Study on an Optimization Problem of Web Advertising Considering Inventory of Commodities

Author

Lihua Zhang ; Dingwei Wang

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

Volume

3

fYear

2008

fDate

3-4 Aug. 2008

Firstpage

47

Lastpage

51

Abstract

In order to make more shoppers actually buy something on an online shop of a traditional retailer and ensure that the inventory of commodities of the online shop can satisfy the orders, thereby maximize the profits of the online shop, the demand rates of commodities are firstly described. Secondly, the optimal ordering quantity every time and optimal times of order per cycle of each commodity are determined. Thirdly, a nonlinear programming model is provided, and a dynamic programming algorithm is given to solve this model. Finally, an example is proposed to explain the validity of the algorithm and the significance of the nonlinear programming model.

Keywords

Internet; advertising; dynamic programming; electronic commerce; inventory management; nonlinear programming; retailing; Web advertising; commodities inventory; demand rate; dynamic programming; nonlinear programming model; online shop; optimal ordering quantity; optimization problem; Advertising; Biological system modeling; Dynamic programming; Heuristic algorithms; Internet; Mathematical model; Programming; Ecommerce; nonlinear programming; online shop; web advertising;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3290-5

Type

conf

DOI

10.1109/CCCM.2008.222

Filename

4609794