DocumentCode
2189558
Title
Demand Forecasting in Automotive Aftermarket Based on ARMA Model
Author
Chen, Yun ; Zhao, Heng ; Yu, Li
Author_Institution
Sch. of Publics Econ. & Adm., Shanghai Univ. of Finance & Econ., Shanghai, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
The rapid development of automobile industry in China promotes the fast growth of the automotive aftermarket. Facing the fierce market competition, it is necessary for a company to forecast the demand for auto spare parts. This paper proposes a method based on ARMA model to fulfill the important task. The accuracy and ease of use of the method is illustrated through the case study with the sales data of a 4s shop in Shanghai.
Keywords
automobile industry; automotive components; autoregressive moving average processes; competitive intelligence; demand forecasting; marketing; ARMA model; auto spare parts; automobile industry; automotive aftermarket; autoregressive moving average; demand forecasting; market competition; sales data; Automotive engineering; Autoregressive processes; Demand forecasting; Marketing and sales; Mathematical model; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5577867
Filename
5577867
Link To Document