Khalilzadeh, Majid, Neghabi, Hossein and Ahadi, Ramin . AN APPLICATION OF APPROXIMATE DYNAMIC PROGRAMMING IN MULTI-PERIOD MULTI-PRODUCT ADVERTISING BUDGETING. J. Ind. Manag. Optim.. SPRINGFIELD: AMER INST MATHEMATICAL SCIENCES-AIMS. ISSN 1553-166X

Full text not available from this repository.

Abstract

Advertising has always been considered a key part of marketing strategy and played a prominent role in the success or failure of products. This paper investigates a multi-product and multi-period advertising budget alloca-tion, determining the amount of advertising budget for each product through the time horizon. Imperative factors including life cycle stage, BCG matrix class, competitors' reactions, and budget constraints affect the joint chain of decisions for all products to maximize the total profits. To do so, we define a stochastic sequential resource allocation problem and use an approximate dy-namic programming (ADP) algorithm to alleviate the huge size of the problem and multi-dimensional uncertainties of the environment. These uncertainties are the reactions of competitors based on the current status of the market and our decisions, as well as the stochastic effectiveness (rewards) of the taken ac-tion. We apply an approximate value iteration (AV I) algorithm on a numerical example and compare the results with four different policies to highlight our managerial contributions. In the end, the validity of our proposed approach is assessed against a genetic algorithm. To do so, we simplify the environment by fixing the competitor's reaction and considering a deterministic environment.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Khalilzadeh, MajidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Neghabi, HosseinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ahadi, RaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-570080
DOI: 10.3934/jimo.2021202
Journal or Publication Title: J. Ind. Manag. Optim.
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMS
Place of Publication: SPRINGFIELD
ISSN: 1553-166X
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
ALLOCATION; SALES; MEDIA; MODELMultiple languages
Engineering, Multidisciplinary; Operations Research & Management Science; Mathematics, Interdisciplinary ApplicationsMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/57008

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item