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Mathematical Problems in Engineering
Volume 2017, Article ID 3038203, 12 pages
Research Article

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

Department of Industrial Engineering and Management, National Chiao Tung University, 1001 University Rd., Hsinchu 30010, Taiwan

Correspondence should be addressed to Hui-Chih Hung; wt.ude.utcn@chh

Received 10 December 2016; Accepted 2 May 2017; Published 21 May 2017

Academic Editor: Fazal M. Mahomed

Copyright © 2017 Hui-Chih Hung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.