Online Six Sigma Green Belt Certification

Fee: $1295
SME Members: $1165

Public Program Dates

This is a cohort program and new classes will be offered.

  • May 19 - Aug. 11, 2010
  • Sep. 22 - Dec. 15, 2010
Program Sections:

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Overview

Arizona State University, through the Department of Industrial Engineering and the Interdisciplinary Committee on Statistics, has developed a new educational initiative in six sigma methodology. This program allows professionals to pursue an educational focus in six sigma techniques and implementation as part of a noncredit professional certification.

The Industrial Engineering program at ASU is among the top 20 programs in the nation, as ranked by U.S. News & World Report. We have the finest faculty of industrial statistics in the world. ASU faculty and industry leaders, who have successfully deployed six sigma transformations for many years, teach the Six Sigma Green Belt program bringing both methods, leadership and deployment strategies into the curriculum.

Green Belts should be able to quantify the current state of a process, assess the capability of a measurement system, perform data analysis, and stratify output variables into potential sources of variation. Some examples of outcomes could include reduction of variation in processes, reduction of defects or errors to increase demand and customer satisfaction, and data analysis driving product quality and reliability.

The Green Belt candidate will learn the strategic framework - Define, Measure, Analyze, Improve, and Control, or simply DMAIC. Through this methodology, the Green Belt candidate discovers how to best apply the supporting tools providing short-cycle, high-yield improvements in the business processes within the organization.

Upon completion of the course, participants will understand the Six Sigma methodology, Six Sigma Metrics, Lean tools, Value Stream Mapping, and analytical skills for successful application.

The program is delivered conveniently over the Internet through video streamed lectures (available 24 hours a day 7 days a week), exercises to practice tools and concepts, case analysis in both engineering/manufacturing and business transactional areas, and interactive discussions with peers and a moderating coach. This convenient format provides the flexible format necessary for busy professionals.

Noncredit Professional Certification Requirements

There are specific requirements for this program. It is incumbent on you, the student, to have the back ground necessary to successfully complete the course. Please review the following fully and carefully so you can plan appropriately for the timing of the class, the content and work load. If you still have questions on your qualifications please contact us directly prior to registration.

  • A working knowledge of statistical methods
  • Students must complete the courses, exercises, and exam within 3 months of the start date
  • A score of 70% or higher must be attained on the exam to receive certification
  • A Green Belt project from the workplace is required and must be completed within 5 months of the start date of the program to receive certification
  • Certification is administered by ASU Fulton School of Engineering, an ABET Accredited Engineering School
  • The program is organized in a cohort (group) format with a defined start and completion date for the training portion of the program
  • A course moderator is provided to support and facilitate the program with coaching and advising for each student

Six Sigma Green Belt Faculty

Dr. Douglas C. Montgomery

Doug Montgomery, Ph.D., is a Regent's 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 Monterey, 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

Dr. George Runger

George C. Runger, Ph.D., is a Professor in the department 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.

Required Texts & Software:

(not included in program fee)

  • Introduction to Statistical Quality Control, 6th Edition, by Douglas C. Montgomery, 2008, John Wiley & Sons, Inc. (ISBN: 0470169923)
  • Introduction to Statistical Quality Control, Student Resource Manual, 6th Edition, by Douglas C. Montgomery, 2008, John Wiley & Sons, Inc. (ISBN: 0470449489)
  • Lean Six Sigma: Combining Six Sigma Quality with Lean Production Speed by Michael L. George, 2002, McGraw-Hill (ISBN: 0071385215)
  • Lean Thinking: Banish Waste and Create Wealth in Your Corporation by James P. Womack and Daniel T. Jones, Revised and Updated, 2003, Simon & Schuster, Inc. (ISBN: 0743249275)
  • Minitab Version 14 or 15 (student version is acceptable, software available to registered students during the timeframe of the course).

Textbooks available at most bookstores or online. The following are suggested links:
www.amazon.com
www.campusbooks.com
www.ecampus.com
www.bigwords.com
www.walmart.com

Minitab Version 14 or 15 (student version is acceptable). This software is required to complete this course. You may purchase Minitab from any vendor or online (not included in the cost of the program).

Technical Requirements:

In order to view the online course, the following is the basic recommended setup to successfully view our educational material;

  • Pentium or equivalent processor
  • 128 MB RAM
  • CD-ROM drive (preferred)
  • Sound card and speakers
  • Color monitor (17" or better preferred) set to display at 800x600
  • High-speed Internet access
  • Windows 98 SE, NT 4.x or newer operating system
  • Internet Explorer 5.5 or later
  • Windows Media Player 9 or newer
  • Acrobat Reader and Flash browser plugins

Program Deliverables

The following defines due dates and expectations for project and exam deliverables:

Week 1 - After your start date a short project summary must be submitted to the course moderator during the first week of the cohort. In this summary, participants are required to inform the moderator about their project ideas.

30 Days after your start date - Project Update - This is a progress report.

45 Days after your start date - Second Project Update - include more details.

EXAMS - Participants are required to complete all exams within 90 days of the start date. There is one exam for each topic within this program. Each exam contains multiple choice and true/false questions. All of your exam scores will be combined and must average 70% or higher to pass the course.

PROJECT - Due 5 months after your start date. This report will include all your project related work. A project template will be provided in the course materials.

Program Fee

$1295 (includes training, exam, and project coaching) Students are required to purchase the textbooks and software. Group discounts and program customization are available

Refunds and Cancellations

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 three (3) months 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 $250 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

Registration

For more information contact:

Amy Sever,
Manager - Professional and Executive Programs
asu.cpd@asu.edu