Paper Info
Title
Daily demand forecasting of new products utilizing diffusion models and genetic algorithms
Abstract
New high technology consumer products are released frequently. The manufacturers have to avoid dead stock because the value of the products drops sharply after the launch of new products. Thus, the importance of daily demand forecasting is increasing. In this paper, we propose a daily demand forecasting method for new products. The method uses diffusion models to forecast demand. A Genetic Algorithm (GA) is used to estimate the parameters of the model. In order to apply the diffusion model to daily demand forecast, we introduce time-variant parameters, which depend on the day of the week. The proposed method is applied to the daily demand forecasting of high technology consumer products. The result shows that the proposed method has an excellent daily demand forecasting ability.
Year
DOI
Venue
2009
10.1145/1529282.1529525
SAC
Keywords
Field
DocType
high technology consumer product,daily demand forecasting,new high technology consumer,excellent daily demand forecasting,genetic algorithm,daily demand forecasting method,daily demand forecast,diffusion model,new product,demand forecast,demand forecasting
Econometrics,Demand forecasting,Computer science,Diffusion (business),Genetic algorithm,New product development
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Masaru Tezuka102.37
Munakata Satoshi201.35