A design representation is developed to model multi-attribute systems utilizing multi-dimensional clipping and transformation algorithms. Given a linear system characterization, three types of supporting information is generated for the decision maker: (1) a function matrix that describes the performance attributes dependent upon the decision variables; (2) a decision space that corresponds to the feasible decision set that meets performance requirements, and; (3) a performance space that represents the feasible performance region and the Pareto Optimal set. The analytical method developed for solving these feasible spaces is described for a linear system model. A case study is presented to demonstrate how to utilize the representation to locate a feasible solution and proceed to the desired trade-off of multiple attributes. Moreover, the potential incorporations of the representation with other influential design methodologies are discussed.
A Performance-Based Representation for Engineering Design
Contributed by the Design Theory & Methodology Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received June 1999. Associate Editor. J. Cagan.
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Zhu , L., and Kazmer, D. (June 1, 1999). "A Performance-Based Representation for Engineering Design ." ASME. J. Mech. Des. December 2001; 123(4): 486–493. https://doi.org/10.1115/1.1401021
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