Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Greg F Piepel"'
Autor:
Jessie Yuyun Yang, John J Peterson, Andre I Khuri, Heidi B Goldfarb, Siuli Mukhopadhyay, Greg F Piepel, Walter H Carter
This is the first edited volume on response surface methodology (RSM). It contains 17 chapters written by leading experts in the field and covers a wide variety of topics ranging from areas in classical RSM to more recent modeling approaches within t
Publikováno v:
Quality Engineering. 33:221-239
A mixture experiment (ME) combines components in various proportions and observes the values of one or more responses for each mixture. The proportions of the q components in each mixture must sum ...
Autor:
Bryan Stanfill, Greg F. Piepel, John D. Vienna, Bradley Jones, Scott K. Cooley, Jared O. Kroll
Publikováno v:
Quality Engineering. 31:463-472
This article presents a case study of developing a space-filling design (SFD) for a constrained mixture experiment when the experimental region is specified by single-component constraints (SCCs), ...
Publikováno v:
Quality Engineering. 28:220-230
This article presents a case study of developing an experimental design for a constrained mixture experiment when the experimental region is defined by single-component constraints (SCCs), linear m...
Publikováno v:
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences. 117
A paper by Foglio Bonda et al. published previously in this journal (2016, Vol. 83, pp. 175–183) discussed the use of mixture experiment design and modeling methods to study how the proportions of three components in an extemporaneous oral suspensi
Publikováno v:
Journal of Quality Technology. 41:181-197
A process for producing low-fat mayonnaise investigates optimizing the raw material recipe and process variable levels. A mixture-process variable design was constructed and run as a split-plot experiment. Squared-error loss, mean-squared error, and
Autor:
Greg F. Piepel, John J. Borkowski
Publikováno v:
Journal of Quality Technology. 41:35-47
Two number-theoretic methods are introduced for generating space-filling designs for constrained mixture experiments defined by single- and multiple-component constraints. The methods are illustrated for a simple 3-component mixture problem and a mor
Autor:
Greg F. Piepel, Scott K. Cooley
Publikováno v:
Quality Technology & Quantitative Management. 6:255-270
In developing models for mixture experiments, the first step typically involves fitting a complete Scheffe linear mixture (SLM) model using all components varied in the experiment. It next may be desirable to reduce a complete SLM model by (i) elimin
Publikováno v:
Journal of Quality Technology. 40:245-258
In many product-quality situations, it must be shown with high confidence (X%) that a high percentage (at least Y%) of the product made during the production period has true values of property below a calculated value. This can be done using an X%/Y%
Autor:
Greg F. Piepel
Publikováno v:
Quality Technology & Quantitative Management. 4:331-343
The Scheffe linear model and the Cox linear model are two first-order model forms commonly used for analyzing mixture experiment data. In a fitted Scheffe linear model, the coefficient for a mixture component is the predicted response at that pure co