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Course Criteria
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Designed to teach the principles of Lean and Six Sigma quality improvement for reducing waste and variation, participants in the class will learn concepts, tools and statistical applications common to the deployment of Lean Six Sigma. Following the DMAIC model, (Define, Measure, Analysis, Improve and Control), this course prepares participants to be functioning members of structured Lean Six Sigma teams. This course covers the body of knowledge necessary for preparing individuals to sit for the ASQ Certified Six Sigma Green Belt exam.
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Blending online and face-to-face instruction, this course prepares the participant for the ASQ Six Sigma Green Belt certification.
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In manufacturing, healthcare, finance or technology, the rules re the same: be globally competitive by eliminating waste and errors, controlling costs and improving business processes while providing improved customer service. Six Sigma applies to any industry or business and can improve performance and results. Six Sigma Black Belt training and project mentoring is based on applied learning and application of the five major elements of Six Sigma: define, measure, analyze, improve and control. Classroom learning is applied to a live-work project chosen by the sponsoring firm.
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The class is sponsored in conjunction with the local ASQ section in preparation for the October 17, 2009 (Registration deadline Aug 21, 09), Certified Six Sigma Black Belt exam at Ivy Tech Community College. The CSSBB prep class covers team leadership and team dynamics along with how to assign team member roles and responsibilities. Black Belts will understand all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of Lean enterprise concepts, are able to identify non-value-added elements and activities and are able to use specific tools.
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Participants will learn the basic fundamentals and tools of Lean Six Sigma.
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Participants will learn the basic fundamentals and tools of Lean Six Sigma by application of company specified topics
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Learn how to design quality into your products and decrease variation within existing processes, using the tools of Six Sigma, which are both state of the art and effective. Individuals skilled in six sigma methodology are highly sought after and traditionally well compensated in industry.
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Learn how to effectively apply the elements and methods of Six Sigma. Understand how more than 25 tools and methods relate to the DMAIC (define, measure, analyze, improve, and control) model. Determine the relationship of basic statistics to Six Sigma and learn about the Six Sigma business case including strategic planning, the voice of the customer (VOC), quality function deployment (QFD), benchmarking, and financial investment methods. Discover how to use brainstorming, Pareto charts, and critical to quality help define processes, problems and opportunities. Master the use of other key tools such as cause and effect diagrams, checksheets, scatter diagrams, failure mode and effects analysis (FMEA), and force field analysis. Learn how to define, plan, implement and close a Six Sigma project. This course will help prepare the student for internationally recognized Six Sigma Black Belt and Quality Manager exams offered by the American Society for Quality (ASQ).
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This seminar covers the basic principles and techniques used in understanding and applying statistical process control to a piece part manufacturing system. Topics such as normal vs. assignable cause; sources of variability; process capability and process control; variables vs. attributes; and the use, construction and interpretation of Shewhart and other control charts will be discussed.
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Advanced Statistical Process Control (SPC) builds on Introductory Statistical Process Control with techniques to ensure economic production of goods based on defect prevention rather than defect detection. With a focus on how data is collected and interpreted using the Infinity software, participants will start to become familiar with how Infinity collects and stores data for SPC.
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