Forecasting demand of short life cycle products by SVM

Author

Xu Xian-hao ; Zhang Hao

Author_Institution

Sch. of Manage., Huazhong Univ. of Sci. & Technol., Wuhan

fYear

2008

fDate

10-12 Sept. 2008

Firstpage

352

Lastpage

356

Abstract

In this paper, the demand of short life cycle products is forecasted by the method of SVM in the conditions of data deficiency. The method considers productspsila demand, demand forecasted by Bass model and season factor as affecting factors of the demand of short life cycle product, the training sample and forecasting sample varies when the time changes. Then SVM forecasting model is set up and with it the demand is forecasted. The comparison with relative models indicates that the presented method is more valid in forecasting the demand of short life cycle products.

Keywords

economic forecasting; product life cycle management; support vector machines; SVM; demand forecasting; short life cycle products; support vector machine; Conference management; Demand forecasting; Economic forecasting; Engineering management; Pattern recognition; Predictive models; Support vector machine classification; Support vector machines; Technology forecasting; Technology management; SVM; bass model; forecasting; short life-cycle products;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on

Conference_Location

Long Beach, CA

Print_ISBN

978-1-4244-2387-3

Electronic_ISBN

978-1-4244-2388-0

Type

conf

DOI

10.1109/ICMSE.2008.4668939

Filename

4668939