Mathematical properties of the optimal product line selection problem using choice-based conjoint analysis

Management Science

Volumn 46, Issue 2, 2000, Pages 327-332

  Chen, Kyle D ^a   Hausman, Warren H ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COSTS; MATHEMATICAL MODELS; OPTIMIZATION; PRODUCT DESIGN;

CHOICE BASED CONJOINT ANALYSIS; MULTIMODAL LOGIT MODEL; PRODUCT LINE SELECTION;

MANAGEMENT SCIENCE;

EID: 0033893746     PISSN: 00251909     EISSN: None     Source Type: Journal    
DOI: 10.1287/mnsc.46.2.327.11931     Document Type: Article

References (20)

1. Anderson, S. P., A. Palma, J. Thisse. 1992. Discrete Choice Theory of Product Differentiation. The MIT Press, Cambridge, MA.
2. Debreu, G. 1960. Review of R. D. Luce, individual choice behavior: A theoretical analysis. Amer. Econom. Rev. 50 186-188.
3. Dobson, G., S. Kalish. 1988. Positioning and pricing of a product-line: Formulation and heuristics. Marketing Sci. 7 (2) 107-125.
4. _, _. 1993. Heuristics for pricing and positioning a product-line using conjoint and cost data. Management Sci. 39 (2) 160-175.
5. Elrod, T., J. J. Louviere, K. S. Davey. 1992. An empirical comparison of ratings-based and choice-based conjoint models. J. Marketing Res. 29 368-377.
6. Green, P. E., A. M. Krieger. 1985. Models and heuristics for product line selection. Marketing Sci. 4 1-19.
7. _, _. 1996. Individualized hybrid models for conjoint analysis. Management Sci. 42 (6) 850-867.
8. Hausman, J. A., D. McFadden. 1984. Specification tests for the multinomial logit model. Econometrica 42 1219-1240.
9. Kohli, R., R. Krishnamurti. 1987. A heuristic approach to product design. Management Sci. 33 1123-1133.
10. _, R. Sukumar. 1990. Heuristics for product-line selection using conjoint analysis. Management Sci. 36 (12) 1464-1478.
11. Louviere, J. J. 1988a. Conjoint analysis modeling of stated preferences: A review of theory, methods, recent developments and external validity. J. Transport Econom. Policy 22 93-119.
12. _. 1988b. Analyzing Decision Making: Metric Conjoint Analysis. Sage Publications, Inc., Beverly Hills, CA.
13. _, G. Woodworth. 1983. Design and analysis of simulated consumer choice or allocation experiments: An approach based on aggregate data. J. Marketing Res. 20 350-367.
14. Luce, R. D. 1959. Individual Choice Behavior: A Theoretical Analysis. Wiley New York.
15. McBride, R. D., F. S. Zufryden. 1988. An integer programming approach to optimal product-line selection. Marketing Sci. 7 126-140.
16. McFadden, D. 1987. Regression based specification tests for the multinomial logit model. J. Econometrics 34 63-82.
17. Moore, W. L., J. J. Louviere, R. Verma. 1998. Using conjoint analysis to help design product platforms. MSI Report, No. August 98-113.
18. Nair, S. K., L. S. Thakur, K. Wen. 1995. Near optimal solutions for product line design and selection: Beam search heuristics. Management Sci. 41 (5) 767-785.
19. Zufryden, F. S. 1977. A conjoint-measurement-based approach for optimal new product design and product positioning. A. D. Shocker, ed. Analytical Approaches to Product and Market Planning. Marketing Science Institute, Cambridge, MA, 100-114.
20. _. 1982. Product-line optimization by integer programming. Annual ORSA/TIMS Meeting, San Diego, CA.