A formal method for subjective design evaluation with multiple attributes

This paper contributes toward a more formal theory and methodology for design by mathematically modeling the functional relationships between design decisions and the ultimate overall worth of a design. The conventional approach to design evaluation is limited in two respects. First, the direct measurement of attribute performance levels does not reflect the subsequentworth to the designer. Second, ad hoc methods for determining the relative importance or priority of attributes do not accurately quantify beneficial attribute tradeoffs. This information is critical to the iterative redesign process. A formal Methodology for the Evaluation of Design Alternatives (MEDA) is presented which resolves these problems and can be used to evaluate design alternatives in the iterative design/redesign process. Multiattribute utility analysis is employed to compare the overall utility or value of alternative designs as a function of the levels of several performance characteristics of a manufactured system. The evaluation function reflects the designer's preferences for sets of multiple attributes. Sensitivity analysis provides a quantitative basis for modifying a design to increase its utility to the decision-maker. Improvements in one or more areas of performance and tradeoffs between attributes which would increase desirability of a design most are identified. A case study of materials selection and design in the automotive industry is presented which illustrates the steps followed in application of the method.

[1]  J. Neumann,et al.  Theory of Games and Economic Behavior. , 1945 .

[2]  Daniel Roos,et al.  THE FUTURE OF THE AUTOMOBILE , 1982 .

[3]  Paul R. Cohen,et al.  Dominic: A Domain-Independent Program for Mechanical Engineering Design , 1986, Artif. Intell. Eng..

[4]  R. N. Kackar Off-Line Quality Control, Parameter Design, and the Taguchi Method , 1985 .

[5]  C. Kirkwood A Case History of Nuclear Power Plant Site Selection , 1982 .

[6]  David C. Chang,et al.  Structural Requirements in Material Substitution for Car-Weight Reduction , 1976 .

[7]  Noah Webster,et al.  Webster's new collegiate dictionary , 1936 .

[8]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  John H. Sheesley,et al.  Quality Engineering in Production Systems , 1988 .

[10]  A. Feinberg,et al.  A two-phase methodology for technology selection and system design , 1989 .

[11]  J. Hauser,et al.  The House of Quality , 1988 .

[12]  Kamal Golabi,et al.  Selecting a group of dissimilar projects for funding , 1987, IEEE Transactions on Engineering Management.

[13]  E. Antonsson,et al.  Representing imprecision in engineering design: Comparing fuzzy and probability calculus , 1990 .

[14]  Jr. Joseph J. Pignatiello An Overview of the Strategy and Tactics of Taguchi , 1988 .

[15]  L. J. Savage,et al.  The Foundations of Statistics , 1955 .

[16]  S. R. Watson,et al.  Decision Synthesis: The Principles and Practice of Decision Analysis@@@Strategic and Tactical Decisions , 1989 .

[17]  Howard Raiffa,et al.  Games And Decisions , 1958 .

[18]  John R. Dixon,et al.  A review of research in mechanical engineering design. Part I: Descriptive, prescriptive, and computer-based models of design processes , 1989 .

[19]  Peter C. Fishburn,et al.  Utility theory for decision making , 1970 .

[20]  R. N. Kackar Response: Off-Line Quality Control, Parameter Design, and the Taguchi Method , 1985 .

[21]  Richard de Neufville,et al.  Choosing the Dimensions and Uncertainties of an Evaluation , 1978 .

[22]  Joel D. Goldhar,et al.  Uncertainty reduction through flexible manufacturing , 1987, IEEE Transactions on Engineering Management.

[23]  Deborah L Thurston,et al.  A Materials Selection Tool for Automotive Structural and Body Skin Systems , 1988 .

[24]  David C. Chang,et al.  The Regional Stiffness Requirement of Body Panels for Material Substitution Design , 1984 .

[25]  Gregory R. Madey,et al.  Strategic planning for investment in R&D using decision analysis and mathematical programming , 1985, IEEE Transactions on Engineering Management.

[26]  James S. Dyer,et al.  An Actual Application of Collective Choice Theory to the Selection of Trajectories for the Mariner Jupiter/Saturn 1977 Project , 1976, Oper. Res..

[27]  B. Chandrasekaran,et al.  A framework for design problem-solving , 1989 .

[28]  Richard de Neufville,et al.  Applied systems analysis , 1990 .