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As of April 2021, the online Six Sigma Green Belt Certification has been replaced by the online Lean Six Sigma Green Belt Certification. The Six Sigma Green Belt Certification remains an active and recognized credential by the Fulton Schools of Engineering, demonstrating a deep understanding and working knowledge of Six Sigma, its strategic objectives, and the application of tools.
The office of Global Outreach and Extended Education keeps a record of all certified Six Sigma Green Belt professionals through our office, and the certification does not expire. To verify a credential, please contact us at firstname.lastname@example.org or (480) 727-4534.
Six Sigma has been in use for decades and its impact can be far-reaching with significant financial gains as evidenced by companies such as General Electric and Xerox. While the origins and initial use of these methodologies and tools are in manufacturing and date back to the post WWII industrial boom, they have gained a strong foothold across all industry sectors in recent years as well as increased usage across all functional areas within those companies adopting a continuous improvement culture.
The ASU Six Sigma Green Belt Certificate program is 100% ONLINE. It examines the Define, Measure, Analyze, Improve and Control (DMAIC) methodology; a customer-focused, fact and data-driven methodology that guides continuous improvement and operations excellence. This DMAIC methodology provides a series of tools, primarily statistical in nature, which form a disciplined roadmap for developing solutions to existing problems, processes and products. The statistical tools useful in DMAIC are reviewed and their integration into the problem-solving process is illustrated.
The Six Sigma Green Belt program is a combination of online coursework and an applied project, covering the topics below:
A Six Sigma Green Belt fulfills a variety of roles that contribute towards an organization’s continuous improvement objectives as well as meeting overall strategic goals. In most cases the Green Belt improves processes within their specific work area or as a part-time member of a team contributing to a larger scale Black Belt or Master Black Belt project.
For example, Green Belts should be able to quantify the current state of a process, identify and remove waste, 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 service quality and reliability.
In completing this course participants will gain:
To earn the Six Sigma Green Belt Certificate participants are required to complete the online quizzes and receive a cumulative score of at least 70%, and execute an applied Six Sigma project. A project report template is provided as well as personalized coaching by an experienced course facilitator. The course is structured according to the Six Sigma “DMAIC” methodology and project status updates, or Tollgates, are scheduled throughout to assist in proper execution of the project. The final project report is due 60 days after the end of instruction. With the completion of this course, you qualify for 4.5 continuing education units from Arizona State University.
Note: It is recommended that the project be based on your workplace, however if unemployed or unable to identify a workplace-based project alternatives exist such as completing a project on a non-profit organization or other association you are/would like to be affiliated with. Additionally, many have found success in offering a target company, such as one you hope to be employed by in the future, the opportunity to have a Six Sigma project completed. Please feel free to contact us for further ideas and support if needed.
The Six Sigma Green Belt Program requires working knowledge of statistics, such as a college-level statistics course, other statistical training or work experience with statistical analysis.