Abstract
Choosing products to launch from a set of platform based variants and determining their prices are some of the critical decisions involved in any new product development (NPD) process. Commercial vehicles are products, whose sales are closely tied with the economic conditions. The manufacturers have to choose the variants of the commercial vehicles to launch and sequence the product launches in such a way that profitability is maximized. We develop a two period model to choose the platform based variants, their prices and launch sequences with the two periods, spanning two economic conditions, for example boom and recession. Our model helps in determining realistic prices of products in different economic conditions.
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References
Chaudhuri, Atanu and K.N. Singh (2005), ‘Incorporating Impact of Economic Conditions on Pricing and Launch Sequence Determination of Commercial Vehicles’, Metamorphosis, Vol. 4, No. 1, pp. 26–38.
Desai, Preyas S. (2001), ‘Quality Segmentation in Spatial Markets: When Does Cannibalization Affect Product Line Design?’, Marketing Science, Vol. 20, No. 3, pp. 265–283.
Dobson, G. and S. Kalish (1988), ‘Positioning and Pricing a Product Line’, Marketing Science, Vol. 7, No. 2, pp. 107–125.
Dobson, G. and S. Kalish (1993), ‘Heuristics for Pricing and Positioning a Product Line Using Conjoint and Cost Data’, Management Science, Vol. 39, No. 2, pp. 160–175.
Green, Paul E. and A.M. Krieger (1985), ‘Models and Heuristics for Product Line Selection’, Marketing Science, Vol. 4, No. 1, pp. 1–19.
Green, Paul E. and A.M. Krieger (1987), ‘A Consumer based approach to designing product line extensions’, Journal of Product Innovation Management, Vol. 4, pp. 21–32.
Green, Paul E, A.M. Krieger and Yoram Wind (2001), ‘Thirty Years of Conjoint Analysis: Reflections and Prospects’, Interfaces, Vol. 31, No. 3 Part 2, S56–S73.
Jedidi, Kamel and J.Z. Zhang. (2002), ‘Augmenting Conjoint Analysis to Estimate Consumer Reservation Price’, Management Science, Vol. 48, No. 10, pp. 1350–1368.
Kim, Kilsun and Dilip Chhajed (2002), ‘Product Design with Multiple Quality-Type Attributes’, Management Science, Vol. 48, No. 11, pp. 1502–1511.
Kohli, R. and R. Sukumar (1990), ‘Heuristics for Product-Line Design Using Conjoint Analysis’, Management Science, Vol. 36, No. 12, pp. 1464–1478.
McBride, R.D., and F.S Zufryden (1988), ‘An Integer Programming Approach to the Optimal Product Line Selection Problem’, Marketing Science, Vol. 7, No. 2, pp. 126–140.
Moore, William L, Jordan J. Louviere and Rohit Verma (1999), ‘Using Conjoint Analysis to Help design Product Platforms’, Journal of Product Innovation Management, 16, pp. 27–39.
Moorthy, Sridhar K. (1984), ‘Market Segmentation, self-selection and product line design’, Marketing Science, Vol. 3, No. 4, pp. 288–307.
Moorthy, Sridhar K and I.P.L Png (1992), ‘Market Segmentation, Cannibalization and the Timing of Product Introductions’, Management Science, 38(3) 345–359.
Mussa, M and S. Rosen (1978), ‘Monopoly and Product Quality’, Journal of Economic theory, Vol. 18, No. 2, pp. 301–317.
Page, Albert L and Harold F Rosenbaum (1989), ‘Redesigning product lines with conjoint analysis: A reply to Wittink’, Journal of Product Innovation Management, Vol. 6, pp. 293–296.
Scholl, Armin, Manthey, Laura, Helm, Roland, Steiner, Michael (2005). Solving multi-attribute design problems with analytic hierarchy process and conjoint analysis: An empirical comparison, European Journal of Operational Research, Vol. 163, No. 4, 760–777.
Urban, Glen L., Hauser, John R and Roberts, John H (1990), ‘Prelaunch forecasting of new automobiles’, Management Science, Vol. 36, No. 4, pp. 401–421.
Wittink, Dick R (1989), ‘Redesigning Product Lines using with Conjoint Analysis: A Comment’, Journal of Product Innovation Management, Vol. 6, pp. 289–292.
Zufryden, F.S. (1982), ‘Product Line Optimization by Integer Programming’, Proceedings of Annual Meeting of ORSA/TIMS, San Diego, CA.
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Chaudhuri, A., Singh, K.N. (2009). Two Period Product Choice Models for Commercial Vehicles. In: Raghavan, N., Cafeo, J. (eds) Product Research. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2860-0_16
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DOI: https://doi.org/10.1007/978-90-481-2860-0_16
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