J
James M. Lucas
Researcher at DuPont
Publications - 27
Citations - 5863
James M. Lucas is an academic researcher from DuPont. The author has contributed to research in topics: CUSUM & Shewhart individuals control chart. The author has an hindex of 17, co-authored 26 publications receiving 5587 citations.
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Journal Article
Exponentially weighted moving average control schemes: Properties and enhancements
TL;DR: The recognition that an EWMA control scheme can be represented as a Markov chain allows its properties to be evaluated more easily and completely than has previously been done.
Journal ArticleDOI
Exponentially weighted moving average control schemes: properties and enhancements
James M. Lucas,Michael S. Saccucci,Robert V. Baxley,William H. Woodall,Hazem D. Maragh,Fedrick W. Faltin,Gerald J. Hahn,William T. Tucker,J. Stuart Hunter,John F. MacGregor,Thomas J. Harris +10 more
TL;DR: In this article, the authors evaluate the properties of an exponentially weighted moving average (EWMA) control scheme used to monitor the mean of a normally distributed process that may experience shifts away from the target value.
Journal ArticleDOI
Taguchi's parameter design: a panel discussion
Bovas Abraham,Jock MacKay,George E. P. Box,Raghu N. Kacker,Thomas J. Lorenzen,James M. Lucas,Raymond H. Myers,G. Geoffrey Vining,John A. Nelder,M. S. Phadke,Jerome Sacks,William J. Welch,Anne C. Shoemaker,Kwok L. Tsui,Shin Taguchi,C. F. Jeff Wu,Vijayan N. Nair +16 more
TL;DR: A group of practitioners and researchers discuss the role of parameter design and Taguchi's methodology for implementing it and the importance of parameter-design principles with well-established statistical techniques.
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Combined Shewhart-CUSUM Quality Control Schemes
TL;DR: The SheWhart-CUSUM quality control scheme which combines the key features of the Shewhart and CUSUM control procedures is described and evaluated.
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Counted Data CUSUM's
TL;DR: Design and implementation procedures for counted data CUSUM's (these are sometimes called C USUM's for attributes) are described, which are easy to design and implement and can be used to detect both increases and decreases in the count level.