Online Six Sigma Green Belt Certification

Program Format

The program has a defined start and completion date for the online training portion of the program. The program is delivered conveniently online with video streamed lectures available 24 hours a day, 7 days a week. The online format provides the flexibility necessary for busy professionals.

A course moderator is provided to support and facilitate the program with coaching and advising for each student.

The online materials provide exercises to practice tools and concepts, case analysis in both engineering/manufacturing and business transactional areas, and interactive discussions with peers and the course moderator.

Students have 60 days after the end of the program to complete and submit their final project for certification.

Students must have a working knowledge of statistics to successfully complete the program. Please review the following course details:

• The following are due dates for the program:

  • 15 days after program start date: submit project ideas for review

  • 30 days after program start date: submit a project update

  • 45 days after program start date: submit a more detailed project update

  • Program end date: All quizzes must be completed

  • 90 days after program start date: final update

  • 60 days after program end date: final project due

• Students must complete the online lectures and the quizzes by the course end date

• A cumulative score of 70% or higher must be attained on the quizzes to receive certification

• A Green Belt project from the workplace is required and must be completed 60 days after the end of the program to receive certification

A course moderator is available to answer questions and provide project coaching.

Students who meet the above requirements will receive a Six Sigma Green Belt certification from the Ira A. Fulton Schools of Engineering at Arizona State University.

Faculty

Douglas C. Montgomery, Ph.D., is a Regents Professor of Industrial Engineering and Statistics, and ASU Foundation Professor of Engineering at Arizona State University. Additional accolades include;

• John M. Fluke Distinguished Professor of Engineering, Director of Industrial Engineering and Professor of Mechanical Engineering at the University of Washington in Seattle

• Professor of Industrial and Systems Engineering at Georgia Tech

• BSIE, MS and Ph.D. degrees from Virginia Tech

• Recipient of the Shewhart Medal, William G. Hunter Award, Brumbaugh Award, and the Shewell Award (twice) from the American Society for Quality Control

• Interests focus on industrial statistics, including design of experiments, quality and reliability engineering, applications of linear models, and time series analysis and forecasting

• Industrial experience includes engineering assignments with Union Carbide Corporation and Eli Lilly and Company, and extensive consulting experience

• Visiting Professor of Engineering at the Monterey Institute of Technology in Monterrey, Mexico, and a University Distinguished Visitor at the University of Manitoba

• The Office of Naval Research, the National Science Foundation, the United States Army, and private industry have sponsored Dr. Montgomery's research

George C. Runger, Ph.D., is a Professor of Industrial Engineering at Arizona State University. He has co-authored research papers on real-time monitoring and control, data mining, and other data-analysis methods with a focus on large, multivariate data streams. He teaches these and related subjects in graduate courses at ASU. His work is funded by grants from the National Science Foundation.

Dr. Runger was previously a faculty member at the University of Maryland and at Renssaeler Polytechnic Institute. He has industrial experience with IBM as a senior engineer.

Dr. Runger's areas of expertise are statistical process control, multivariate statistics, experimental design and data mining. He holds the BSIE from Cornell University and the Ph.D. in Statistics from the University of Minnesota.

Dr. George Runger is a two time recipient of the Martin A. Brumbaugh Award, annually given out by the American Society for Quality for the most important journal paper in the field.

John Fowler, Ph.D. is a professor in the operations research and production systems group in Industrial Engineering in the Ira A. Fulton Schools of Engineering at ASU. Fowler received his B.S., M.S. and Ph.D. in Industrial Engineering from Texas A&M University in 1982, 1986 and 1990, respectively. In addition Dr. Fowler;

• Came to ASU in 1995 as an assistant professor after serving as an adjunct assistant professor in the mechanical engineering department at the University of Texas and as a visiting assistant professor at Texas A&M

• Began in industry in 1986 at Lodestone II, Inc. as a simulation analyst

• Served as a project manager at Advanced Micro Devices, a senior member of the technical staff at SEMATECH and a consultant to Tefen, USA

• Focuses research interests in modeling and analysis of semiconductor manufacturing systems, scheduling of water fabrication facilities, and manufacturing applications of operations research and discrete event simulation

• Served as a guest editor and on the editorial board for the Institute of Industrial Engineers (IIE)

Dan Shunk, Ph.D. is a professor of Industrial Engineering in the Ira A. Fulton Schools of Engineering at ASU. Shunk received his B.S.I.E., his M.S.I.E. and his Ph.D. degrees from Purdue University in 1971, 1972 and 1976, respectively. Other accolades include:

• Captain and Co-Founder of the ICAM Program for the United States Air Force

• Extensive industry experience at the Rockwell Corporation, International Harvester, GCA Corporation, Motorola, the United States Army, Digital Equipment Corporation, SUN Microsystems, Transcript Communications, Level One Communications, Intel, Oracle and Avnet

• Arrived from industry to ASU in 1984 as an associate professor of industrial engineering and from 1984 to 1994, served as the CIM Systems Research Center Director

• Avnet Chair of Supply Network Integration

• Teaches graduate courses in enterprise modeling and integration and formulation of strategy and policy in the organization in W. P. Carey MBA - Technology Program and the W. P. Carey MBA Technology Program in China

• Research and teaching interests are in the areas of computer integrated manufacturing, electronic commerce progression, time compression, cultural acceptance of change, enterprise integration and material/information/knowledge supply network integration

course syllabus

The Six Sigma Green Belt program is a combination of online course work and an applied project, during which a green belt project will be completed.

Students will focus on DMAIC problem solving by covering the topics below:

• Choosing and managing six sigma projects

• Process mapping

• Choosing metrics, establishing a measurement systems, and collecting data

• Analytical, graphical, and numerical tools

• Normal distribution, process capability analysis, and measurement systems analysis

• Relationships between variables, correlation, and regression analysis for two variables

• Inferential statistics
  
  For more information, view the course syllabus

Required Texts & Software:

Students are required to purchase the textbooks and software necessary for success in the program. Textbooks and software are not included in the program fee. For a list of requirements, please review the course syllabus

Program Fee

$1295 (includes training, quizzes, lecture notes, and project coaching). Students are required to purchase the textbooks and software. Group discounts for five or more employees from the same company and program customization are available. Only one discount per student.

Refunds and Cancellations

Payment is due two weeks prior to the program start date.  Payment can be made by credit card, check, money order, or purchase order. Please keep the following important information in mind:

• There is a deadline to complete the program. You until the course end date to complete the online lectures, quizzes, and exams. You will have an additional 60 days after the program ends to complete the project. Students who do not complete the program by the deadline are subject to an administrative fee.

• Payments will be processed two weeks before the program start date.  Students who cancel after this date are subject to a 10% cancellation fee.

• There are no refunds or cancellations once the program begins. Students may only cancel this course prior to the program start date.

• Transfers: you will have a period of 14 days from the start date if you need transfer to another start date of the Six Sigma Green Belt program.  There is a fee of $200 to transfer to another start date. After 14 days, there is no option to transfer to another start date.

• To cancel or transfer, please send request via email to Layla Reitmeier at layla@asu.edu

Students will receive an email confirmation upon enrolling. Approximately one week before the start of the program, students will receive more information about the course and accessing the online course materials