Lean Six Sigma Green Belt Training

Overview

This comprehensive Six Sigma DMAIC course equips you with the skills to drive data-backed process improvements and sustain quality excellence. Begin by mastering the Define and Measure phases—learn to build project charters, capture customer requirements (VoC), and analyze processes through mapping and capability studies. Progress to the Analyze phase with tools like hypothesis testing, regression, and exploratory data analysis to uncover root causes. In the Improve phase, implement solutions using Design of Experiments (DOE), Lean techniques, and decision tools like SCAMPER and Pugh Matrix. Conclude with the Control phase, applying SPC, control plans, and Lean methods like 5S and TPM for long-term impact. You should have a background in operations, project management, or quality control, along with a basic understanding of business processes and statistical concepts. By the end of this course, you will be able to: - Apply DMAIC: Lead Six Sigma projects from problem identification to solution control - Use Statistical Tools: Conduct root cause analysis with testing, regression, and capability studies - Optimize Processes: Apply DOE, Lean tools, and solution selection methods for effective improvements - Sustain Improvements: Use SPC, 5S, and control plans to maintain long-term results Ideal for quality professionals, process owners, and team leads.

Syllabus

Define Phase

Master the Define Phase of Six Sigma with a focus on project identification, voice of the customer (VoC), and team dynamics. Learn to build project charters, define CTQs, apply SIPOC and HOQ models, and use planning tools like affinity diagrams and matrix charts. Understand process metrics, risk analysis, and team roles to launch high-impact, customer-focused improvement projects.

Measure Phase

Gain in-depth skills in the Measure Phase of Six Sigma by mastering process analysis, statistical tools, and data collection methods. Learn to map processes, apply probability and statistical concepts, and summarize data using Excel. Explore measurement system analysis, Gage R&R, and process capability studies to assess performance and ensure data-driven decision-making.

Analyze Phase

Master the Analyze Phase of Six Sigma by learning how to identify root causes using data-driven techniques. Gain expertise in hypothesis testing, ANOVA, and T-tests to validate assumptions. Explore correlation, regression, and residual analysis for deeper insights. Learn to apply statistical methods and exploratory data analysis to drive meaningful process improvements.

Improve Phase

Advance through the Improve Phase of Six Sigma by learning how to implement effective solutions using root cause analysis and Lean tools. Explore Design of Experiments (DOE) for process optimization, apply Kaizen for cycle time reduction, and evaluate ideas with tools like Pugh Matrix and SCAMPER. Use cost-benefit analysis and piloting to select and implement impactful improvements.

Control Phase

Learn to sustain Six Sigma improvements in the Control Phase by applying Statistical Process Control (SPC) and control plans. Understand control charts like X̄, I-MR, p-chart, and c-chart, and use CUSUM and EWMA for advanced monitoring. Develop effective control plans, use Lean tools like 5S, TPM, and visual factory to maintain process stability and ensure long-term quality performance.