Abstract
My assignment for this lecture is to discuss applications of optimal control theory to Management Science problems. Since the field of Management Science encompasses production, finance, and marketing as its main functional areas which themselves are rather vast, it will not be possible to review all the optimal control problems arising in the literature of Management Science in the next hour. For this reason, I am taking liberty to narrow the scope of my lecture to problems dealing with optimal advertising policy, an area of marketing which has received quite a bit of attention for applications of optimal control theory.1
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Abbreviations
- *:
-
denotes the values on the optimal path
- -:
-
denotes the instantaneous optimal levels denotes the desired levels
- ‘:
-
denotes differentiation with respect to the argument
- .:
-
denotes time derivative
- A:
-
stock of advertising capital (a state variable)
- B:
-
denotes a particular brand
- E:
-
consumer’s attitude
- F(x(T),T):
-
salvage value function; F e-rtx(T) if linear
- G(·):
-
gain operator
- J:
-
value of the objective function to be maximized
- L(·):
-
loss operator
- M:
-
consumer’s motivation
- P:
-
market power
- Q:
-
upperbound on the rate of advertising effort
- R:
-
rate of profit margin gross of advertising
- S:
-
sales rate
- T:
-
denotes horizon
- U:
-
total advertising expenditure in dollars by all other firms in the industry, i.e., excluding the firm under consideration
- Y:
-
exogenous variable denoting the total market demand
- Z:
-
the exogenous variables a, a0, a1, b, d, e, are constants
- c(S):
-
cost of producing at rate S; cS if linear
- g(·):
-
rate of change of sales rate or captured market potential
- h(x,ẋ):
-
cost of advertising expressed as a function of x and ẋ
- k:
-
decay constant
- m:
-
superscript m denotes maximum level
- p:
-
price per unit (a control variable or an exogenous variable)
- r:
-
rate of discounting
- s:
-
denotes singular levels
- s:
-
denotes singular levels
- t:
-
denotes time
- u:
-
rate of advertising effort by the firm (a control variable)
- w(u):
-
cost of advertising at rate u; wu if linear
- x:
-
fraction of the market potential captured
- y:
-
fraction of the market potential captured for the second product
- z:
-
a dummy variable
- α, μ, ψ:
-
are constants
- β:
-
elasticity of demand with respect to price
- β(Q):
-
a parameter function
- δ:
-
rate of depreciation for the stock of advertising capital
- λ:
-
the adjoint variable
- η:
-
elasticity of demand with respect to advertising capital
- ϰ(·):
-
rate of profit margin gross of advertising; ϰX if linear
- ρ:
-
response constant
- ς:
-
elasticity of demand with respect to the exogenous variable Z
- Π:
-
present value of total profits
References
Arrow, K.J. and Kurz, M., Public Investment, The Rate ofReturn, and Optimal Fiscal Policy, The Johns Hopkins Press, Baltimore, Maryland, 1971, pp. 26–57.
Breakwell, J.V., “Stochastic Optimization Problems in Space Guidance”, in H.F. Karreman (Ed.), Stochastic Optimization and Control, Wiley, New York, 1968, pp. 91–100.
Connors, M.M., and Teichroew, D., Optimal Control of DynamicOperations Research Models, International Textbook Co., Scranton, Pennsylvania, 1967, pp. 87–93.
Cesari, L., “Existence Theorems for Optimal Solutions in Lagrange and Pontryagin Problems”, J.SIAM Control, Series A, 1965, PP. 475–498.
Drandakis, E.M. and Hu, S.C., “On the Existence of Optimal Policies with Induced Technical Progress”, presented at the December 1968 meeting of the Econometric Society.
Gould, J.O., “Diffusion Processes and Optimal Advertising Policy”, in E.S. Phelps et al (Eds.), Microeconomic Foundation of Employment and Inflation Theory, W.W. Norton and Co., Inc., 1970, pp. 338–368.
