A new approach to assess product lifetime performance for small data sets

Der Chiang Li, Liang Sian Lin

研究成果: Article同行評審

24 引文 斯高帕斯(Scopus)

摘要

Because of cost and time limit factors, the number of samples is usually small in the early stages of manufacturing systems, and the scarcity of actual data will cause problems in decision-making. In order to solve this problem, this paper constructs a counter-intuitive hypothesis testing method by choosing the maximal p-value based on a two-parameter Weibull distribution to enhance the estimate of a nonlinear and asymmetrical shape of product lifetime distribution. Further, we systematically generate virtual data to extend the small data set to improve learning robustness of product lifetime performance. This study provides simulated data sets and two practical examples to demonstrate that the proposed method is a more appropriate technique to increase estimation accuracy of product lifetime for normal or non-normal data with small sample sizes.

原文English
頁(從 - 到)290-298
頁數9
期刊European Journal of Operational Research
230
發行號2
DOIs
出版狀態Published - 2013 十月 16

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 建模與模擬
  • 管理科學與經營研究
  • 資訊系統與管理

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