: how to propagate the desirable top level design specifications (or targets) to appropriate specifications for the various subsystems and components in a consistent and efficient manner. Consistency means that all parts of the designed system should work well together, while efficiency means that the process itself should avoid iterations at later stages, which are costly in time and resources. In the present article target cascading is formalized by a process modeled as a multilevel optimal design problem. Design targets are cascaded down to lower levels using partitioning of the original problem into a hierarchical set of subproblems. For each design problem at a given level, an optimization problem is formulated to minimize deviations from the propagated targets and thus achieve intersystem compatibility. A coordination strategy links all subproblem decisions so that the overall system performance targets are met. The process is illustrated with an explicit analytical problem and a simple automotive chassis design model that demonstrates how the process can be applied in practice.
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September 2003
Technical Papers
Target Cascading in Optimal System Design
Hyung Min Kim, Research Fellow,
e-mail: kimhm@umich.edu
Hyung Min Kim, Research Fellow
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
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Nestor F. Michelena, Research Scientist,
e-mail: nestorm@umich.edu
Nestor F. Michelena, Research Scientist
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
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Panos Y. Papalambros, Professor,
e-mail: pyp@umich.edu
Panos Y. Papalambros, Professor
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
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Tao Jiang, Supervisor
e-mail: tjiang@ford.com
Tao Jiang, Supervisor
Core Vehicle Integration Section, North American Family Cars, Ford Motor Company, Dearborn, MI 48121
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Hyung Min Kim, Research Fellow
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
e-mail: kimhm@umich.edu
Nestor F. Michelena, Research Scientist
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
e-mail: nestorm@umich.edu
Panos Y. Papalambros, Professor
Optimal Design Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109
e-mail: pyp@umich.edu
Tao Jiang, Supervisor
Core Vehicle Integration Section, North American Family Cars, Ford Motor Company, Dearborn, MI 48121
e-mail: tjiang@ford.com
Contributed by the Design Automation Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received July 2001; rev. October 2002. Associate Editor: J. Renaud.
J. Mech. Des. Sep 2003, 125(3): 474-480 (7 pages)
Published Online: September 4, 2003
Article history
Received:
July 1, 2001
Revised:
October 1, 2002
Online:
September 4, 2003
Citation
Kim, H. M., Michelena, N. F., Papalambros, P. Y., and Jiang, T. (September 4, 2003). "Target Cascading in Optimal System Design ." ASME. J. Mech. Des. September 2003; 125(3): 474–480. https://doi.org/10.1115/1.1582501
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