Online Robust Design for Six Sigma Program
Fee: $1,295.00
SME Members: $1165
Program Dates
Program Sections:
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- Course Description
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Robust Design for Six Sigma (RDFSS) is a new set of engineering and statistical tools to be used during the product realization process to ensure that products meet customer needs and that the critical functional performance, or critical-to-quality characteristics, of these products exhibit minimum variability. The corrupting influence of variability in product quality characteristics is a primary source of customer dissatisfaction. This course is intended for engineers, scientists, and managers involved in all phases of product realization; design, development, manufacturing/process engineering, materials, quality, and reliability. It provides both an approach and a specific set of tools, including computer software, for successfully implementing RDFSS.
- Course Instructors
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Instrumental in developing the technical methods that comprise RDFSS is Dr. Douglas C. Montgomery of Arizona State University. His RDFSS theories and methods have been widely published in the engineering and scientific literatures. These faculty members have had extensive industrial experience in the deployment of six sigma and RDFSS. All of the ASU faculty members of this program have had extensive industrial experience in the deployment of six sigma and RDFSS.
Doug Montgomery is a professor in the Department of Industrial Engineering. Dr. Montgomery received his B.S.I.E., M.S. and Ph.D. from the Virginia Polytechnic Institute. He is an author of thirteen textbooks, a recipient of the Shewhart Medal, and a two-time recipient of the Shewell Award from the American Society for Quality Control.
Dr. Montgomery has industrial experience which includes engineering assignments with Union Carbide Corporation and Eli Lilly and Company. He also has extensive consulting experience with many national and international organizations. Dr. Montgomery has professional and research interests in industrial statistics, including design of experiments, quality control, applications of linear models, and time series analysis and forecasting. He has lectured extensively throughout the Americas, Europe, and the Far East.
Dr. Dan Shunk came from industry to ASU in 1984 as an associate professor of Industrial Engineering. He is currently serving as the Avnet Chair of Supply Network Integration. Professor Shunk also teaches courses in the areas of enterprise modeling and integration as well as formulation of strategy and policy in the organization in both the W. P. Carey MBA - Technology Program and the W. P. Carey MBA - Technology Program in China.
Dr. Connie M. Borror is an Associate Professor in the Department of Mathematics and Applied Computing at Arizona State University West. Dr. Borror 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 40 journal articles in these areas. Dr. Borror is also 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 Institute of Industrial Engineers.
- Learning and Knowledge Outcomes
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- Designing products so that they are insensitive to the variability transmitted by components or raw materials.
- Effective engineering design employing computer models.
- Formulating products that are insensitive to variability from environmental factors that impact product performance once the product is deployed in the field.
- Designing processes so that manufactured products will be as close as possible to the desired target requirements even though some process variables or material properties are difficult or impossible to control.
- Designing products so that all of the critical-to-quality functional and performance characteristics are as close as possible to nominal or target values and exhibit minimum variability around those targets.
- Designing products with dynamic characteristics so that they are robust to transmitted sources of variability.
Robust Design for Six Sigma has evolved from traditional robust parameter design and conventional methods for design for six sigma (DFSS) by:
- Developing new techniques based on empirical model-building,
- Providing highly efficient experimental strategies, and
- Integrating the methodology in easy-to-use PC-based software.
- Who Should Attend
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This course provides a comprehensive presentation of the methodology, and illustrates its application to a wide range of product design and formulation problems. The course is suitable for participants from a broad range of industries, including electronics and semiconductor, automotive, aerospace, chemical and process, pharmaceutical, medical device, and biotechnology. Course participants should have some previous experience and background with six sigma methods.
- Noncredit Professional Certification Requirements
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- One previous course in engineering statistics, basic working knowledge of statistical methods; proficient in computing and interpreting the sample mean and standard deviation; previous exposure to the normal distribution; familiarity with concepts of testing hypotheses (the t-test, for example), constructing and interpreting a confidence interval, model-fitting using the method of least squares, and some familiarity with matrix algebra is required.
- Students are required to complete the courses, exercises, and exam within 60 days of the start date
- The overall average score for the exam must be 70% or higher
- Certification is administered the ABET Accredited Fulton School of Engineering
- The program is organized in a cohort (group) format with a defined start and completion date for the training portion of the program
- Required Textbooks & Software: (not included in program fee)
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- Design and Analysis of Experiments, 6th Edition, by Douglas C. Montgomery, 2005, John Wiley & Sons (ISBN: 047148735X)
- Design and Analysis of Experiments, Student Solutions Manual, 6th Edition, by Douglas C. Montgomery, 2005, John Wiley & Sons (ISBN: 0471733040) - Optional; but suggested
- Design-Expert Software, Educational Version 6.0, September 2000, Stat-Ease, Inc. (ISBN: 0471394114)
www.campusbooks.com
www.ecampus.com
www.bigwords.com
www.walmart.com - Technical Requirements
- Course Schedule
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Modules and video topics include:
- Introduction to Robust Design for Six Sigma (RDFSS)
- Six Sigma and the Product Design Process
- Background for RDFSS - Overview of Standard Methods
- Enhancements to Standard Methods using Empirical Models
- Basic Experimental Strategy: RDFSS for First-order Systems
- Advanced RDFSS Strategy for First-order Systems
- Complicated Cases: RDFSS with Second-order Systems
- Experimental Strategy: RDFSS for Second-order Systems
- Optimization of Multiple Critical-to-Quality Design Requirements
- RDFSS for Product Formulation
- Experimental Strategy: Split-Plot Structure of RDFSS Experiments
- Optimization of Designs with Signal Factors and Dynamic Characteristics
- Final Review and Course Conclusion
- Refunds and Cancellations
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As a working student we know that life gets hectic and unforeseen circumstances occur. Here are some things to keep in mind;
- While this program is self paced there is a deadline to complete the course. You have 60 days from the start of this program to complete the course and the exams. You will have an additional two (2) months after the program ends to complete the project.
- There are no refunds or cancellations once the program begins. Students may only cancel this course prior to the course start date.
- Cohort transfers: you will have a period of 2 weeks from the start date if you find you need to take the option to transfer to another cohort. There is a fee of $200 to do so.
- After 2 weeks from the start date there is no option to transfer to another cohort program.
- To cancel or transfer this course, please send request via email to amy.sever@asu.edu or fax (480) 965-8653
Registrants who do not attend and do not cancel are subject to the complete fee. Participant substitutes may be made by submitting in advance a written request. The Center reserves the right to change instructors or cancel or reschedule a program in the event of insufficient enrollment or unforeseen circumstances.
- Registration
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For more information contact:
Amy Sever,
Manager - Professional and Executive Programs
asu.cpd@asu.edu