Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.1078
Title: An information management paradigm for statistical experiments
Authors: Goh, T.N. 
Keywords: Design of experiments
Design optimization
Engineering statistics
Mathematical models
Process optimization
Robust design
Issue Date: Jul-2010
Source: Goh, T.N. (2010-07). An information management paradigm for statistical experiments. Quality and Reliability Engineering International 26 (5) : 487-494. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.1078
Abstract: Optimization of engineering processes and products via statistical design of experiments is an approach well known to statisticians but still not popularly used by technical personnel. This paper sets out a pattern of reasoning that would facilitate the appreciation, on the part of non-mathematicians, of the principles and advantages of using statistical experimental design for process and product modeling and optimization. Use is made of the concepts of information transformation and conservation in a language that is familiar to those of purely technical background, leading to better understanding, acceptance and application of the efficiency and effectiveness of statistical experiments. In today's environment of the prevalence of software and hardware for statistical analysis, engineers concerned with quality and reliability would particularly benefit from such a paradigm for process and product performance improvement. Copyright © 2009 John Wiley & Sons, Ltd.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/63008
ISSN: 07488017
DOI: 10.1002/qre.1078
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

3
checked on Nov 22, 2017

Page view(s)

14
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.