Optimal experimental design of human appraisals for modeling consumer preferences in engineering design

Proceedings of the ASME Design Engineering Technical Conference

Volumn 1, Issue PARTS A AND B, 2008, Pages 427-436

  Hoyle, Christopher ^a   Chen, Wei ^a   Ankenman, Bruce ^b   Wang, Nanxin ^c  

^a Northwestern University   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c FORD MOTOR COMPANY   (United States)

Author keywords

Consumer preference; D optimality; Human appraisal; Rating based conjoint analysis; Split plot experiment

Indexed keywords

CONJOINT ANALYSIS; CONSUMER PREFERENCES; D-OPTIMALITY; HUMAN APPRAISAL; SPLIT-PLOT;

ALGORITHMS; COMPUTER AIDED DESIGN; DESIGN OF EXPERIMENTS; ENGINEERING; EXPERIMENTS; FISHER INFORMATION MATRIX; MATHEMATICAL MODELS; OPTIMIZATION; POPULATION STATISTICS; PRODUCT DESIGN; RATING;

STRUCTURAL DESIGN;

EID: 81155127549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2008-49561     Document Type: Conference Paper

References (41)

1. Li, H., and Azarm, S., 2000, "Product Design Selection under Uncertainty and with Competitive Advantage," Transactions of ASME: Journal of Mechanical Design, 122(4), 411-418.
2. Petiot, J. F., and Yannou, B., 2004, "Measuring Consumer Perceptions for a Better Comprehension, Specification and Assessment of Product Semantics," International Journal of Industrial Ergonomics, 33(6), 507-525. (Pubitemid 38507669)
3. Michalek, J. J., Feinberg, F. M., and Papalambros, P. Y., 2005, "Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading," Journal of Product Innovation Management, 22(1), 42-62. (Pubitemid 40178606)
4. MacDonald, E., Gonzalez, R. and Papalambros, P.Y., 2007, "Preference Inconsistency in Multidisciplinary Design Decision Making," Proceedings of the 2007 International Design Engineering Technical Conferences, Sept. 4-8, Las Vegas, NV.
5. Besharati, B., Azarm, S., and Farhang-Mehr, A., 2002, "A Customer-Based Expected Utility Metric for Product Design Selection," Proceedings of ASME 2002 IDETC Conference, September 29-October 2, Montreal, Canada.
6. Kumar, D., Hoyle, C., Chen, W., Wang, N., and Gomez- Levi, G., 2007, "A Hierarchical Choice Modelling Approach for Incorporating Customer Preferences in Vehicle Package Design," to appear: International Journal of Product Development.
7. Kumar, D., Hoyle, C., Chen, W., Wang, N., Gomez-Levi, G., and Koppelman, F., 2007, "A Hierarchical Choice Modeling Approach for Incorporating Customer Preferences and Market Trends in Engineering Design," Proceedings of 2007 ASME DETC/CIE Conference, Sept. 4-7, Las Vegas, NV.
8. Wassenaar, H. J., and Chen, W., 2003, "An Approach to Decision-Based Design with Discrete Choice Analysis for Demand Modeling," Journal of Mechanical Design, 125(3), 490-497.
9. Wassenaar, H. J., Chen, W., Cheng, J., and Sudjianto, A., 2005, "Enhancing Discrete Choice Demand Modeling for Decision-Based Design," Journal of Mechanical Design, 127, 514-523. (Pubitemid 41064205)
10. Wang, N., Kiridena, V., Gomez-Levi, G., and Wan, J., 2006, "Design and Verification of a New Computer Controlled Seating Buck," Proceedings of the 2006 ASME IDETC/CIE, September 10-13, Philadelphia, Pennsylvania.
11. Louviere, J. J., Hensher, D. A., and Swait, J. D., 2000, Stated Choice Methods: Analysis and Application, Cambridge University Press, New York.
12. McKelvey, R. D., and Zavoina, W., 1975, "A Statistical Model for the Analysis of Ordinal Level Dependent Variables," Journal of Mathematical Sociology, 4(1), 103-120.
13. McCullagh, P., 1980, "Regression Models for Ordinal Data," Journal of the Royal Statistical Society. Series B (Methodological), 42(2), 109-142.
14. Box, G. E. P., Hunter, J. S., and Hunter, W. G., 2005, Statistics for Experimenters: Design, Innovation, and Discovery, John Wiley & Son, New York.
15. Kuhfeld, W. F., Tobias, R. D., and Garratt, M., 1994, "Efficient Experimental Design with Marketing Research Applications," Journal of Marketing Research, 31(4), 545-557.
