题名

The Process Capability Index C_(pk) of the Weibull Distribution

并列篇名

Weibull分配下的C_(pk)製程能力指標

作者

江俊佑(Jyun-You Chiang);王帥(Shuai Wang);秦燕(Yan Qin);鄭茜(Xi Zheng)

关键词

The process capability indices ; Maximum likelihood estimate ; The Weibull distribution ; The Logistic distribution ; 製程能力指標 ; 極大似然估計 ; Weibull分配 ; Logistic分配

期刊名称

中國統計學報

卷期/出版年月

58卷4期(2020 / 12 / 01)

页次

312 - 326

内容语文

英文

中文摘要

The process capability index is a simple method to quantify manufacturing capabilities. The traditional process capability index (PCI) requires data to follow normal distribution, but this assumption is not reasonable in practical applications. In this paper, we consider the problem of calculating the process capability index C_(pk) when the random variable follows the Weibull distribution. Monte Carlo simulation studies are conducted to evaluate the performance of the proposed capability index C_(pk). The results show that our proposed PCI results are very close to the target value and can obtain other additional process improvement information. Finally, the proposed method is applied to two data set.

英文摘要

製程能力指標是量化製造能力的一種簡單方法。傳統的製程能力指標要求資料服從常態分配,但這種假設在實際應用中可能無法滿足這個要求。本文研究了隨機變數服從Weibull分配時,過程能力指數C_(pk)的估計方法。經由蒙地卡羅模擬研究評估所提出的製程能力指數C_(pk)的表現,其結果表明,我們提出的C_(pk)結果與目標值非常接近,並且可以獲得其他額外的製程改進方向或訊息。最後,我們將該本篇提出的方法應用於兩個實際的問題中。

主题分类 基礎與應用科學 > 統計
参考文献
  1. Albing, M.(2009).Process capability indices for Weibull distributions and upper specification limits.Quality & Reliability Engineering International,25(3),317-334.
  2. Balamurali, S.,Usha, M.(2019).Determination of an efficient variables sampling system based on the Taguchi process capability index.Journal of the Operational Research Society,70(3),420-432.
  3. Besseris, G. J.(2019).Evaluation of robust scale estimators for modified Weibull process capability indices and their bootstrap confidence intervals.Computers & Industrial Engineering,128,135-149.
  4. Chen, K. S.,Pearn, W. L.(1997).An application of non-normal process capability indices.Quality and Reliability Engineering International,13,355-360.
  5. Chen, K. S.,Wang, K. J.,Chang, T. C.(2018).A novel approach to deriving the lower confidence limit of indices Cpu, Cpl, and Cpk in assessing process capability.International Journal of Production Research,55(17),1-19.
  6. Clements, J. A.(1989).Process Capability calculations for non-normal distribution.Qual Prog,24(9),95-100.
  7. Kashif, M.,Aslam, M.,Al-Marshadi, A. H.,Jun, C.,Khan, M. I.(2017).Evaluation of Modified Non-Normal Process Capability Index and Its Bootstrap Confidence Intervals.IEEE Access,5(1),12135-12142.
  8. Kashif, M.,Aslam, M.,Rao, G. S.,AL-Marshadi, A. H.,Jun, C.-H.(2017).Bootstrap Confidence Intervals of the Modified Process Capability Index for Weibull distribution.Arabian Journal for Science and Engineering,42(11),4565-4573.
  9. Lawless, J. F.(1982).Statistical Models and Methods for Lifetime Data.New York:Wiley.
  10. Pearn, W. L.,Chen, K. S.(1997).Capability indices for non-normal distributions with an application in electrolytic capacitor manufacturing.Microelectronics Reliability,37(12),1853-1858.
  11. Philippe, C.(1996).Evaluation of Non-Normal Process Capability Indices Using Burr's Distributions.Quality Engineering,8(4),587-593.
  12. Piña -Monarrez, M. R.,Ortiz-Yañez, J. F.,Rodríguez-Borbón, M. I.(2016).Nonnormal Capability Indices for the Weibull and Lognormal Distributions.Quality and Reliability Engineering International,32(4),1321-1329.
  13. Rao, G. S.,Aslam, M.,Kantam, R. R. L.(2016).Bootstrap confidence intervals of CN pk for inverse Rayleigh and log-logistic distributions.Journal of Statistical Computation and Simulation,86(5),862-873.