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A fractional optimal control problem for maximizing advertising efficiency

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Author Info
Igor Bykadorov (Sobolev Institute of Mathematics, Novosibirsk)
Andrea Ellero () (Department of Applied Mathematics, University of Venice)
Stefania Funari () (Department of Applied Mathematics, University of Venice)
Elena Moretti () (Department of Applied Mathematics, University of Venice)

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Abstract

We propose an optimal control problem to model the dynamics of the communication activity of a firm with the aim of maximizing its efficiency. We assume that the advertising effort undertaken by the firm contributes to increase the firm's goodwill and that the goodwill affects the firm's sales. The aim is to find the advertising policies in order to maximize the firm's efficiency index which is computed as the ratio between "outputs" and "inputs" properly weighted; the outputs are represented by the final level of goodwill and by the sales achieved by the firm during the period considered, whereas the inputs are represented by the costs undertaken by the firm, fixed costs and advertising costs. The problem considered is formulated as a fractional optimal control problem. In order to find the optimal advertising policies we use the Dinkelbach's algorithm for fractional programming.

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File URL: http://www.dma.unive.it/wpdma/2007wp158.pdf
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File Function: First version, 2007
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Paper provided by Department of Applied Mathematics, University of Venice in its series Working Papers with number 158.

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Length: 17 pages
Date of creation: Nov 2007
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Handle: RePEc:vnm:wpaper:158

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Find related papers by JEL classification:
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
M37 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Advertising

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  1. D. Favaretto & B. Viscolani, 1996. "Optimal purchase and advertising for a product with immediate sale start," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 4(2), pages 301-318, December. [Downloadable!] (restricted)
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