Education, Science, Technology, Innovation and Life
Open Access
Sign In

Demand Forecasting of Short-life-cycle Products Based on Improved Generalized Norton-Bass Model

Download as PDF

DOI: 10.23977/fmess.2019.061

Author(s)

Jie Chen, Weilian Wang

Corresponding Author

Jie Chen

ABSTRACT

The shorter life cycle of products brings great challenges to the demand forecasting. This paper took a research on the value deteriorating short-life-cycle products. An improved Generalized Norton-Bass model was built for demand forecasting with consideration of the seasonal factor, price reduction and consumer behaviors in the market where multi-generational products coexist. Finally, a numerical experiment of three-generation MP3 products’ sales was given, which proved that the improved GNB model could well forecast the demand of short-life-cycle products. And the analysis of the forecasting result was given.

KEYWORDS

Short-life-cycle product, demand forecasting, improved Generalized Norton-Bass model

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.