16. Steckel, J. H., DeSarbo, W. S., and Mahajan, V., 1991, "On the Creation of Acceptable Conjoint Analysis Experimental Designs," Decision Sciences, 22(2), 435-442.
17. Montgomery, D. C., 2005, Design and Analysis of Experiments, John Wiley and Sons, Inc., New York.
18. Myers, R. H., and Montgomery, D. C., 2002, Response Surface Methodology: Process and Product in Optimization Using Designed Experiments, John Wiley & Sons, Inc., New York, NY.
19. Simpson, T. W., Poplinski, J. D., Koch, P. N., and Allen, J. K., 2001, "Metamodels for Computer-Based Engineering Design: Survey and Recommendations," Engineering with Computers, 17(2), 129-150. (Pubitemid 32659225)
20. Jin, R., Chen, W., and Simpson, T. W., 2001, "Comparative Studies of Metamodeling Techniques under Multiple Modeling Criteria," Structural and Multidisciplinary Optimization, 23(1), 1-13. (Pubitemid 34271934)
21. Green, P. E., and Srinivasan, V., 1978, "Conjoint Analysis in Consumer Research: Issues and Outlook," The Journal of Consumer Research, 5(2), 103-123.
22. Green, P. E., and Srinivasan, V., 1990, "Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice," Journal of Marketing, 54(4), 3-19.
23. Atkinson, A. C., and Donev, A. N., 1992, Optimum Experimental Designs, Oxford University Press, Oxford.
24. Kessels, R., Goos, P., and Vandebroek, M., 2004, "Optimal Designs for Rating-based Conjoint Experiments," Katholieke Universiteit Leuven, Faculty of Economics and Applied Economics, Department of Applied Economics.
25. Goos, P., 2002, The Optimal Design of Blocked and Split- Plot Experiments, Springer-Verlag, New York.
26. Sandor, Z., and Wedel, M., 2001, "Designing Conjoint Choice Experiments Using Managers' Prior Beliefs," Journal of Marketing Research, 38(4), 430-444.
27. Kessels, R., Goos, P., and Vandebroek, M., 2006, "A Comparison of Criteria to Design Efficient Choice Experiments," Journal of Marketing Research, 43(3), 409-419. (Pubitemid 44367339)
28. Zocchi, S. S., and Atkinson, A. C., 1999, "Optimum Experimental Designs for Multinomial Logistic Models," Biometrics, 55(2), 437-444. (Pubitemid 29302566)
29. Chipman, H. A., and Welch, W. J., 1996, "D-Optimal Design for Generalized Linear Models," Unpublished.
30. Heise, M. A., and Myers, R. H., 1996, "Optimal Designs for Bivariate Logistic Regression," Biometrics, 52(2), 613-624. (Pubitemid 26187066)
31. Perevozskaya, I., Rosenberger, W. F., and Haines, L. M., 2003, "Optimal Design for the Proportional Odds Model," The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 31(2), 225-235. (Pubitemid 37395675)
32. Liang, K., and Zeger, S. L., 1986, "Longitudinal Data Analysis using Generalized Linear Models," Biometrika, 73(1), 13.
33. Williamson, J. M., Kim, K., and Lipsitz, S. R., 1995, "Analyzing Bivariate Ordinal Data Using a Global Odds Ratio," Journal of the American Statistical Association, 90(432).
34. Hines, R., 1997, "Analysis of Clustered Polytomous Data Using Generalized Estimating Equations and Working Covariance Structures," Biometrics, 53(4), 1552-1556. (Pubitemid 28013598)
35. Hines, R., 1998, "Comparison of Two Covariance Structures in the Analysis of Clustered Polytomous Data using Generalized Estimating Equations," Biometrics, 54(1), 312-316. (Pubitemid 28158805)
36. Zorn, C. J. W., 2001, "Generalized Estimating Equation Models for Correlated Data: A Review with Applications," American Journal of Political Science, 45(2), 470-490.
37. Stata Corporation, 1996-2008, StataSE 9.2, College Station, Texas
38. Goos, P., and Vandebroek, M., 2004, "Outperforming Completely Randomized Designs," Journal of Quality Technology, 36(1), 12.
39. Tamhane, A. C., and Dunlop, D. D., 2000, Statistics and Data Analysis: From Elementary to Intermediate, Prentice Hall, Upper Saddle River, NJ.
40. Society of Automotive Engineers, 2002, "Surface Vehicle Recommended Practice-Motor Vehicle Dimensions," SAE J1100, Warrendale, Pennsylvania.
41. Draper, N. R., and Guttman, I., 1987, "A Comparison of Alternative Tests for Lack of Fit," Technometrics, 29(1), 91-93. (Pubitemid 17526868)