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Easy, reliable method for mid-term demand forecasting based on the Bass model: A hybrid approach of NLS and OLS

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  • Hong, Jungsik
  • Koo, Hoonyoung
  • Kim, Taegu

Abstract

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.

Suggested Citation

  • Hong, Jungsik & Koo, Hoonyoung & Kim, Taegu, 2016. "Easy, reliable method for mid-term demand forecasting based on the Bass model: A hybrid approach of NLS and OLS," European Journal of Operational Research, Elsevier, vol. 248(2), pages 681-690.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:2:p:681-690
    DOI: 10.1016/j.ejor.2015.07.034
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    Cited by:

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    6. Dong, Ming & Mao, Shunjie & Li, Shan, 2023. "Supplier's technology upgrading investment strategy considering product life cycle," International Journal of Production Economics, Elsevier, vol. 263(C).

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