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
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;
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
DOI :
10.1109/ICMSS.2010.5577867
