標題: ESTIMATING PROCESS CAPABILITY INDEXES FOR NONNORMAL PEARSONIAN POPULATIONS
作者: PEARN, WL
CHEN, KS
交大名義發表
工業工程與管理學系
National Chiao Tung University
Department of Industrial Engineering and Management
關鍵字: CAPABILITY INDEXES;NONNORMAL PEARSONIAN POPULATIONS;UNCENTERED TARGET
公開日期: 1-九月-1995
摘要: Clements(1) introduced a method for calculating the estimators of two classical process capability indices (PCI), C-p and Cpk, for non-normal Pearsonian populations. Pearn and Kotz(2) applied Clements' method to obtain first approximation estimators of PCIs for non-normal populations to the two more advanced PCIs, C-pm and C-pmk developed by Chan et al.(3) and Pearn ct al.(4) In this paper, we consider a different approach for calculating the estimators of the four PCIs. The new approach may be viewed as a modification of Clements' method. Comparisons between Clements' and the proposed new methods are also provided.
URI: http://hdl.handle.net/11536/1750
ISSN: 0748-8017
期刊: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume: 11
Issue: 5
起始頁: 386
結束頁: 388
顯示於類別:期刊論文


文件中的檔案:

  1. A1995TB27300010.pdf