Using non-equigap grey model for small data set forecasting - A color filter manufacturing example

Der Chiang Li, Che Jung Chang, Chien Chih Chen, Chia Sheng Chen

研究成果: Article

11 引文 斯高帕斯(Scopus)

摘要

An important issue faced by enterprises is how to control manufacturing system effectively; particularly in the early stage of a manufacturing system. However, the data acquired in this stage is only finite, which makes traditional forecasting methods unable to be presented ideally. The grey theory with its feature of limited sample modeling and its advantage in short-term forecasting is exactly one of the solutions desired. With the actual experiment of color filter manufacturing data, the forecasting effect of non-equigap model based on the grey theory is employed here, which implies the grey approach is a proper tool to deal with the problem of forecasting small data sets. Therefore, the grey model is considered having the critical value of practical applications.

原文English
頁(從 - 到)375-382
頁數8
期刊Journal of Grey System
22
發行號4
出版狀態Published - 2010 十二月 1

    指紋

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Control and Optimization
  • Applied Mathematics

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