Two-Day Technical Workshop

Introduction to Design of Experiments

Are you trying to improve your processes but running into limited resources to conduct all the experiments needed to validate your process and design changes?

ASQ1401 brings to you training for the use of the most powerful of all the six sigma tools–Design of Experiments; a seminar with renowned expert and author Douglas Montgomery helps to address the following:
 

• To demonstrate how sequential experimentation is used in building knowledge and understanding of how complex systems work;

• To show how statistical and process-oriented thinking can guide the experimental planning process to produce the most effective experimental strategy;

• To teach the fundamental concepts and methodologies of Design of Experiments (DOX) in a straightforward manner, allowing participants to master the techniques;

• To demonstrate how most of the major software packages (Minitab, JMP, Design-Expert) can facilitate effective implementation of DOX.

Come learn from Douglas Montgomery how to effectively integrate the design of experiments methodology into overall operational improvement strategy.  This includes organizations employing six sigma and design for six sigma. DOX is the most powerful of the six sigma tools, and its impact on product design and development, manufacturing, and production operations can be profound. 

Location:

This workshop will be held at the College of Business Administration building Room 319, third floor, at UTEP.  Lunch and snack breaks are included in the cost of registration.

Date:  March 26^th and 27^th, 2010;  Friday and Saturday.

Topics:

•          Fundamentals of DOX - randomization, replication, and blocking.

•          Planning for a designed experiment - type and size of design, factor selection, levels and ranges, response measurement, sample sizes.

•          Sequential experimentation strategies for factor screening, noise reduction, and optimization.

•          Graphical and statistical approaches to DOX analysis.

•          Blocking to eliminate the impact of nuisance factors on experimental results.

•          Factorial experiments and interactions.

•          Fractional factorials - efficient and effective use of experimental resources.

•          Response surface methods - system optimization.

About the instructor:                                           

DOUGLAS C. MONTGOMERY 

Dr. Douglas C. Montgomery is Professor of Industrial and Management Systems Engineering at Arizona State University. He holds BSIE, MS and PhD degrees from Virginia Polytechnic Institute.

Doug’s professional interests include several aspects of applied statistics and quality and reliability engineering, including design of experiments, time series analysis and forecasting, and applications of linear models. He also has interests in operations research and statistical methods applied to modeling and analyzing manufacturing systems. He has lectured extensively throughout the Americas, Europe and the Far East. He was a Visiting Professor of Engineering at the Monterrey Institute of Technology in Monterrey, Mexico, and a University Distinguished Visitor at the University of Manitoba

An author of eleven books, including Applied Statistics and Probability for Engineers (1994, with G.C. Runger), Design and Analysis of Experiments, 5th edition (1997), Introduction to Statistical Quality Control, 3rd edition (1996), Introduction to Linear Regression Analysis, 2nd edition (1992, with E. A. Peck) ), and Forecasting and Time Series.  His industrial experience includes engineering assignments with Union Carbide Corporation and Eli Lilly and Company. He also has extensive consulting experience with many national and international organizations.

He is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, and a Fellow of the Institute of Industrial Engineers, and has held several national offices in these societies. He is a member of the honorary societies Phi Kappa Phi, Sigma Xi, Mu Sigma Rho, and Alpha Pi Mu. Also was named Puget Sound Outstanding Industrial Engineer of the Year in 1986 and Engineer of the Year for 1987 by the Puget Sound Engineering Council. He is a recipient of the Shewhart Medal, the William G. Hunter Award, the Brumbaugh Award, and the Shewell Award from the American Society for Quality. He is also a recipient of the Ellis R. Ott Award. He has also received several outstanding teaching awards, including the Arizona State University Engineering College Graduate Teaching Excellence Award in 1994.

Two Easy ways to register:

On-line: enroll on-line at www.asq1401.org/doxreg.htm  --- use paypal or credit card

By mail: complete and mail enrollment form with check or money order to:

        Hector Lugo

        ASQ1401 Treasurer

       6397 Franklin Gate Dr.

         El Paso, TX 79912-8166

For Information call 915-208-2502

Online Registration    http://asq1401.org/doxreg.htm

Whatever your method of registration, be sure to enroll right away since space is limited. As soon as we receive your registration, we’ll send your Express Admission Ticket. Simply bring it with you to the program and hand it to the registrar. If your ticket doesn’t arrive before the workshop, be sure to go anyway. We’ll be expecting you. Walk-in registrations are welcome on a space-available basis only.

Cancellations and substitutions. Cancellations received up to five working days before the workshop are refundable, minus a $25 registration service charge. After that, cancellations are subject to the entire workshop fee, which you may apply toward a future workshop. Please note that if you don’t cancel and don’t attend, you are still responsible for payment. Substitutions may be made at any time.

ASQ 1401 2-Day Technical Workshop Introduction to Design of Experiments

March 25&26 2010 College of Business Administration Room 312 University of Texas at El Paso

Payment Information  (Full payment must be received by March 12, 2010 to ensure registration – can be done online for immediate confirmation http://asq1401.org/doxreg.htm )