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A Modified Lotka–Volterra Model for Diffusion and Substitution of Multigeneration DRAM Processing Technologies

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  • Hui-Chih Hung
  • Yu-Chih Chiu
  • Muh-Cherng Wu

Abstract

We attempt to develop an effective forecasting model for the diffusion and substitution of multigeneration Dynamic Random Access Memory (DRAM) processing technologies. We consider market share data and propose a modified Lotka–Volterra model, in which an additional constraint on the summation of market share is introduced. The mean absolute error is used to measure the accuracy of our market share predictions. Market share data in DRAM industries from quarter one (Q1) of 2005 to 2013 Q4 is collected to validate the prediction accuracy. Our model significantly outperforms other benchmark forecasting models of both revenue and market share data, including the Bass and Lotka–Volterra models. Compared to prior studies on forecasting the diffusion and substitution of multigeneration technologies, our model has two new perspectives: ( ) allowing undetermined number of multigeneration technologies and inconsecutive adoption of new technologies and ( ) requiring less data for forecasting newborn technologies.

Suggested Citation

  • Hui-Chih Hung & Yu-Chih Chiu & Muh-Cherng Wu, 2017. "A Modified Lotka–Volterra Model for Diffusion and Substitution of Multigeneration DRAM Processing Technologies," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:3038203
    DOI: 10.1155/2017/3038203
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    Cited by:

    1. Kuen-Suan Chen & Chin-Chia Liu & Chi-Han Chen, 2022. "Fuzzy Evaluation of Process Quality with Process Yield Index," Mathematics, MDPI, vol. 10(14), pages 1-11, July.

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