Saturday, June 29, 2013

Design of Statistical Industrial Experiments

A systematic approach to planning for a designed industrial experiment
David E. Coleman
Alcoa Laboratories
Alcoa Center, A 15069

Douglas C. Montgomery
Industrial Engineering Department 
Arizona State University
Tempe, AZ 85287

Design of experiments and analysis of data from designed experiments are well-established
methodologies in which statisticians are formally trained. Another critical and rarely taught
skill is the planning that precedes designing an experiment. This article suggests a set of tools
for presenting generic technical issues and experimental features found in industrial experi-
ments. These tools are predesign experiment guide sheets to systematize the planning process
and to produce organized written documentation. They also help experimenters discuss com-
plex trade-offs between practical limitations and statistical preferences in the experiment. A
case study involving the (computer numerical control) CNC-machining of jet engine impellers
is included.


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