A reminder for two courses being run by guest lecturer Dr Douglas
Montgomery - "SPC - Beyond the Basics" and "Process and Product
Optimization using Designed Experiments - Response Surface Methods in
Practice", both scheduled to take place in mid July.

Summary information is given below.  For more detailed information and
registration either visit our website (http://www.reading.ac.uk/ssc, go to
"Short Courses" and link to Douglas Montgomery courses) or contact Kellie
Watkins at the Statistical Services Centre, The University of Reading
(email [log in to unmask]).

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Presented by Dr Douglas C. Montgomery, Arizona State University, USA
We are delighted to welcome back Dr Montgomery, Professor of Engineering at
Arizona State University.  Dr Montgomery has full time industrial
experience and has consulted with many industrial organisations.  He is an
author of 12 books, including widely used texts on design of experiments,
engineering statistics, and statistical quality control and improvement.


Statistical Process Control - Beyond the Basics
Dates:  12 - 14 July
Duration:  3 days
Price:  £750 (£1450 for both courses)

This is an intermediate-level course in statistical process control and
other techniques for statistical process monitoring and improvement.  The
course assumes familiarity with basic Shewhart control charts, and is
intended for engineers, technical managers, statisticians and other process
specialists who are interested in expanding the tools that they can apply.

Statistical process control concepts are reviewed and various different
control charts such as Shewhart, cumulative sum (CUSUM) and exponentially
weighted moving average (EWMA) are all discussed.  Other topics include
monitoring processes with autocorrelated data, process monitoring and
process regulation, multivariate process monitoring and control, and
capability analysis.  The use of computer software to implement the
techniques is discussed and illustrated.

Course text:  Montgomery, D.C. (1996), Introduction to Statistical Quality
Control, 3rd Edition, John Wiley and Sons, New York - included in fee.


Process and Product Optimization using Designed Experiments - Response
Surface Methods in Practice
Dates:  17-19 July
Duration:  3 days
Price:  £785 (£1450 for both courses)
Experimental design methods based on the factorial strategy are used
extensively in industry.  These experiments usually have system (product or
process) characterisation as their objective.  That is, finding the key
variables that influence the output of the system.

Once the key process variables have been identified, the experimenters'
objective usually becomes system optimisation; that is, finding the setting
of the important variables that result in the best or ideal system
performance.  Response surface methodology (RSM) is a powerful collection
of experimental design, modelling and optimisation techniques for
accomplishing these objectives.  This course is a comprehensive
introduction to RSM, including the strategy of RSM, basic experimental
designs and optimisation techniques, and methods for simultaneously
optimising several responses of interest.  Two important extensions of RSM,
robust process design and experiments with mixture systems, are also
discussed.  Mixture experiments are particularly useful for product
formulators, but also have extensive application in process and
manufacturing settings, such as plating and etching.  

Computer software for planning and analysing RSM experiments is illustrated
extensively throughout the course.

Course text:  Myers, R.H. and Montgomery, D.C. (1995), Response Surface
Methodology: Process Optimization using Designed Experiments.  John Wiley
and Sons, New York - included in fee.

Kellie Watkins
Statistical Services Centre
The University of Reading
Harry Pitt Building
PO Box 240
Whiteknights Road
Reading    RG6 6FN
UK

Tel:  +44 (0)118 931 8689
Fax:  +44 (0)118 975 3169

Tel:  	+44 (0)118 931 8689
Fax:  	+44 (0)118 975 3169
Email:	[log in to unmask]

See our website on http://www.reading.ac.uk/ssc


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