PRACTICAL APPLICATION OF STATISTICAL METHODS IN A QUALITY CONTROL PROGRAM

被引：0
|
作者：
ROGERS, WT
机构：
来源：
TRANSACTIONS OF THE AMERICAN SOCIETY FOR METALS | 1946年 / 36卷
关键词：
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
引用
下载
收藏
页码：361 / 388
页数：28
相关论文
共 50 条
  • [41] A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology
    Lu, Jye-Chyi
    Jeng, Shuen-Lin
    Wang, Kaibo
    JOURNAL OF QUALITY TECHNOLOGY, 2009, 41 (02) : 148 - 164
  • [42] APPLICATION OF STATISTICAL QUALITY-CONTROL TECHNIQUES TO STATISTICAL PSI CONTROL-PROBLEMS
    TAETZSCH, R
    JOURNAL OF PARAPSYCHOLOGY, 1958, 22 (04) : 304 - 304
  • [43] THE PRACTICAL APPLICATION OF A DAIRY-HERD HEALTH CONTROL PROGRAM
    DEKRUIF, A
    TIERARZTLICHE UMSCHAU, 1992, 47 (02): : 86 - &
  • [44] CONTROL CARD TECHNIQUES IN QUALITY CONTROL COMPARED WITH OTHER STATISTICAL METHODS
    STAMM, D
    ZEITSCHRIFT FUR ANALYTISCHE CHEMIE FRESENIUS, 1968, 243 (DEC): : 805 - &
  • [45] Application of statistical process control to IMRT quality assurance
    Fang, B.
    Shoale, J.
    Pawlicki, T.
    Boyer, A.
    MEDICAL PHYSICS, 2006, 33 (06) : 2071 - 2071
  • [46] Application of Statistical Process Control in API Quality Review
    Chen, Wei
    Ge, Siyi
    Xu, Yiming
    Wu, Mingyang
    Liang, Yi
    Chinese Journal of Pharmaceuticals, 2023, 54 (01) : 148 - 153
  • [47] THE APPLICATION OF STATISTICAL QUALITY-CONTROL IN INDUSTRIAL ADMINISTRATION
    LOBSINGER, DL
    BULLETIN OF THE INTERNATIONAL STATISTICAL INSTITUTE, 1958, 36 (03): : 433 - 457
  • [48] Application of statistical process control in quality management of ERP
    School of Mech., Wuhan University of Technology, Wuhan 430070, China
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban), 2007, 6 (1094-1097):
  • [49] PRACTICAL METHODS OF PROGRAM VERIFICATION
    NEPOMNYASHCHII, VA
    CYBERNETICS, 1984, 20 (02): : 193 - 203
  • [50] Air Quality Forecast by Statistical Methods: Application to Portugal and Macao
    Mendes, Luisa
    Monjardino, Joana
    Ferreira, Francisco
    FRONTIERS IN BIG DATA, 2022, 5
12345