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Industrial statistics and its recent contributions to total quality in the Netherlands
Author(s) -
Does R. J. M. M.,
Roes K. C. B.
Publication year - 1996
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1996.tb01479.x
Subject(s) - statistical process control , quality (philosophy) , control chart , variation (astronomy) , statistical thinking , quality management , computer science , statistics , total quality management , key (lock) , shewhart individuals control chart , process (computing) , econometrics , operations research , management science , mathematics , operations management , engineering , lean manufacturing , ewma chart , computer security , epistemology , astrophysics , operating system , management system , philosophy , physics
The use of statistical methods in quality management has a long history. Most of the pioneers, such as Walter A. Shewhart and W. Edwards Deming, refer to themselves as statisticians. Statistical thinking in industry means that all work is a series of interconnected processes, that all processes show variation, and that a reduction in variation is the key for continuous improvement. In the statistical literature we find several approaches to achieve this: quality by inspection, quality by process control and quality by design. In this paper we give a survey of the contributions of Dutch statisticians during the last five years.