Design of Experiments
Dr. Douglas C. Montgomery, Regents Professor at Arizona State University
Location: Arizona State University - Tempe Arizona
Dates: February 8-11, 2011
Program Sections:
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- Program Overview
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Interest in design of experiments (DOX) has greatly increased in recent years. Many organizations have effectively integrated the design of experiments methodology into their overall operational improvement strategy. This includes organization 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.
Well-designed experiments are a powerful tool for developing and validating cause and effect relationships when evaluating and improving product and process performance. Designed experiments are the only efficient way to verify the impact of changes in product or process factors on actual performance.
This course on DOX is unique in that it is taught by an internationally known expert in the field, author of the most widely-used textbook on the subject, who has over 30 years of experience in teaching and using the methods in a wide variety of industrial end business settings. The course focuses on all aspects of DOX, including the statistical side, and on the effective utilization of DOX strategies, and practical interpretation of results. This course will definitely help you and your organization to make the most effective utilization of DOX.
- Course objectives
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- 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 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.
- Who Should Attend
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Anyone responsible for the transitional research and development activities associated with product realization, including process development and improvement. This includes anyone involved with managing and improving product and/or process performance, including engineers, scientists; engineering managers, product designers and developers, and process engineers should attend this course. Process or product development engineers or managers, manufacturing engineers and managers, research scientists, engineers, or managers, and technical personnel in quality assurance or engineering will benefit from this course.
Course attendees will be prepared to plan experiments, execute tem and collect data, and analyze and interpret these data to provide the knowledge required for business success.
- Topics
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- 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 method - system optimization.
- Dealing with multiple responses.
- Experiments with random factors, variance components.
- Restrictions on randomization - hard-to-change factors, split-plot designs.
- Robust design - dealing with noise factors.
- For a schedule of topics, please review the course syllabus
- Instructors
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Douglas C. Montgomery is Regents' Professor of Industrial Engineering and Statistics and the ASU Foundation Professor of Engineering at Arizona State University. He received the PhD in engineering from Virginia Tech. His research interests focus on designed experiments for product/process design and development, empirical model-building, and process monitoring and control. Dr. Montgomery is an author of 11 books that have appeared in over 30 English editions and numerous foreign language editions, including the course textbook, and over 180 archival journal papers. He has mentored 50 PhD students and over 40 MS students. He is a recipient of the Shewhart Medal, the Brumbaugh Award, the Lloyd S. Nelson Award, the William G. Hunter Award, and the Shewell Award (twice) from the American Society for Quality. He is also a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology and is the currently one of the Chief Editors of Quality & Reliability Engineering International. He serves on the editorial boards of several other professional journals. Dr. Montgomery is a Fellow of the American Statistical Association, a Fellow of the American Society for Quality Control, A Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, an Elected Member of the International Statistical Institute, and an Elected Academician of the International Academy for Quality.
Dr. Connie M. Borror an Associate Professor in the Department of Mathematics and Applied Computing at Arizona State University West. She earned her Ph.D. in Industrial Engineering from Arizona State University in 1998. Her research interests include experimental design, response surface methods, and statistical process control. She has co-authored two books and over 50 journal articles in these areas.
Dr. Borror has taught numerous short courses on response surface methodology, robust design, statistical process control, experimental design, basic statistics, green belt training, and using statistical packages such as Minitab.
Dr. Borror is a member of the American Statistical Association, the Royal Statistical Society, the American Society for Engineering Education, and a Senior Member of the American Society for Quality and the Institute of Industrial Engineers.
- Registration, Refunds and Cancellations
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The registration fees for the Design of Experiments short course held at Arizona State University includes instruction, handouts, the textbook, and a catered lunch. Hotel accommodations are not included.
Seating at the course is limited. Enroll for the course as soon as possible to assure your space. You will receive a confirmation email upon registration. Fees may be paid by check, money order, purchase order, or credit card (VISA, MasterCard, and American Express) and must be received four weeks prior to the start date. Please make all remittances payable, in U.S. funds, to Arizona State University.
If you register and then need to cancel, please note that there is a cancellation fee. Written requests for cancellation may be sent to Dreamlyn.johnson@asu.edu . The rate of the fee is determined by how far in advance of the program start date the written request for cancellation is received by the office of Global Outreach and Extended Education. The cancellation fee schedule is as follows:
- Four or more weeks prior - 10% of program fee
- Three weeks prior - 50% of program fee
- Within two weeks - 75% of program fee
Registrants who do not attend or who do not cancel are subject to the complete program fee. Participant substitutes may be made by submitting a written request in advance. The office of Global Outreach and Extended Education reserves the right to change instructors, cancel or reschedule the program in the event of insufficient enrollment or unforeseen circumstances.
- Program Fee
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$1695 (includes the course materials, a copy of the course textbook, Design and Analysis of Experiments, 7th Edition, by Douglas C. Montgomery, 2008, John Wiley & Sons, and a catered lunch daily). Group discounts and program customization is available.
- Register
For more information contact:
Amy Sever,
Manager - Professional and Executive Programs
asu.cpd@asu.edu