A review of robust process design approaches
- 1 July 1995
- journal article
- review article
- Published by Wiley in Journal of Chemometrics
- Vol. 9 (4) , 239-262
- https://doi.org/10.1002/cem.1180090402
Abstract
The aim of this paper is to present a simple structured review of the different approaches to robust process design to clarify their similarities and dissimilarities. It is primarily written for practitioners who wish to understand and compare the main ideas of each approach and to apply them to their work. Two examples are used to illustrate the different approaches and their corresponding data analysis strategies: the first one is a constructed example on a pigment kneading process and the second one is real example dealing with the validation of an HPLC method. A comparison of the different approaches is provided and some practical recommendations are formulated.Keywords
This publication has 27 references indexed in Scilit:
- A Systematic Approach to Planning for a Designed Industrial ExperimentTechnometrics, 1993
- ARE LARGE TAGUCHI-STYLE EXPERIMENTS NECESSARY? A REANALYSIS OF GEAR AND PINION DATAQuality Engineering, 1993
- Taguchi's Parameter Design: A Panel DiscussionTechnometrics, 1992
- Economical Experimentation Methods for Robust DesignTechnometrics, 1991
- Generalized linear models for the analysis of taguchi‐type experimentsApplied Stochastic Models and Data Analysis, 1991
- Statistical Thinking and Its Contribution to Total QualityThe American Statistician, 1990
- Design and Analysis of Computer ExperimentsStatistical Science, 1989
- Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise RatiosTechnometrics, 1987
- Dispersion Effects From Fractional DesignsTechnometrics, 1986
- Use of Half-Normal Plots in Interpreting Factorial Two-Level ExperimentsTechnometrics, 1959