Hermes, H., and Haynes, G., “On the Nonlinear Control Problems with Control Appearing Linearly”, J.SIAM Control, Vol. 1, No. 2, 1963, pp. 85–108.
Ireland, N.J., and Jones, H.G., “Optimality in Advertising: A Control Theory Approach”, Proceedings of the IFORS/ IFAC International Conference held in Coventry, England on July 9–12, 1973, IEE Conference Publication No. 101, pp. 186–199.
Jacquemin, A.P., “Product Differentiation and Optimal Advertising Policy: A Dynamic Analysis”, Working Paper.
Miele, A., “Extremization of Linear Integral Equations by Green’s Theorem”, in G. Leitmann [Ed.], Optimization Techniques, Academic Press, New York, 1962.
Nerlove, M., and Arrow, K.J., “Optimal Advertising Policy Under Dynamic Conditions”, Economica, Vol. 395 May 1962) 129–142.
Nicosia, F.M., Consumer Decision Processes, Prentice-Hall Inc., Englewood Cliffs, N.J., 1966, pp. 195–245.
Ozga, S., “Imperfect Markets Through Lack of Knowledge”, Quarterly Journal of Economics, 1960, pp. 29–52.
Palda, K.S., The Measurement of Cumulative Advertising Effects, Prentice-Hall Inc., Englewood Cliffs, N.J. 1964.
Pontryagin, L.S. et al, The Mathematical Theory of OptimalProcesses, Wiley, New York, 1962.
Sasieni, M.W., “Optimal Advertising Expenditure”, Management Science, Vol. 18, No. 4, Part II, December 1971, P64–P72.
Schmalensee, R., The Economics of Advertising, North-Holland Publishing Co., 1972, pp. 16–47.
Sethi, S.P., Applications of Optimal Control Theory in Management Science and Economics, Doctoral Dissertation, Carnegie-Mellon University, December 1971.
Sethi, S.P., “Optimal Control of the Vidale-Wolfe Advertising Model”, Operations Research, Vol. 21, No. 4, July-August 1973, pp. 998–1013.
Sethi, S.P., “Optimal Dynamics of the Vidale-Wolfe Advertising Model : Fixed Terminal Market Share”, Technical Report 72–9, O.R. House, Standford University, May 1972.
Sethi, S.P., Optimal Institutional Advertising: Minimum Time Problem, forthcoming in Journal of Optimization Theory and Applications.
Sethi, S.P., Turner, R.E., and Neuman, C.P., “Inter-temporal Models of Market Response to Advertising”, Queen’s University Working Paper, January 1973.
Sethi, S.P., Turner, R.E., and Neuman, C.P., “Policy Implications of an Intertemporal Analysis of Advertising Budgeting Models”, Proceedings of Midwest Aids Conference held at Michigan State University on April 13–14, 1973, pp. A15-A18.
Srinivasan, V., “Decomposition of a Multi-period Media Scheduling Model in Terms of Single Period Equivalents”, Management Science Research Report No. 212, Carnegie-Mellon University, June 1970.
Stigler, G., “The Economics of Information”, Journal ofPolitical Economy, 1961, pp. 213–225.
Tsurumi, H. and Tsurumi, Y., “Simultaneous Determination of Market Share and Advertising Expenditure Under Dynamic Conditions : The Case of a Firm within the Japanese Pharmaceutical Industry”, The Economic Studies Quarterly, Vol. 22, No. 3, December 1971, pp. 1–23.
Vidale, M.L., and Wolfe, H.B., “An Operations Research Study of Sales Response to Advertising”, Operations Research, Vol. 5, June 1957, pp. 370–381.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1974 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Sethi, S.P. (1974). Optimal Control Problems in Advertising. In: Kirby, B.J. (eds) Optimal Control Theory and its Applications. Lecture Notes in Economics and Mathematical Systems, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48290-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-48290-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-07026-9
Online ISBN: 978-3-642-48290-8
eBook Packages: Springer Book Archive