Six Sigma Green Belt Certification
Six Sigma Green Belt - Improve and Control
In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and
changing the input variables and observing the effects on the response variable(s). Over 5 hours of training, this program is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is
designed to assist learners as part of their exam preparation.
Six Sigma is a registered Trademark of Motorola Corporation, and all right, title, and interest in Six Sigma belongs to Motorola
Target Audience
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the
responsibility of improving quality and processes at the organizational or departmental level
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Six Sigma Green Belt - Improve and Control Training Curriculum Online
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sk6sigimpcgb
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$149.00
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Design of Experiments and Validation of Solutions in Six Sigma
After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas to optimize the response, and then the ideas are tested, implemented, and
validated. Later in the control stage, efforts are made to keep the improved processes, products, or services under statistical control and to retain the gains.This course explains the basic design of
experiments (DOE) concepts and outlines how to select, test, and validate improvement solutions in the final stages of a Six Sigma project. During the course, basic DOE concepts such as factors, levels,
interactions, and main effects are introduced. The course also explores the full and fractional factorial designs and the DOE process. In addition, it teaches how to select, test, and validate solutions using a
variety of analysis, screening, and testing tools commonly used in Six Sigma.
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Statistical Process Control and Control Plans in Six Sigma
In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain
the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various
control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold the gains, and to assist in monitoring and
implementing controls. This course aims to introduce basic SPC and control chart concepts and how to develop a control plan to hold the gains prior to the closure of a Six Sigma project. The course identifies
the key objectives and benefits of SPC and explains the concept of rational subgrouping. It also introduces
the different types and the key elements of control charts, and identifies control chart patterns that indicate
an out-of-control process. In addition, the types of control plans and the steps used to construct a control plan are discussed.
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Using Basic Control Charts in Six Sigma
In a Six Sigma DMAIC project, once you've measured your current processes, analyzed the gaps and causes of problems, and improved processes to the desired level, you need to monitor and control them
over an extended period of time. The process may show variation, and control charts are used to determine
if the variation is natural to the process or if there is another reason for the discrepancy. Control charts can
also be used in other stages of Six Sigma – to examine how a process is performing over time and also to
identify and analyze any special cause variations. Depending on the type of data, different types of control
charts can be used. They are broadly organized into two categories: charts for variable data, and charts for attribute data. As the journey continues, findings from the control charts may be used as the beginning
point for a new improvement initiative.This course deals primarily with basic control chart concepts and how they are created and analyzed in Six Sigma. It teaches methods of creating and analyzing key variable and
attribute control charts. The course also identifies the control charts to use in specific situations and the various steps in the standard control charting process.
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