Optimal pricing and promotional effort control policies for a new product growth in segmented market
DOI:
https://doi.org/10.2298/YJOR130217035JKeywords:
Market segmentation, price policy, promotional effort policy, differentiated market promotion effort, mass market promotion effort, optimal control problem, maximum principle, differential evolution algorithmAbstract
Market segmentation enables the marketers to understand and serve the customers more effectively thereby improving company’s competitive position. In this paper, we study the impact of price and promotion efforts on evolution of sales intensity in segmented market to obtain the optimal price and promotion effort policies. Evolution of sales rate for each segment is developed under the assumption that marketer may choose both differentiated as well as mass market promotion effort to influence the uncaptured market potential. An optimal control model is formulated and a solution method using Maximum Principle has been discussed. The model is extended to incorporate budget constraint. Model applicability is illustrated by a numerical example. P.C. Jha, P. Manik, K. Chaudhary, R. Cambini / Optimal Pricing and Promotional 2 Since the discrete time data is available, the formulated model is discretized. For solving the discrete model, differential evolution algorithm is used.References
Bass, F.M., “A new product growth model for consumer durables”, Management Science, 15 (5) (1969) 215-227.
Bass, F.M., Krishnan, T.V., and Jain, D.C., “Why the Bass model fits without decision variables”, Marketing Science, 13 (3) (1994) 203-223.
Buratto, A., Grosset, L., and Viscolani, B., “Advertising a new product in segmented market”, European Journal of Operational Research, 175 (2) (2006) 1262-1267.
Dockner, E., and Jørgensen, S., “Optimal advertising policies for diffusion models of new product innovation in monopolistic situations”, Management Science, 34 (1) (1988) 119-130.
Feichtinger G. (ed.), Optimal Control Theory and Economic Analysis, Vol 3, North-Holland, Amsterdam, 1988.
Feichtinger, G., Hartl, R.F., and Sethi, S.P., “Dynamic optimal control models in advertising: recent developments”, Management Science, 40 (2) (1994) 95-226.
Feoktistov, V., Differential Evolution: In Search of Solutions, ISBN-13 978-0387368955, Springer, 2006.
Horsky, D., and Simmon, L., “Advertising and diffusion of new products”, Marketing Science, 2 (1) (1983) 1-17.
Horsky, D., “A diffusion model incorporating product benefits, price, income and information”, Marketing Science, 9 (4) (1990) 342-365.
Grosset, L., and Viscolani, B., “Advertising for the introduction of an age-sensitive product”, Optimal Control Applications and Methods, 26 (3) (2005) 157-167.
Jha, P.C., Chaudhary, K., and Kapur, P.K., “Optimal advertising control policy for a new product in segmented market”, OPSEARCH, 46 (2) (2009) 225-237.
Kalish, S., “Monopolist pricing with dynamic demand and product cost”, Marketing Science, 2 (2) (1983) 135-159.
Kalish, S., “A new product adoption model with price, advertising and uncertainty”, Management Science, 31 (12) (1985) 1569-1585.
Kamakura, W., and Balasubramanium, S.K., “Long-term view of the diffusion of durables: a study of the role of price and adoption influence processes via tests of nested models”, International Journal of Research in Marketing, 5 (1) (1988) 1-13.
Little, J.D.C., and Lodish, L.M., “A media planning calculus”, Operations Research, 17 (1) (1969) 1-35.
Manik, P., Chaudhary, K., Singh, Y., and Jha, P.C., “Optimal promotion effort control policy for segment specific new product growth”, in: J.C. Bansal, P.K. Singh, K. Deep, M. Pant, and A. Nagar (eds.), Advances in Intelligent and Soft Computing, Vol 202, Springer - India, 2013, 347-358.
Nerlove, M., and Arrow, K.J., “Optimal advertising policy under dynamic conditions”, Economica, 29 (114) (1962) 129-142.
Price, K.V., and Storn, R.M., Differential Evolution-a simple and efficient adaptive scheme for global optimization over continuous space, 1995, Technical Report TR-95-012, ICSI, March 1995. Available at ftp.icsi.berkeley.edu/pub/techreports/1995/tr-95-012.ps.Z.
Price, K.V., “An introduction to Differential Evolution”, in: D. Corne, D. Marco, and F. Glover, (eds.), New Ideas in Optimization, McGraw-Hill, London, UK, 1999, 78-108.
Price, K.V., Storn, R.M., and Lampinen, J.A., Differential Evolution: A Practical Approach to Global Optimization, ISBN-13 978-3540209508, Springer, 2005.
Robinson, B., and Lakhani, C., “Dynamic price models for new product planning”, Management Science, 21 (10) (1975) 1113-1122.
Rosen, J.B., “Numerical solution of optimal control problems”, in: G.B. Dantzig, and A.F. Veinott (eds.), Mathematics of Decision Science, Part-2, American Mathematical Society, 1968, 37-45.
Seidmann, T.I., Sethi, S.P., and Derzko, N., “Dynamics and optimization of a distributed sales-advertising model”, Journal of Optimization Theory and Applications, 52 (3) (1987) 443-462.
Seierstad, A., and Sydsaeter, K., Optimal Control Theory with Economic Applications, North Holland, Amsterdam, 1987.
Sethi, S.P., “Optimal control of the Vidale-Wolfe advertising model”, Operations Research, 21 (4) (1973) 998-1013.
Sethi, S.P., and Bass, F.M., “Optimal pricing in a hazard rate model of demand”, Optimal Control Applications and Methods, 24 (4) (2003) 183-196.
Sethi, S.P. and Thompson, G.L., Optimal Control Theory: Applications to Management Science and Economics, Kluwer Academic Publishers, Dordrecht, 2000.
Simon, H., and Sebastian, K., “Diffusion and advertising: German telephone company”, Management Science, 33 (4) (1987) 451-466.
Storn, R.M., and Price, K.V., “Differential Evolution - a simple and efficient heuristic for global optimization over continuous spaces”, Journal of Global Optimization, 11 (4) (1997) 341-359.
Teng J.T., and Thompson, G.L., “Oligopoly models for optimal advertising when production costs obey a learning curve”, Marketing Science, 29 (9) (1983) 1087-1101.
Thompson G.L., and Teng J.T., “Optimal pricing and advertising policies for new product oligopoly market”, Marketing Science, 3 (2) (1984) 148-168.
Thompson, G.L., and Teng, J.T., “Optimal strategies for general price-quality decision models of new products with learning production costs”, European Journal of Operational Research, 93 (3) (1996) 476-489.
Vidale, M.L., and Wolfe, H.B., “An operations research study of sales response to advertising”, Operations Research, 5 (3) (1957) 370-381.
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