期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 248, 期 2, 页码 681-690出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2015.07.034
关键词
Forecasting; New product diffusion; Nonlinear least square; Ordinary least square; Genetic algorithm
资金
- National Research Foundation of Korea - Korean Government [NRF-2013S1A5A8022646]
- National Research Foundation of Korea [2013S1A5A8022646] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
For mid-term demand forecasting, the accuracy, stability, and ease of use of the forecasting method are considered important user requirements. We propose a new forecasting method using linearization of the hazard rate formula of the Bass model. In the proposal, reduced non-linear least square method is used to determine the market potential estimate, after the estimates for the coefficient of innovation and the coefficient of imitation are obtained by using ordinary least square method with the new linearization of the Bass model. Validations of 29 real data sets and 36 simulation data sets show that the proposed method is accurate and stable. Considering the user requirements, our method could be suitable for mid-term forecasting based on the Bass model. It has high forecasting accuracy and superior stability, is easy to understand, and can be programmed using software such as MS Excel and Matlab. (C) 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
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