Lean Six Sigma Black Belt

Categories: Six Sigma
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About Course

The Lean Six Sigma Black Belt course is an advanced program designed for professionals aiming to become experts in the Lean Six Sigma methodology. This comprehensive training equips learners with the skills to lead complex improvement projects and drive significant efficiency gains in various business processes. Module 1: Define Phase lays the foundation, introducing Six Sigma, its fundamentals, how to select projects effectively, and identifying elements of waste. Module 2: Measure Phase deepens the understanding through Process discovery, Six Sigma statistics, Measuring system analysis, and assessing process capability. Module 3: Analyze Phase teaches analytical techniques for identifying root causes, including various statistical and Hypothesis testing methods for both normal and non-normal data. Module 4: Improve Phase covers Process and regression modeling, designing experiments, and Experimental methods to optimize processes. Module 5: Control Phase focuses on sustaining improvements through advanced experiments, Capability analysis, Lean controls, Defect controls, statistical process control (SPC), and developing Six Sigma control plans. By completing this Lean Sigma Black Belt certification, learners will acquire the expertise to lead strategic projects, improve quality, and enhance operational efficiency, making them valuable assets to any organization.

 
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What Will You Learn?

  • Learning Objectives - What you will Learn in this Lean Six Sigma Black Belt?
  • Introduction to Learning Outcomes
  • The Lean Six Sigma Black Belt course equips you with advanced process improvement and quality management skills, focusing on the Define, Measure, Analyze, Improve, and Control (DMAIC) methodology to enhance business productivity.
  • Learning Objectives and Outcomes
  • Understand the core principles of Six Sigma and how it can be applied to streamline business processes for quality improvement.
  • Identify and select the right projects that align with organizational goals and have the potential for significant impact.
  • Gain proficiency in recognizing elements of waste within processes and learn strategies for waste reduction.
  • Develop expertise in process discovery to accurately capture the current state and identify areas for improvement.
  • Learn to apply Six Sigma statistics to make data-driven decisions and predict process behaviors.
  • Conduct Measurement System Analysis (MSA) to ensure the reliability and accuracy of data collected.
  • Assess process capability to understand current performance and identify performance gaps.
  • Master inferential statistics and hypothesis testing to analyze process data and validate improvement efforts.
  • Acquire skills in advanced regression and process modeling to predict outcomes and optimize process performance.
  • Design and interpret full and fractional factorial experiments to identify the factors that have the most influence on process outcomes.
  • Implement statistical process control (SPC) and control plans to maintain long-term process improvements and ensure that gains are sustained over time.